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Statistics and Operations Research

The Department of Statistics and Operations Research at the Universitat Politècnica de Catalunya (UPC) was created in 1987 as a result of the University Reform Law, which brought together various university groups that had previously been working separately in areas of statistics and operations research.

The Department has a staff of 40 professors who work between the School of Industrial Engineering of Barcelona (ETSEIB); the School of Industrial, Aerospace and Audio-visual Engineering of Terrassa (ESEIAAT); the Barcelona School of Informatics (FIB) and the School of Mathematics and Statistics (FME). The Department offers its own doctoral programme as well as master’s and postgraduate courses.

The Department is involved in a large number of research activities (mostly in the field of industrial engineering), the development of intelligent interfaces and automatic data processing systems, the optimisation and simulation of flows in networks and related applications.

COORDINATOR

Graffelman, Jan

CONTACT

ICT North Campus Management and Support Unit
ICT North Campus Management and Support Unit doctoral unit
Universitat Politècnica de Catalunya · BarcelonaTech
C/Jordi Girona, 1-3. Building B4-003
08034 Barcelona
93 401 77 61
doctorat.eio@upc.edu

General information

Access profile

In general, any student coming from a numbers-related discipline or holding a master’s degree in Statistics and Operations Research (preferably from the UPC) who earned good (in the top quarter) grades may be admitted into this doctoral programme.

Specifically, it is recommended that applicants hold one of the following undergraduate degrees:
• Bachelor’s degree in Statistical Techniques and Sciences
• Bachelor’s degree in Mathematics
• Bachelor’s degree in Computer Engineering
• Bachelor’s degree in Industrial Engineering
• Bachelor’s degree in Telecommunications Engineering
• Bachelor’s degree in Agricultural Engineering
• Bachelor’s degree in Biology
• Bachelor’s degree in Economics
• Bachelor’s degree in Sociology
• Bachelor’s degree in Medicine.

Students must be able to communicate in English, Catalan or Spanish.

Output profile

Doctoral candidates who complete a doctoral degree will have acquired the following competencies, which are needed to carry out quality research (Royal Decree 99/2011, of 28 January, which regulates official doctoral studies):

a) A systematic understanding of the field of study and a mastery of the research skills and methods related to the field.
b) An ability to conceive, design or create, put into practice and adopt a substantial process of research or creation.
c) An ability to contribute to pushing back the frontiers of knowledge through original research.
d) A capacity for critical analysis and an ability to assess and summarise new and complex ideas.
e) An ability to communicate with the academic and scientific community and with society in general as regards their fields of knowledge in the manner and languages that are typical of the international scientific community to which they belong.
f) An ability to foster scientific, technological, social, artistic and cultural progress in academic and professional contexts within a knowledge-based society.

The award of a doctoral degree must equip the graduate for work in a variety of settings, especially those requiring creativity and innovation. Doctoral graduates must have at least acquired the personal skills needed to:

a) Develop in contexts in which there is little specific information.
b) Find the key questions that must be answered to solve a complex problem.
c) Design, create, develop and undertake original, innovative projects in their field.
d) Work as part of a team and independently in an international or multidisciplinary context.
e) Integrate knowledge, deal with complexity and make judgements with limited information.
f) Offer criticism on and intellectually defend solutions.

Finally, with respect to competencies, doctoral students must:
a) have acquired advanced knowledge at the frontier of their discipline and demonstrated, in the context of internationally recognised scientific research, a deep, detailed and well-grounded understanding of theoretical and practical issues and scientific methodology in one or more research fields;
b) have made an original and significant contribution to scientific research in their field of expertise that has been recognised as such by the international scientific community;
c) have demonstrated that they are capable of designing a research project that serves as a framework for carrying out a critical analysis and assessment of imprecise situations, in which they are able to apply their contributions, expertise and working method to synthesise new and complex ideas that yield a deeper knowledge of the research context in which they work;
d) have developed sufficient autonomy to set up, manage and lead innovative research teams and projects and scientific collaborations (both national and international) within their subject area, in multidisciplinary contexts and, where appropriate, with a substantial element of knowledge transfer;
e) have demonstrated that they are able to carry out their research activity in a socially responsible manner and with scientific integrity;
f) have demonstrated, within their specific scientific context, that they are able to make cultural, social or technological advances and promote innovation in all areas within a knowledge-based society;
g) have demonstrated that they are able to participate in scientific discussions at the international level in their field of expertise and disseminate the results of their research activity to audiences of all kinds.

Number of places

12

Duration of studies and dedication regime

Duration
The maximum period of study for full-time doctoral studies is three years, counted from the date of admission to the programme to the date of submission of the doctoral thesis. The academic committee of the doctoral programme may authorise a doctoral candidate to pursue doctoral studies on a part-time basis. In this case, the maximum period of study is five years, counting from the date of admission to the programme to the date of submission of the doctoral thesis. For calculating these periods, the date of admission is considered to be the date of the first enrolment for tutorials, and the date of submission the moment in which the Doctoral School officially deposits the doctoral thesis.

For full-time doctoral candidates, the minimum period of study is two years, counted from the date of an applicant's admission to the programme until the date on which the doctoral thesis is deposited; for part-time doctoral candidates it is four years. When there are justified grounds for doing so, and the thesis supervisor and academic tutor have given their authorisation, doctoral candidates may request that the academic committee of their doctoral programme exempt them from the minimum period of study requirement.

The calculation of periods of study will not include periods of absence due to illness, pregnancy or any other reason provided for in the regulations in force. Students who find themselves in any of these circumstances must notify the academic committee of the doctoral programme, which, where appropriate, must inform the Doctoral School. Doctoral candidates may also temporarily withdraw from the programme for up to one year, and this period may be extended for an additional year. Doctoral candidates who wish to interrupt their studies must submit a justified request to the academic committee of the doctoral programme, which will decide whether or not to approve the request. Each programme will establish conditions for readmission to doctoral studies.

Extension
If full-time doctoral candidates have not applied to deposit their thesis by the end of the three-year period of study, the academic committee of the programme may authorise an extension of up to one year. In exceptional circumstances, a further one-year extension may be granted, subject to the conditions established by the corresponding doctoral programme. In the case of part-time doctoral candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of the doctoral programme.

Dismissal from the doctoral programme
A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
STRUCTURAL UNITS:
  • Department of Statistics and Operations Research (PROMOTORA)
Specific URL of the doctoral program:


CONTACT:
ICT North Campus Management and Support Unit
ICT North Campus Management and Support Unit doctoral unit
Universitat Politècnica de Catalunya · BarcelonaTech
C/Jordi Girona, 1-3. Building B4-003
08034 Barcelona
93 401 77 61
doctorat.eio@upc.edu

Access, admission and registration

Access profile

In general, any student coming from a numbers-related discipline or holding a master’s degree in Statistics and Operations Research (preferably from the UPC) who earned good (in the top quarter) grades may be admitted into this doctoral programme.

Specifically, it is recommended that applicants hold one of the following undergraduate degrees:
• Bachelor’s degree in Statistical Techniques and Sciences
• Bachelor’s degree in Mathematics
• Bachelor’s degree in Computer Engineering
• Bachelor’s degree in Industrial Engineering
• Bachelor’s degree in Telecommunications Engineering
• Bachelor’s degree in Agricultural Engineering
• Bachelor’s degree in Biology
• Bachelor’s degree in Economics
• Bachelor’s degree in Sociology
• Bachelor’s degree in Medicine.

Students must be able to communicate in English, Catalan or Spanish.

Access requirements

Applicants must hold a Spanish bachelor’s degree or equivalent and a Spanish master’s degree or equivalent, provided they have completed a minimum of 300 ECTS credits on the two degrees (Royal Decree 43/2015, of 2 February)

In addition, the following may apply:

  • Holders of an official degree awarded by a university in Spain or any other country in the European Higher Education Area, pursuant to the provisions of Article 16 of Royal Decree 1393/2007, of 29 October, which establishes official university course regulations, who have completed a minimum of 300 ECTS credits on official university degrees, of which at least 60 must be at the master's degree level.
  • Holders of an official Spanish bachelor’s degree comprising at least 300 credits, as provided for by EU regulations. Holder of degrees of this kind must complete bridging courses unless the curriculum of the bachelor’s degree in question included research training credits equivalent in value to those which would be earned on a master's degree.
  • Holders of an official university qualification who, having passed the entrance examination for specialised medical training, have completed at least two years of a training course leading to an official degree in a health-sciences specialisation.
  • Holders of a degree issued under a foreign education system. In these cases, homologation is not required, but the UPC must verify that the degree certifies a level of training equivalent to an official Spanish master's degree and qualifies the holder for admission to doctoral studies in the country where it was issued. Admission on this basis does not imply homologation of the foreign degree or its recognition for any purpose other than admission to doctoral studies.
  • Holders of a Spanish doctoral qualification issued under previous university regulations.
  • Note 1: Doctoral studies entrance regulations for holders of an undergraduate degree awarded before the introduction of the EHEA (CG 47/02 2014)

    Note 2: Governing Council Decision 64/2014, which approves the procedure and criteria for assessing the fulfilment of academic admission requirements for doctoral studies by holders of non-homologated foreign degrees (CG 25/03 2014)

Admission criteria and merits assessment

Students who have completed the UPC’s master’s degree programme in Statistics and Operations Research, having earned marks of at least 7 out of 10, will be accepted into the programme.

Students who have not participated in this specific master’s programme but have completed another one in statistics and/or operations research at another university at a similar level and who have an undergraduate degree in sciences or technology (such as a bachelors’ degrees Statistical Techniques and Sciences, Mathematics, Computer Engineering, Industrial Engineering, Telecommunications Engineering, Biology, Economics or Medicine) will be evaluated on the following criteria (weights in parentheses):
• Academic transcript in undergraduate and mater’s programmes (60%).
• Level of undergraduate and/or master’s studies completed or the universities where they were completed (30%).
• Knowledge of one or more of the languages in which the doctoral programme is taught (English, Catalan or Spanish) (10%).

Students are required to have earned at least 70% of the maximum grade possible in both their undergraduate and master’s studies. Standard university rankings will be used to assess the university the applicant attended (for example, http://www.topuniversities.com/university-rankings). The Academic Committee may require these students to complete up to 60 credits of bridging courses (subjects from the master’s programme in Statistics and Operations Research).

Training complements

The academic committee for the programme may require that doctoral students pass specific bridging courses. In this case, the committee will monitor the bridging courses and set up appropriate criteria to limit their length.

The courses could involve training in research or transversal education, but in no case will candidates be required to enrol in 60 or more ECTS credits.

Depending on the doctoral student activity report, the programme’s Academic Committee may propose measures, in addition to those established by current regulations, that would disassociate candidates who do not meet the established requisites.

The bridging courses will be agreed upon by the programme’s Academic Committee and each student’s tutor/supervisor. The bridging courses will be made up of subjects from the master’s degree programme in Statistics and Operations Research offered by UPC.

Students who have completed the master’s degree programme in Statistics and Operations Research at the UPC will not have to take any bridging courses.

Students who have been admitted to the doctoral programme and who have completed a different master’s programme will, as a general rule, have to complete some bridging courses (a minimum of 30, usually, and up to a maximum of 60 credits).

Students who have been admitted to the doctoral programme with an “Operations Research” background, will, if they have not acquired the knowledge in their previous master’s studies, have to take general common foundational courses and those covering the foundations of operations research from the master’s degree programme in statistics and operations research: Simulation, Modelling in Mathematical Programming, Optimisation, Stochastic Optimisation, Integer Programming and Combinatorial Optimisation, Large Scale Optimisation, Heuristic Methods in Mathematical Programming, Network Flows.

Students who have been admitted to the programme and who have a background in “Statistics” will have to take, if they have not previously acquired such knowledge in their previous master’s studies, the following common foundational and fundamental statistical courses from the master’s degree programme in Statistics and Operations Research: Probability and Stochastic Processes, Multivariate Analysis, Inference, Generalised Linear Models, Design of Experiments, Bayesian Inference, Survival Analysis, Forecasting and Time Series, Discrete Data Analysis, Longitudinal Data Analysis, Non-Parametric Models, Sampling Techniques.

Enrolment period for new doctoral students

Students enrolling in the doctoral programme for the first time must do so by the deadline specified in the admission decision.
Unless otherwise expressly indicated, enrolments corresponding to admission decisions issued from the second half of April on must be completed within the ordinary enrolment period for the current academic year.

More information at the registration section for new doctoral students

Enrolment period

Ordinary period for second and successive enrolments: first half of October.

More information at the general registration section

Monitoring and evaluation of the doctoral student

Procedure for the preparation and defense of the research plan

Doctoral candidates must submit a research plan, which will be included in their doctoral student activity report, before the end of the first year. The plan may be improved over the course of the doctoral degree. It must be endorsed by the tutor and the supervisor, and it must include the method that is to be followed and the aims of the research.

At least one of these annual assessments will include a public presentation and defence of the research plan and work done before a committee composed of three doctoral degree holders, which will be conducted in the manner determined by each academic committee. The examination committee awards a Pass or Fail mark. A Pass mark is a prerequisite for continuing on the doctoral programme. Doctoral candidates awarded a Fail mark must submit a new research plan for assessment by the academic committee of the doctoral programme within six months.

The committee assesses the research plan every year, in addition to all of the other activities in the doctoral student activity report. Doctoral candidates who are awarded two consecutive Fail marks for the research plan will be obliged to definitely withdraw from the programme.

If they change the subject of their thesis, they must submit a new research plan.

Formation activities

The following educational activities make up the doctoral programme in statistics and operations research:

  • Tutorial. This involves tutors following-up with students via weekly meetings lasting around two hours. These meetings are mandatory and without them, the doctoral thesis cannot progress.
  • Master’s courses and Summer School. These are aimed to supplement candidates’ education if they have not completed the master’s degree programme in Statistics and Operations Research at the UPC. This includes advanced courses taught by visiting professors under the framework of the Summer School for the University’s master’s degree programme in Statistics and Operations Research (School of Mathematics and Statistics). The number of hours could reach those required to complete 60 credits (varying based on students’ backgrounds). In general, they include optional activities, though the Academic Committee or thesis supervisors could require that some of the courses be taken depending on the student’s background.
  • Seminars. Candidates will be required to regularly attend the Statistics and Operations Research Department’s seminars so that they may network with renowned researchers on both the national and international level and in order to expose themselves to cutting-edge research problems. Seminars typically last one hour, and the Department organises at least eight of them per year. Attending the seminars is optional.
  • Research stays. Doctoral candidates will be able to participate in research stays at other national or foreign research centres in order to educate themselves in specific areas or to carry out research work in order to be awarded the International Doctorate mention. Research stays tend to require a minimum stay of three months and are often optional, but they are required for students who wish to be awarded the International Doctorate mention.
  • Attending conferences. Candidates will be able to attend national and international conferences both to give their own presentations and to network with other researchers. International conferences often schedule intensive courses on topics that are of specific interest to doctoral candidates.
  • External courses. The Academic Committee communicates to candidates information regarding these intensive courses that are on specific topics that could be of interest to those in the degree programme. For example, the committee reports information on the courses offered by the Barcelona Graduate School of Mathematics (BSGMath). In general, they are optional courses that last for one week
  • UPC courses. The Academic Committee will inform doctoral candidates about courses of interest to scientific research, such as those organised by the UPC libraries (bibliographic research; training in information skills; learning to identify when and why information is needed; where to find information and how to assess it, use it and communicate it ethically) and the Institute of Education Sciences (improving language and communication skills; and acquiring the set of knowledge, abilities and attitudes needed to interpret and produce messages and communicate effectively in various contexts). In general, these are one- or two-day optional courses.

Procedure for assignment of tutor and thesis director

The academic committee of the doctoral programme assigns a thesis supervisor to each doctoral candidate when they are admitted or enrol for the first time, taking account of the thesis supervision commitment referred to in the admission decision.

The thesis supervisor will ensure that training activities carried out by the doctoral candidate are coherent and suitable, and that the topic of the candidate’s doctoral thesis will have an impact and make a novel contribution to knowledge in the relevant field. The thesis supervisor will also guide the doctoral candidate in planning the thesis and, if necessary, tailoring it to any other projects or activities undertaken. The thesis supervisor will generally be a UPC professor or researcher who holds a doctoral degree and has documented research experience. This includes PhD-holding staff at associated schools (as determined by the Governing Council) and UPC-affiliated research institutes (in accordance with corresponding collaboration and affiliation agreements). When thesis supervisors are UPC staff members, they also act as the doctoral candidate’s tutor.

PhD holders who do not meet these criteria (as a result of their contractual relationship or the nature of the institution to which they are attached) must be approved by the UPC Doctoral School's Standing Committee in order to participate in a doctoral programme as researchers with documented research experience.

The academic committee of the doctoral programme may approve the appointment of a PhD-holding expert who is not a UPC staff member as a candidate’s thesis supervisor. In such cases, the prior authorisation of the UPC Doctoral School's Standing Committee is required. A UPC staff member who holds a doctoral degree and has documented research experience must also be proposed to act as a co-supervisor, or as the doctoral candidate’s tutor if one has not been assigned.

A thesis supervisor may step down from this role if there are justified reasons (recognised as valid by the committee) for doing so. If this occurs, the academic committee of the doctoral programme will assign the doctoral candidate a new thesis supervisor.

Provided there are justified reasons for doing so, and after hearing any relevant input from the doctoral candidate, the academic committee of the doctoral programme may assign a new thesis supervisor at any time during the period of doctoral study.

If there are academic reasons for doing so (an interdisciplinary topic, joint or international programmes, etc.) and the academic committee of the programme gives its approval, an additional thesis supervisor may be assigned. Supervisors and co-supervisors have the same responsibilities and academic recognition.

The maximum number of supervisors of a doctoral thesis is two: a supervisor and a co-supervisor.

For theses carried out under a cotutelle agreement or as part of an Industrial Doctorate, if necessary and if the agreement foresees it this maximum number of supervisors may not apply. This notwithstanding, the maximum number of supervisors belonging to the UPC is two.

More information at the PhD theses section

Permanence

The academic committee of the programme may authorise an extension of up to one year for full-time doctoral candidates who have not applied to deposit their thesis by the end of the three-year period of study, in the terms outlined in the Academic Regulations for Doctoral Studies of the Universitat Politècnica de Catalunya. In the case of part-time candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of the doctoral programme.

A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

International Mention

The doctoral degree certificate may include International Doctorate mention. In this case, the doctoral candidate must meet the following requirements:

a) During the period of study leading to the award of the doctoral degree, the doctoral candidate must have spent at least three months at a respected higher education institution or research centre outside Spain to complete courses or do research work. The stays and activities carried out must be endorsed by the thesis supervisor and authorised by the academic committee of the programme. The candidate must provide a certifying document issued by the person responsible for the research group of the body or bodies where the stay or activity was completed. This information will be added to the doctoral student’s activity report.
b) Part of the thesis (at least the summary and conclusions) must be written and presented in one of the languages commonly used for science communication in the relevant field of knowledge, which must not be an official language of Spain. This rule does not apply to stays and reports in Spanish or to experts from Spanish-speaking countries.
c) At least two PhD-holding experts belonging to a higher education institution or research centre outside Spain must have issued officially certified reports on the thesis.
d) The thesis examination committee must have included at least one PhD-holding expert from a higher education or research institution outside Spain who was not responsible for the candidate’s stay abroad (point a) above).
e) The thesis defence must have taken place on UPC premises or, in the case of joint programmes, at the location specified in the collaboration agreement.

Learning resources

The doctoral programme was given the Quality Award MCD2003-00128 from 2003 to 2009. In 2011 it was given the Excellence Award MEE2011-0384, which was renewed in 2012 and 2013. This gives the programme access to calls for mobility aid for professors (visiting professors who give classes in the programme), for thesis panels recognised across Europe and for students to achieve the European mention. In the recent 2011 call for mobility, this doctoral programme was awarded all of the aid that it requested: 3 for foreign professors to take part on panels for the European mention, 2 for visiting professors to teach classes in the programme’s Summer School and 3 for students to perform stays and earn the European mention. When the budget has allowed, the programme has also offered travel packages to help with the travel costs of attending conferences and completing stays. In 2011 a call was held and it ended up benefiting ten candidates in the programme.

Doctoral Theses

List of authorized thesis for defense

No hi ha registres per mostrar.

Last update: 16/10/2021 04:47:07.

List of lodged theses

No hi ha registres per mostrar.

Last update: 16/10/2021 04:30:36.

List of defended theses by year

  • ABELLA GARCIA, AINOA: Ingeniería Kansei en el campo del diseño: Una aproximación desde la ingeniería estadística aplicada a la percepción de los materiales.
    Author: ABELLA GARCIA, AINOA
    Thesis link: http://hdl.handle.net/10803/671760
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 19/01/2021
    Thesis director: MARCO ALMAGRO, LLUÍS | CLÈRIES GARCÍA, LAURA

    Committee:
         PRESIDENT: TORT-MARTORELL LLABRES, JAVIER
         SECRETARI: PEREDA BAÑOS, ALEXANDRE
         VOCAL: ROGNIOLI, VALENTINA
    Thesis abstract: The objective of the current doctoral thesis is the theoretical and experimental application of Kansei engineering in the field of design. Kansei engineering is a method that aims to develop or improve products, services and/or experiences by translating the emotional needs of users into parameters or characteristics of the design itself. In the present investigation, Kansei engineering uses as a base statistical engineering, since the most appropriate statistical and analytical methods are used to provide value, validity and rigor. The first contribution of the thesis is the creation of a Theoretical Framework of the emotional dimensions ¿sensation, perception, emotion, feeling and affect¿ as a result of a systematic review in two scientific databases. The objective is to promote the integration of emotions during any stage of the creative process; therefore, a common taxonomy is developed with definitions, theories and measurement tools for each of the emotional dimensions. In addition, three figures -Emotional Path, Emotional Systematization, and Preliminary Mapping of Design and Emotion- have been created in order to synthesize all information and to be used as visual guides. Once the state of the art is developed, the research has focused on two different topics related to Kansei engineering and its updating in the 21st-century context: communication channels and measurement tools. For this, the materials are selected as the scope of application. Regarding Communication Channels, two case studies are carried out ¿pilot test and experiment¿ in order to understand how user perception may vary depending on the interaction and the amount of information received. In the experimental design, three materials are presented through three different communication channels to evaluate their sensory properties. In some cases, people evaluate the same material for each channel and in others, each participant evaluates a different material per channel, through the Perception Evaluation Kit. The results indicate that in some communication channels there are significant differences regarding the perception of sensory properties. Responses level in both experiments is very similar, that is to say, the order of presentation for the communication channels does not seem to influence perception. In addition, channel 3 is the preferred one regardless of the predominant learning style. The contribution concerning the Measurement Tools chapter is to apply a heterogeneous method- ology that uses self-report and physiological tools to assess the perception of recycled materials, as well as the environmental attitude and consumption habits of the participants. The purpose is to detect if there is any relationship between the information that is extracted from the two types of tools. Electrodermal activity, hedonic appreciation, and evaluations of sensory properties have reported significant differences between materials. In contrast, electromyography, the precision in the identification and the relationship between consumption habits and environmental attitude have not observed significant effects or interactions in the data. Finally, the Statistics and Design section reflects on the relationship and union of the two disciplines and presents two points of confluence between these ¿statistical engineering and Data-Driven Design¿. The contribution of this chapter is the Data Collection Toolkit, a set of methodologies, resources and tools for designers. The objective is to promote better practice in research through design so that the experiment has greater validity and statistical base.

  • ALARCÓN SOTO, YOVANINNA DEL CARMEN: Data Science in HIV. Statistical approaches for therapeutic HIV vaccine data
    Author: ALARCÓN SOTO, YOVANINNA DEL CARMEN
    Thesis link: http://hdl.handle.net/10803/672179
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 30/06/2021
    Thesis director: LANGOHR, KLAUS GERHARD | GÓMEZ MELIS, GUADALUPE

    Committee:
         PRESIDENT: SÁNCHEZ PLA, ÀLEX
         SECRETARI: CALLE ROSINGANA, MARIA LUZ
         VOCAL: BRANDER, CHRISTIAN
         VOCAL NO PRESENCIAL: RODRIGUEZ-GIRONDO, MAR
         VOCAL NO PRESENCIAL: KHAN, MD HASINUR RAHAMAN
    Thesis abstract: The present dissertation contributes to Data Science in the Human lmmunodeficiency Virus (HIV) field, addressing specific issues related to the modelling of data coming from three different clinical trials based on the development of HIV therapeutic vaccines. The biological questions that these studies raise are identify biomarkers that predict HIV viral rebound; explain the time to viral rebound as a consequence of antiretroviral therapy (cART) stop considering the variability of data sources; and find the relationship between spot size and spot count from Enzyme-Linked lmmunosorbent spot (ELISpot) assays data. To handle these problems from a statistical perspective, in this thesis we: adapt the elastic net penalization to the accelerated failure time model with interval-censored data, fit a mixed effects Cox model with interval-censored data, and improve statistical methodologies to deal with ELISpot assays data and a binary response, respectively.In order to address the variable selection among a vast number of predictors to explain the time to viral rebound, we consideran elastic-net penalization approach within the accelerated failure time model. Elastic-net regularization considers a possible correlation structure among covariates, which is the case of messenger RNA (mRNA) data. For this purpose, we derive the expression of the penalized log-likelihood function for the special case of the interval-censored response (time to viral rebound).Following, we maximize this function using distinct approaches and optimization methods. Finally, we apply these approaches to the Dendritic Cell-Based Vaccine clinical trial, and we discuss different numerical methods for the maximization of the log-likelihood.To explain the time to viral rebound in the context of another study with data from several clinical trials, we use a mixed effects Cox model to account for the data heterogeneity. This model allows us to handle the heterogeneity between the Analytical Treatment lnterruption (ATI) studies and the fact that the patients had different number of ATI episodes. Our method proposes the use of a multiple imputation approach based on a truncated Weibull distribution to replace the interval-censored by imputed survival times. Our simulation studies show that our method has desirable properties in terms of accuracy and precision of the estimators of the fixed effects parameters. Concerning the clinical results, the higher the pre-cART VL, the larger the instantaneous risk of a viral rebound. Our method could be applied to any data set that presents both interval-censored survival times and a grouped data structure that could be treated as a random effect.We finally address two different issues that have arisen when analyzing the BCN02 clinical trial. On one hand, we fit univariate log-binomial models as an alternative to the usual logistic regression. On the other hand, we use one/two- way unbalanced ANOVA to analyze the variability of the main outcomes from the ELISpot assays across time. Although these assays are widely used in the context of the HIV study, the relationship between spot size or spot count and other variables has not been studied until now.In this thesis, we propose, develop, and apply different statistical approaches that contributes to answer diverse clinical questions that are relevant in several clinical trials. We have tried to highlight that to be able to choose the appropriate methodology, make correct clinical interpretations and contribute to a meaningful scientific progress, a narrow collaboration with scientists is necessary. We expect that the original results from this thesis will contribute to the path of development and evaluation of a therapeutic HIV vaccine, helping to improve the way of living of HIV-infected people.

  • ARJONA MARTÍNEZ, JAMIE: Designing smart ITS services through innovative data analysis modeling
    Author: ARJONA MARTÍNEZ, JAMIE
    Thesis link: http://hdl.handle.net/10803/671615
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 11/02/2021
    Thesis director: CASANOVAS GARCIA, JOSE | LINARES HERREROS, MARÍA PAZ

    Committee:
         PRESIDENT: VLAHOGIANNI, ELENI
         SECRETARI: MONTERO MERCADÉ, LIDIA
         VOCAL: PIERA EROLES, MIGUEL ANGEL
    Thesis abstract: Nowadays, one of the most important problems in urban areas concerns traffic congestion. This, in turn, has an impact on the economy, nature, human health, city architecture, and many other facets of life. Part of the vehicular traffic in cities is caused by parking space availability. The drivers of private vehicles usually want to leave their vehicles as close as possible to their destination. However, the parking slots are limited and may not be enough to sustain the demand, especially when the destination pertains to an attractive area. Thus, individuals looking for a place to park their vehicles contribute to increasing traffic flow density on roads where the parking demand cannot be satisfied.An Internet of Things (IoT) approach allows us to know the state of the parking system (availability of the parking slots) in real time through wireless networks of sensor devices. An intelligent treatment of this data could generate forecasted information that may be useful in improving management of on-street parking, thus having a notable effect on urban traffic. Smart parking systems first appeared in 2015, with IoT platforms in Santander, San Francisco and Melbourne. That is the year when those cities began to provide on-street real-time parking data in order to offer new services to their citizens. One of the most interesting services that these kinds of platforms can offer is parking availability forecasting, for which the first works in this field studied the temporal and spatial correlations of parking occupancy to support short-term forecasts (no more than 30 minutes). Those short-term forecasts are not useful at all to the end user of this service; thus, the necessary prediction intervals should be at the order of magnitude of hours.In this context, this thesis focuses on using parking and other sources of data to characterize and model different parking systems. The methodology used employs novel techniques for providing real-time forecasts of parking availability based on data from sensors with certain inaccuracies due to their mechanical nature. The models are developed from four different methodologies: ARIMA, multilayer perceptron (MLP), long-short term memory (LSTM) and gated recurrent unit (GRU). The first has been the standard approach to forecasting in the ITS literature, while the latter ones have proven to be the best neural network (NN) architectures for solving a wide set of sequential data problems, such as those presented in this work. As far as we know, LSTM and GRU methods (recurrent neural network approaches) have been used recently with good results in traffic forecasting, but not for parking. In addition, we propose using exogenous data such as weather conditions and calendar effects, thereby converting the problem from univariate to multivariate. It is shown here how NN methods naturally handle the increased complexity in the problem. The reason for using exogenous variables is that they can offer relevant information that cannot be inferred from the sensor measurements.The proposed methods have been intensively compared by creating parking models for parking sectors in five cities around the world. The results have been analysed in order to identify and provide exhaustive guidelines and insights into the inner mechanisms of parking systems while also ascertaining how the idiosyncrasies of each method are reflected in the model forecasts.When comparing the results according to their disciplines of origin (ARIMA from statistics and NN methods from machine learning), neither of the proposed methodologies is clearly better than the other, as both can provide forecasts with low error but by different means. ARIMA has shown lower error rates in small-sized sectors where the more recent status of the parking system is more relevant; while the NN methods are more capable of providing forecasts for large-sized sectors where patterns are dependent on long time horizons.

  • CORTÉS MARTÍNEZ, JORDI: Constant effect in randomized clinical trials with quantitative outcome. A methodological review.
    Author: CORTÉS MARTÍNEZ, JORDI
    Thesis link: http://hdl.handle.net/10803/672153
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 27/05/2021
    Thesis director: COBO VALERI, ERIK | GONZÁLEZ ALASTRUE, JOSÉ ANTONIO

    Committee:
         PRESIDENT: SORRIBAS TELLO, ALBERTO
         SECRETARI: PEREZ ALVAREZ, NURIA
         VOCAL NO PRESENCIAL: CATALÁ LÓPEZ, FERRAN
    Thesis abstract: The past decade has seen continuous growth in so-called precision medicine, due especially to great advances in the genetics. While applying it presently goes unquestioned in certain fields like oncology, it is more controversia! in other medical specialties that usually practice it. Precision medicine is justified under two assumptions. First, it must be more cost-effective than the universal standard of care, as a world with limited resources requires that an individual treatment's benefits be inversely related to the number of people on whom it is effective. Second, and most importantly, the intervention under study should actually show different responses among patients or subgroups of them, which this work focuses on. Strictly speaking, the fundamental problem of causal inference makes the latter requirement impossible to prove, because a conventional trial observes patient outcome only under a single treatment. However, the variability of a continuous outcomeprovides important information about the presence (or absence) of a constant treatment effect, of which a direct consequence is that outcome variance remains unchanged under different treatment regimens. Thus, homoscedasticity may be a useful tool for testing the hypothesis of a homogeneous effect.Our work here conducts a methodological review of randomized clinical triaIs (RCT) with two ·treatment arms and a quantitative primary end point. Among other variables, we collected the outcome and baseline variances for each treatment group with two purposes: to quantify the outcome variance ratio between the experimental and reference groups; and to estimate the proportion of studies with variance discrepancies large enough to be attributed to a heterogeneous treatment effect among participants. This variance comparison was carried out between treatment arms (independent by randomization) and overtime, contrasting the end-of-study and baseline outcomes.The Medline database provided us 208 randomized clinical trials fulfilling the eligibility criteria and published in the years 2004, 2007, 2010 and 2013. A random effects model was used to estimate the variance ratios (experimental to reference), of which the mean was 0.89, 95% CI from 0,81 to 0,97. Thus, contrary to popular belief, the point estimate indicate that the experimental treatments reduce the variability of patient response by 11%. The experimental group's variance ratio (final to baseline) in the comparison over time was 0,86, 95% CI from 0,76 to 0,98, meaning lower variability at the end of the study. This analysis provides no statistical evidence to justify ruling out a constant intervention effect on our target population in four out of five studies (80,3%, 95% CI from 74,1 to 85,3%). This percentage barely changed in four sensitivity analyses with percentage point estimates ranging from 79,8 to 90,0%. Among the studies that we found evidence of a non-constant intervention effect, the experimental group showed 7,2% and 12,5%, respectively, greater and lower outcome variance than the reference arm. The high number of studies with lower variability in the experimental group can be explained by the ceiling and floor effects of sorne measurement scales, which generally group patients at one of the scale boundaries in cases of highly effective interventions.This work aims to show that comparing variances provides evidence on whether ar not precision medicine is a sensible choice for a specific treatment. When both arms have equal variances, a simple interpretation is that the treatment effect is constant. lf true, searching for any predictors of a differential response is futile. This means that the average treatment effect can be viewed as an individual treatment effect, which justifies using a single clinical guideline for all patients fulfilling the eligibility criteria. This in turn supports using parallel controlled trials to guide decision-making in these circumstances.

  • DE LA LAMA ZUBIRÁN, PAULA: Solving large-scale two-stage stochastic optimization problems by specialized interior point methods.
    Author: DE LA LAMA ZUBIRÁN, PAULA
    Thesis link: http://hdl.handle.net/10803/671488
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 13/01/2021
    Thesis director: CASTRO PÉREZ, JORDI

    Committee:
         PRESIDENT: ESCUDERO BUENO, LAUREANO F.
         SECRETARI: HEREDIA CERVERA, FRANCISCO JAVIER
         VOCAL: PLA ARAGONÉS, LLUÍS
    Thesis abstract: Two-stage stochastic optimization models give rise to very large linear problems (LP). Several approaches have been devised for efficiently solving them, among which are interior-point methods (IPM). However, using IPM, the linking columns that are associated with first-stage decisions cause excessive fill-ins for the solutions of the normal equations, thus making the procedure computationally expensive. We have taken a step forward on the road to a better solution by reformulating the LP through a variable splitting technique which has significantly reduced the solution time.This work presents a specialized IPM that first applies variable splitting, then exploits the structure of the deterministic equivalent formulation of the stochastic problem. The specialized IPM works with an algorithm that combines Cholesky factorization and preconditioned conjugate gradients for solving the normal equations when computing the Newton direction for stochastic optimization problems in which the first-stages variables are large enough. Our specialized approach outperforms standard IPM.This work provides the computational results of two stochastic problems from the literature: (1) a supply chain system and (2) capacity expansion in an electric system. Both linear and quadratic formulations were used to obtain instances of up to 39 million variables and six million constraints. When used in these applications, the computational results show that our procedure is more efficient than alternative state-of-the-art IP implementations (e.g., CPLEX) and other specialized methods for stochastic optimization.

  • DUARTE LÓPEZ, ARIEL: Zipf extensions and their applications for modeling the degree sequences of real networks
    Author: DUARTE LÓPEZ, ARIEL
    Thesis link: http://hdl.handle.net/10803/671705
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 05/02/2021
    Thesis director: PÉREZ CASANY, MARTA

    Committee:
         PRESIDENT: GINEBRA MOLINS, JOSEP
         SECRETARI: DAUNIS I ESTADELLA, JOSEP
         VOCAL: GÓMEZ DÉNIZ, EMILIO
    Thesis abstract: The Zipf distribution, also known as discrete Pareto distribution, attracts considerable attention because it helps describe skewed data from many natural as well as man-made systems. Under the Zipf distribution, the frequency of a given value is a power function of its size. Consequently, when plotting the frequencies versus the size in log-log scale for data following this distribution, one obtains a straight line. Nevertheless, for many data sets the linearity is only observed in the tail and when this happens, the Zipf is only adjusted for values larger than a given threshold. This procedure implies a loss of information, and unless one is only interested in the tail of the distribution, the need to have access to more flexible alternatives distributions is evidenced.The work conducted in this thesis revolves around four bi-parametric extensions of the Zipf distribution. The first two belong to the class of Random Stopped Extreme distributions. The third extension is the result of applying the concept of Poisson-Stopped-Sum to the Zipf distribution and, the last one, is obtained by including an additional parameter to the probability generating function of the Zipf. An interesting characteristic of three of the models presented is that they allow for a parameter interpretation that gives some insights about the mechanism that generates the data. In order to analyze the performance of these models, we have fitted the degree sequences of real networks from different areas as: social networks, protein interaction networks or collaboration networks. The fits obtained have been compared with those obtained with other bi-parametric models such as: the Zipf-Mandelbrot, the discrete Weibull or the negative binomial. To facilitate the use of the models presented, they have been implemented in the zipfextR package available in the Comprehensive R Archive Network.

  • MOLINS LLEONART, EDUARD: Proposing some innovative study design features to regulatory agencies (EMA and FDA) in bioequivalence trials. Reference Scaled Average Bioequivalence, and Two-Stage Adaptive Designs
    Author: MOLINS LLEONART, EDUARD
    Thesis link: http://hdl.handle.net/10803/672170
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 28/05/2021
    Thesis director: OCAÑA REBULL, JORDI

    Committee:
         PRESIDENT: GÓMEZ MELIS, GUADALUPE
         SECRETARI: DEL CASTILLO FRANQUET, JOAN
         VOCAL NO PRESENCIAL: CARRASCO JORDAN, JOSEP LLUÍS
    Thesis abstract: In applications for generic medicinal products the concept of bioequivalence is fundamental. Two medicinal products, i.e. a test and a reference drugs containing the same active substance are considered bioequivalent if their bioavailability (rate and extent of absorption of an active substance that is absorbed from a drug product and becomes available at the site of action) after the administration of both products produce a similar therapeutic effect. The assessment of bioequivalence is based upon 90% confidence intervals for the ratio of the population geometric means (test/reference) for the parameters under consideration which should be contained within the limits 80%-125%. It is recommended using randomized, two-period, two-sequence, single dose crossover designs (2x2 crossover designs)The number of subjects to be included should be based on an appropriate sample size calculation, though the number of evaluable subjects should not be less than 12. Sometimes, there are drugs whose rate and extent of absorption is highly variable dose to dose within the same subject. The main problem with highly variable drugs is that to declare bioequivalence it requires a study with an unacceptably larger sample size. In this case, the usual approach to determine bioequivalence is `Reference Scaled Average Bioequivalence¿ (RSABE), which is based on expanding the limits as a function of the within-subject variability in the reference formulation. But, using 2x2 crossover designs, it is not possible to estimate separately the test and reference variabilities, and thus it requires using more complex designs like replicated or semi-replicated crossover designs.On the other hand, regulations also allow using common 2×2 crossover designs based on two-stage adaptive designs (TSD) with sample size re-estimation at an interim analysis. At an interim look (stage 1), if average bioequivalence is not declared with an initial sample size, they allow to increase it based on the intra-subject estimated variability and to enroll additional subjects at a stage 2, or to stop for futility in case of poor likelihood of bioequivalence. This is crucial because both parameters must clearly be pre-specified in protocols, and the strategy agreed with regulatory agencies in advance with emphasis on controlling the overall type I error.Using Monte Carlo simulations, we show that RSABE and TSD methodologies achieve comparable statistical power, though the scaled method usually requires less sample size, but at the expense of each subject being exposed more times to the treatments. With an adequate initial sample size (not too low, e.g., 24 subjects), TSDs are a flexible and efficient option to consider: They have enough power (e.g., 80%) at the stage 1 for non-highly variable drugs and, if otherwise, they provide the opportunity to step up to a stage 2 that includes additional subjects.Based on TSDs, we also present an iterative method to adjust the significance levels at each stage which preserves the overall type I error for a wide set of scenarios which should include the true unknown variability value, and which provides a power of at least 80%. TSDs work particularly well for coefficients of variation below 0.3 which are especially useful due to the balance between the power and the percentage of studies proceeding to stage 2. We present an R package to adjust the significance levels at each stage in order to control the overall type I error.

  • MUÑOZ AGUIRRE, MANUEL: From RNA to histological images: linking the transcriptome with human phenotypes through statistical learning
    Author: MUÑOZ AGUIRRE, MANUEL
    Thesis link: http://hdl.handle.net/10803/672123
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Article-based thesis
    Reading date: 07/04/2021
    Thesis director: GUIGÓ SERRA, RODERIC | GRAFFELMAN, JAN

    Committee:
         PRESIDENT: VALENCIA HERRERA, ALFONSO
         SECRETARI: RADEVA, PETIA IVANOVA
         VOCAL NO PRESENCIAL: BUTTE, ATUL JANARDHAN
    Thesis abstract: Genomic datasets are fundamental to broaden our understanding of human biology in the context of health and disease. However, the high-dimensional nature of gene expression and other molecular traits poses a challenge when attempting to find associations of these data types with human phenotypes. To this end, this thesis relies on statistical learning tools to mitigate the curse of dimensionality and link the human transcriptome with phenotypes at different orders of complexity: from RNA, to computationally-inferred cell type enrichments, and finishing with histological images and their corresponding free-text descriptions. We make four specific contributions. First, we built computational models based on gene expression of post-mortem human tissues in order to derive estimates of post mortem interval. Second, we redefined the basic histological types of tissue classification based on five broad transcriptional programs which define major cell types: epithelial, endothelial, mesenchymal, neural, and blood. We generated computational estimates for the enrichment of these major cell types and validated them through the analysis of histological images and free-text pathology reports, finding that departures from normal cellular enrichment correlate with disease-associated histological phenotypes. Third, we characterized the landscape of human sex-differential gene expression, finding that effects are small but ubiquitous and tend to be tissue-specific, with some of these genes being involved in biological and molecular functions related to disease and clinical phenotypes. Fourth, we proposed an in-silico methodology to spatially deconvolute gene expression from matched sample pairs of whole slide histological images and bulk RNA-seq gene expression, with the goal of replicating the spatial transcriptomics experimental technology. Within this study, we also developed a software tool to effortlessly process whole slide histological images into tiles for machine learning applications.

  • ROS ROCA, XAVIER: Dynamic OD matrix estimation exploiting ICT traffic measurements.
    Author: ROS ROCA, XAVIER
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 07/10/2021
    Thesis director: MONTERO MERCADÉ, LIDIA | BARCELÓ BUGEDA BUGEDA, JAUME

    Committee:
         PRESIDENT: GARCÍA BENÍTEZ, FRANCISCO
         SECRETARI: CODINA SANCHO, ESTEVE
         VOCAL NO PRESENCIAL: OSORIO, CAROLINA
    Thesis abstract: During the last decades, urban mobility has become the main concern for city councils andtransportation operators. The main problem is the traffic congestion that easily appears inurban networks, producing negative economic impacts for the associated cost and, what isbecoming more relevant from the sustainability point of view. In this context, thetransportation operators and planners make use of traffic simulation models that assist theirstrategic decisions aiming at improving the mentioned problems.The dynamic OD matrices estimation problem is a crucial step in transportation modeling andsimulation because they contain the total number of vehicles that are circulating throughoutthe city, including their origins, destinations, and their departing time and describe theassociated mobility patterns in terms of trip distributions. As this information is not directlyobservable in reality, this problem has been widely studied and many different methodologieshave been proposed in order to obtain the suitable OD matrices that reflect the urban mobilityof the studied area. The common approach is to use the counting stations data sets toestimate, using a minimization problem, the OD matrices that produce them. This is called thebi-level optimization approach. However, the main problem of this approach is that it ismathematically underdetermined, because many different OD matrices can produce the sametraffic counts on certain links of the urban network, but presenting totally different tripdistributions that could not correspond to the socio-demographic structure originating them.In this thesis, we address the different studies measuring the structural similarity between theestimated OD matrix and the reliable OD matrices, which are the ground truth OD matrix insynthetic experiments or the historical OD matrix in the real ones.The appearance of new sources of traffic data from the growth of the information andcommunication technologies (ICT) appeals to the researchers to use it for reducing suchunderdetermination, adding it to the OD estimation problem. GPS devices are increasinglyused by vehicles and a huge volume of data is generated every day that, implicitly, containsinformation of the traffic state under real conditions. These data can be analyzed andprocessed in order to clean, filter and extract this information and can be then introduced intothe OD estimation problem. Most of the theoretical research since the ICT technologies areavailable assume implicitly or explicitly that GPS tracking data can be done through acontrolled collection process. However, in the practical world, GPS data are supplied bycompanies that use different data collection policies and constraints imposed by privacypolicies, which invalidate some of these theoretical hypotheses. One of the main researchaspects of this thesis is to investigate how these commercial data can be used for the ODestimation problem.However, the introduction of such information in the bi-level optimization problem is notdirect and many alternatives arise. This thesis proposes a data-driven estimation of thedynamic assignment matrix to introduce the GPS data information to an analytical model,reducing the underdetermination of the problem. Moreover, such estimation replaces thedynamic traffic assignment reducing also the computational effort of the OD estimationproblem.As this thesis results from the collaboration between the simulation software company PTVGroup and the Universitat Politècnica de Catalunya, all the experiments of this thesis havebeen carried out in PTV Visum and using the already existing products. Moreover, the resultshave been analyzed both from the computational performance and from the quality aspect.

  • SÁNCHEZ ESPIGARES, JOSE ANTONIO: Desarrollo de técnicas estadísticas basadas en computacion intensiva para el análisis de medidas repetidas.
    Author: SÁNCHEZ ESPIGARES, JOSE ANTONIO
    Thesis link: http://hdl.handle.net/10803/672384
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Article-based thesis
    Reading date: 09/04/2021
    Thesis director: OCAÑA REBULL, JORDI

    Committee:
         PRESIDENT: PUIG CASADO, PERE
         SECRETARI: PÉREZ CASANY, MARTA
         VOCAL: RÍOS ALCOLEA, MARTÍN
    Thesis abstract: This thesis includes contributions to statistical methodologies and practical applications in situations where data has been obtained as a result of repeated measures.The first block includes a first article where different resampling methods in mixed linear models are evaluated by simulation against deviations from the assumptions of symmetry and Gaussian kurtosis of the variance components. One of these methods constitutes our proposal, designed and implemented in R.The result of the previous simulations shows that the misspecifications induced by the simulation scenarios do not have the same properties if they affect random effects or residuals. Taking into account that both components of the variance tend to have different sample sizes, an exploration of the impact of the misspecification of the Gaussian distribution implemented in the simulation of scenarios is proposed, as a function of the sample size.The second article of this block proposes a visualization of the type II error in goodness-of-fit test to the normal distribution, where the alternatives considered correspond to unimodal distributions with different asymmetry and kurtosis. In this article, a mosaic visualization is proposed to assess the capability to reject the hypothesis of normality of the test, taking into account the type of misspecification considered and the sample size.The third article compares different normality tests based on the type II error represented in the previously designed mosaic. Considering as a set of alternative distributions those included in the unimodal parametric family included in the mosaic, the graphic representation obtained gives an idea of the ability of the tests to distinguish deviations from normality. It would be as an equivalent to the power curves obtained in tests with numerical parameter space.The fourth article presents the application of the goodness-of-fit test to the distribution that represents each mosaic cell for a specific sample and the representation of the p-value of the test according to a gray scale. This last article aims to reflect the set of distributions of the family considered to be compatible with the sample evaluated, as a result of the concurrent application of the set of tests associated with the mosaic cells.The second part of the thesis includes four publications resulting from the collaboration with Dr. Basem Aljoumani on applied topics of hydrology. The inclusion of these articles in this thesis is justified mainly by the statistical contributions to the analysis of hydrological data.The fifth article focuses on the extension of ARIMA models in the context of prediction of water content in the field, including intervention analysis (scheduled irrigation), atypical detection (rainfall) and transfer function (temperature information and water content to predict salinity).The sixth and seventh articles propose an extension of a classical deterministic model for the evaluation of salinity in the field to incorporate a stochastic component that allows the model to be adjusted to the data based on statistical criteria. The transformation of the model allows formulating it in a linear and Gaussian state space and applying the Kalman filter for its treatment. The difference between the two articles is based on the fact that in the first one the data is obtained in the field, while in the other one a laboratory experiment is performed.The eighth article analyzes data on the contents of contaminating metals on a roadside near a highway based on a series of covariates. Linear mixed additive models is the technique applied in this context.

  • SUPERCHI, CECILIA: Measuring review report quality in health research
    Author: SUPERCHI, CECILIA
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Change of supervisor + Temporary seizure
    Reading date: 21/01/2021
    Thesis director: GONZÁLEZ ALASTRUE, JOSÉ ANTONIO | BOUTRON, ISABELLE | HREN, DARKO

    Committee:
         PRESIDENT: PULJAK, LIVIA
         SECRETARI: FERNÁNDEZ MARTÍNEZ, DANIEL
         VOCAL: SELVA O\'CALLAGHAN, ALBERT
         VOCAL NO PRESENCIAL: GRIMALDO MORENO, FRANCISCO
         VOCAL NO PRESENCIAL: TER RIET, GERBEN
    Thesis abstract: Editorial peer review is the gateway to scientific publication. It was established to ensure that research papers were vetted by independent experts before they are published. Despite the importance of this process, its impact is still considered suboptimal and it needs to be improved. For this purpose, we need appropriate outcome measures, particularly a validated tool that clearly defines the quality of peer review reports. The final aim of the present PhD project was to develop and validate a new tool for assessing the quality of peer review reports in biomedical research. As the starting point for the development of a new tool, we performed a systematic review aimed to identify and describe the existing tools used to assess peer review report quality in biomedical research. We identified a total number of 24 tools: 23 scales and 1 checklist. None of the tools reported a definition of `quality¿. Only one described the scale development and 10 provided measures of validity and reliability. We classified the quality components of the 18 tools with more than one item into 9 main quality domains and 11 subdomains. Secondly, we formed a steering committee composed of five members with diverse expertise, which defined the quality of peer review reports. We then conducted an online survey intended for biomedical editors and authors to 1) determine if participants endorsed the proposed definition of peer review report quality; 2) identify the most important items to include in the tool, and 3) identify any missing items. Based on the participants¿ qualitative and quantitative answers, the steering committee modified the initially proposed definition of peer review report quality, reviewed all items, and ultimately, drafted and refined the final version of the tool. The ARCADIA (Assessment of Review reports with a Checklist Available to eDItors and Authors) tool was finally developed. The tool is a checklist that includes 14 items encompassed in 5 domains. Each item should be ticked as `Yes¿ or `No¿. However, an item could also be assessed as `Not applicable¿ (NA) depending on the reviewer¿s expertise, type of study, type of biomedical journal, availability of study data, materials and protocol.Finally, we tested the tool and evaluated its acceptability, reliability, and validity. ARCADIA was validated by a heterogeneous sample of both biomedical editors and authors using a sample of peer review reports from two different biomedical journals (i.e., The BMJ and BMJ Open). Field-testing demonstrated that the psychometric properties of ARCADIA are not entirely satisfactory. Results from the validation study should be used to inform a new version of the ARCADIA tool, which should be also validated in a real-editorial setting using peer review reports associated with manuscripts with different study designs and from different types of journals. This thesis reports the development and validation of ARCADIA, a new tool for assessing the quality of peer review reports in biomedical research. ARCADIA constitutes the first tool that has been systematically developed to assess the quality of peer review reports and its validation is based on a large and diverse sample of biomedical editors and authors. This tool could be used regularly by editors to evaluate the reviewers' work, and also as an outcome when evaluating interventions to improve the peer review process.

  • VILARÓ PACHECO, MARTA: Long-term impact of an editorial intervention to improve paper transparency and reproducibility
    Author: VILARÓ PACHECO, MARTA
    Thesis link: http://hdl.handle.net/10803/672345
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 15/07/2021
    Thesis director: COBO VALERI, ERIK | GONZÁLEZ ALASTRUE, JOSÉ ANTONIO

    Committee:
         PRESIDENT: GÓMEZ MELIS, GUADALUPE
         SECRETARI: RUÉ MONNÉ, MONTSERRAT
         VOCAL NO PRESENCIAL: CHAUVIN, ANTHONY
    Thesis abstract: This PhD thesis is concerned with evaluating the long-term effects of interventions in the editorial peer review process of a biomedical journal. The growing need to increase the value of research and avoid waste motivates this work. We focus on evaluating the long-term impact on the number of citations (NC) of articles introduced in trials, as this will allow us to evaluate the effects of adding either a methodological expert (statistician) or reporting guidelines (RG) during the peer review process.In 2004 and 2009, two randomized trials were published in Medicina Clínica (Elsevier, Barcelona), in which these interventions were added during the editorial process. They showed a slightly positive e¿ect on paper quality, as assessed by the Manuscript Quality Assessment Instrument (MQAI) of Goodman et al. In this work, we explore the effect on NC by collecting from Web of Science (WoS) the NC of each article that had been randomized in the two previous studies.This thesis presents different ways of analyzing count data involving time-to-event, first from a perspective of count data models and then from a perspective of recurrent events methods.Results show that including a methodological reviewer (for example, a senior statistician) who is dedicated to looking for missing RG items increases the NC by 40% (95% CI: 1% to 94%) when considering that citations are independent within articles, like count models. When considering the within-article correlation of citations using the frailty gamma model, we find that including a methodological reviewer during the peer-review process increases the possibility of receiving a citation by 41% (95% CI: 0% to 102%). Independently of the method used to analyze NC, and with different assumptions, the consistency of those results gives robustness to the findings.Therefore, as measured by the NC, with this work we show that randomized studies of using interventions in the peer review process to improve scientific impact are feasible. Our proof of concept study opens the door for the development of confirmatory trials.

Last update: 16/10/2021 05:11:51.

Theses related publications

AUTHOR:ARJONA MARTÍNEZ, JAMIE
Title:Design smart its services through innovative data analsys modeling
Reading date:11/02/2021
Director:CASANOVAS GARCIA, JOSE
Co-director:LINARES HERREROS, MARÍA PAZ
Mention:
RELATED PUBLICATIONS
Arjona, J. (2018). Designig smart ITS services through innovative data analysis modeling.

Vazquez, J. (2019). Traffic Forecasting in Smart Cities.

Gardella, R. (2019). Travel time forecasting using probe vehicle data on freeways.

Arjona, J.; Linares, M. P.; Casanovas, J.; Vazquez, J. (2020). Improving Parking Availability Information Using Deep Learning Techniques. - Transportation research procedia, ISSN: 2352-1457 (JCR Impact Factor-2017: 0.301; Quartil: )

Vazquez, J.; Arjona, J.; Linares, M. P.; Casanovas, J. (2020). A Comparison of Deep Learning Methods for Urban Traffic Forecasting using Floating Car Data. - Transportation research procedia, ISSN: 2352-1457 (JCR Impact Factor-2017: 0.301; Quartil: )

Arjona, J.; Linares, M. P.; Casanovas, J. (2020). Characterizing parking systems from sensor data through a data-driven approach. - Transportation letters: the international journal of transportation research, ISSN: 1942-7867 (JCR Impact Factor-2019: 1.84; Quartil: Q3)

Vazquez, J.; Arjona, J.; Linares, M. P.; Casanovas, J. (2019). A comparison of deep learning methods for urban traffic forecasting using floating car data.

Arjona, J.; Linares, M. P.; Casanovas, J.; Vazquez, J. (2019). Improving parking availability information using deep learning techniques.

Arjona, J.; Linares, M. P.; Casanovas, J. (2019). A deep learning approach to real-time parking availability prediction for smart cities.

AUTHOR:DUARTE LÓPEZ, ARIEL
Title:Zipf extensions and their applications for modeling the degree sequences of real networks
Reading date:05/02/2021
Director:PÉREZ CASANY, MARTA
Mention:No
RELATED PUBLICATIONS
Duarte, A. (2018). Zipf Extesions and their Applications for Modeling the Degree sequences of Real Networks..

Garriga, A. (2019). Shockwave damping on freeways using magnetometers and probe vehicle data.

Ye, Wangyang (2019). Wind pattern analysis applied to Tokyo 2020 Olympic Games (II).

Schulze, S.; Ramšak , Ž.; Hoang , Y.; Zdravevski , E.; Pfeil, J.; Duarte, A.; Baier, U.; Zagoršcak, M. (2018). Proceedings of the “Think Tank Hackathon’’, Big Data Training School for Life Sciences Follow-up, Ljubljana 6th – 7th February 2018. - EMBnet.journal, ISSN: 2226-6089

Hoang , Y.; Pfeil, J.; Zagoršcak, M.; Zdravevski , E.; Ramšak , Ž.; Schulze, S.; Papageorgiou, K.; Duarte, A.; Perez-Casany, M. (2019). The CHARME "Advanced Big Data Training School for Life Sciences": an example of good practices for training on current bioinformatics challenges. - EMBnet.journal, ISSN: 2226-6089

Duarte, A.; Perez-Casany, M.; Valero, J. (2020). The Zipf–Poisson-stopped-sum distribution with an application for modeling the degree sequence of social networks. - Computational statistics and data analysis, ISSN: 0167-9473 (JCR Impact Factor-2018: 1.323; Quartil: Q2)

Duarte, A.; Perez-Casany, M. (2018). Power law extensions suitable to model the degree distribution of real networks.

Duarte, A.; Perez-Casany, M. (2018). A natural power-law alternative useful to estimate the number of isolated nodes.

Duarte, A.; Ramšak , Ž.; Perez-Casany, M. (2018). The Zipf-PE distribution. An alternative distribution for modeling the degree sequence of real networks.

AUTHOR:SUPERCHI, CECILIA
Title:Measuring review report quality in health research
Reading date:21/01/2021
Director:GONZÁLEZ ALASTRUE, JOSÉ ANTONIO
Co-director:BOUTRON, ISABELLE
Co-director:HREN, DARKO
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Superchi, C.; Gonzalez, J.; Solà, I.; Cobo, E.; Hren, D.; Boutron, I. (2019). Tools used to assess the quality of peer review reports: a methodological systematic review. - BMC medical research methodology, ISSN: 1471-2288 (JCR Impact Factor-2019: 3.031; Quartil: Q1)

Vo, T.; Superchi, C.; Boutron, I.; Vansteelandt, S. (2020). The conduct and reporting of mediation analysis in recently published randomized controlled trials: results from a methodological systematic review. - Journal of clinical epidemiology, ISSN: 0895-4356 (JCR Impact Factor-2018: 4.65; Quartil: Q1)

Superchi, C.; Hren, D.; Blanco, D.; Rius, R.; Recchioni, A.; Boutron, I.; Gonzalez, J. (2020). Development of ARCADIA: a tool for assessing the quality of peer-review reports in biomedical research. - BMJ Open, ISSN: 2044-6055 (JCR Impact Factor-2018: 2.376; Quartil: Q2)

Superchi, C.; Gonzalez, J.; Cobo, E.; Hren, D.; Boutron, I. (2018). A METHODOLOGICAL SYSTEMATIC REVIEW OF TOOLS USED TO ASSESS THE QUALITY OF PEER REVIEW REPORTS.

AUTHOR:ABELLA GARCIA, AINOA
Title:Ingeniería Kansei en el campo del diseño: Una aproximación desde la ingeniería estadística aplicada a la percepción de los materiales.
Reading date:19/01/2021
Director:MARCO ALMAGRO, LLUÍS
Co-director:CLÈRIES GARCÍA, LAURA
Mention:No
RELATED PUBLICATIONS
Abella, A. (2018). Enginyeria Kansei en el camp del disseny: una aproximació des de l'enginyeria estadística.

Abella, A.; Araya, M.; Clèries, L.; Marco-Almagro, L. (2019). Perception evaluation kit: a case study with materials. - International Journal of Design Education, ISSN: 2325-1298 (JCR Impact Factor-2019: 0.103; Quartil: Q3)

Abella, A.; Clèries, L.; Marco-Almagro, L. (2019). Mapeo preliminar del diseño y la emoción: convergencias para la conciencia social y ambiental. - Academia XXII, ISSN: 2007-252X (JCR Impact Factor-2018: 0.0; Quartil: )

Abella, A.; Clèries, L.; Marco-Almagro, L. (2020). Framework of emotional dimensions: definitions, theories, and measuring tools for design. - The International Journal of Design Management and Professional Practice, ISSN: 2325-1638

AUTHOR:BOFILL ROIG, MARTA
Title:Statistical methods and software for clinical trials with binary and survival endpoints. Efficiency, sample size and two-sample comparison
Reading date:22/12/2020
Director:GÓMEZ MELIS, GUADALUPE
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Bofill, M. (2017). Statistical methods for the design of clinical trials accounting for primary binary endpoints.

Bofill, M.; Gómez Melis, Guadalupe (2018). Selection of composite binary endpoints in clinical trials. - Biometrical journal, ISSN: 0323-3847 (JCR Impact Factor-2018: 1.255; Quartil: Q2)

Cacheiro, P.; Lorenzo, A.; Lazaro, E.; Alvares, D.; Barrio, I.; Bofill, M.; Branco, M.; Gomez, M.; Vilor, N. (2018). Reproducibility, visibility and diversity: current trends in biostatistics viewed by young researchers. - BEIO, Boletín de Estadística e Investigación Operativa, ISSN: 1889-3805 (JCR Impact Factor-2018: 0.115; Quartil: Q4)

Bofill, M.; Gómez Melis, Guadalupe (2019). A new approach for sizing trials with composite binary endpoints using anticipated marginal values and accounting for the correlation between components. - Statistics in medicine, ISSN: 0277-6715 (JCR Impact Factor-2019: 1.783; Quartil: Q2)

Bofill, M.; Cortes, J.; Gómez Melis, Guadalupe (2020). Decision tool and Sample Size Calculator for composite endpoints. - ArXiv, ISSN: 2331-8422

Gómez Melis, Guadalupe; Gomez, M.; Bofill, M. (2016). Planning clinical trials with CompARE.

Bofill, M.; Gómez Melis, Guadalupe (2017). Sample size determination using composite binary endpoints.

Bofill, M.; Gómez Melis, Guadalupe (2017). Clinical trial designs with multiple binary endpoints.

Bofill, M.; Gómez Melis, Guadalupe (2017). The anticipated odds ratios to decide the choice of a primary binary endpoint.

Bofill, M.; Gómez Melis, Guadalupe (2017). Sample size derivation for binary composite endpoints.

Bofill, M.; Jiménez, J. (2018). Facing the challenges in clinical trials.

Cortes, J.; Bofill, M.; Gómez Melis, Guadalupe (2018). Sample size using CompARE.

Cortes, J.; Bofill, M.; Gómez Melis, Guadalupe (2018). CompARE: sample size calculation for Time-To-Event composite endpoints.

Bofill, M.; Gómez Melis, Guadalupe (2018). Sample size derivation for composite binary endpoints accounting for departures of the anticipated values.

Bofill, M.; Gómez Melis, Guadalupe (2019). Binary and survival joint test.

Cortes, J.; Bofill, M.; Langohr, K.; Gómez Melis, Guadalupe (2019). Challenges and opportunies for biostatisticians in a multidisciplinary team: Are we data scientist?.

Gómez Melis, Guadalupe; Cortes, J.; Bofill, M. (2019). CompARE: a web app to study Composite Endpoints.

AUTHOR:BLANCO DE TENA-DÁVILA, DAVID
Title:Assessing interventions to improve adherence to reporting guidelines in biomedical research.
Reading date:22/06/2020
Director:BOUTRON, ISABELLE
Director:COBO VALERI, ERIK
Director:KIRKHAM, JAMIE J.
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Blanco, D. (2017). Assessing interventions to improve adherence to reporting guidelines in health research.

Blanco, D.; Kirkham, J.; Altman, D.; Moher, D.; Boutron, I.; Cobo, E. (2017). Interventions to improve adherence to reporting guidelines in health research: a scoping review protocol. - BMJ Open, ISSN: 2044-6055 (JCR Impact Factor-2017: 2.413; Quartil: Q2)

Blanco, D.; Biganne, A.; Cobo, E. (2018). Are CONSORT checklists submitted by authors adequately reflecting what information is actually reported in published papers?. - Trials, ISSN: 1745-6215 (JCR Impact Factor-2018: 1.975; Quartil: Q3)

Blanco, D.; Weng, A. (2019). Practical aspects of modelling parameter uncertainty for risk capital calculation. - Zeitschrift fur die gesamte Versicherungswissenschaft, ISSN: 1865-9748 (JCR Impact Factor-2019: 0.166; Quartil: Q4)

Blanco, D.; Altman, D.; Moher, D.; Boutron, I.; Kirkham, J.; Cobo, E. (2019). Scoping review on interventions to improve adherence to reporting guidelines in health research. - BMJ Open, ISSN: 2044-6055 (JCR Impact Factor-2019: 2.496; Quartil: Q2)

Blanco, D.; Hren , D.; Kirkham, J.; Cobo, E.; Schroter, S. (2019). A survey exploring biomedical editors’ perceptions of editorial interventions to improve adherence to reporting guidelines. - F1000 Research Ltd, ISSN: 2046-1402 (JCR Impact Factor-2019: 1.357; Quartil: Q1)

Blanco, D.; Cobo, E. (2020). Effect of an editorial intervention to improve the completeness of reporting of randomised trials: a randomised controlled trial. - BMJ Open, ISSN: 2044-6055 (JCR Impact Factor-2018: 2.376; Quartil: Q2)

Blanco, D.; Cobo, E.; Kirkham, J.; Boutron, I. (2017). Interventions to improve reporting guidelines adherence: a scoping review.

Blanco, D. (2017). Increasing research value, reducing waste: interventions to improve adherence to reporting guidelines in the context of MiRoR project.

Blanco, D.; Kirkham, J.; Altman, D.; Moher, D.; Boutron, I.; Cobo, E. (2017). Interventions to improve adherence to reporting guidelines: A scoping review.

Blanco, D.; Cobo, E. (2018). Interventions to improve adherence to Reporting Guidelines in health research: a scoping review.

AUTHOR:CASANELLAS PEÑALVER, GLÒRIA
Title:Optimization methods for the design of progressive lenses.
Reading date:12/03/2020
Director:CASTRO PÉREZ, JORDI
Mention:No
RELATED PUBLICATIONS
Casanellas, G.; Castro, J. (2019). Using interior point solvers for optimizing progressive lens models with spherical coordinates.

Casanellas, G.; Castro, J.; Dürsteler López, Juan Carlos (2015). Modelización y optimización de lentes progresivas.

Casanellas, G.; Castro, J. (2016). Modelling and optimization of progressive lenses.

Casanellas, G.; Castro, J. (2018). Design of progressive lenses by optimization technique.

AUTHOR:REBILLAS LOREDO, VICTORIA
Title:The Multi-Depot VRP with Vehicle Interchanges
Reading date:19/12/2018
Director:ALBAREDA SAMBOLA, MARIA
Mention:No
RELATED PUBLICATIONS
Rebillas , V.; Albareda-Sambola, M. (2016). The multi-depot VRP with vehicle interchanges.

Albareda-Sambola, M.; Rebillas , V. (2017). A new VRP policy with resource sharing.

Rebillas , V.; Albareda-Sambola, M. (2018). A two-index formulation for the MDVRP with Vehicle Interchanges.

AUTHOR:XAMPENY SOLANI, RAFAEL
Title:Contributions to the planning and analysis of factorial designs
Reading date:20/06/2018
Director:GRIMA CINTAS, PEDRO
Mention:No
RELATED PUBLICATIONS
Xampeny, R.; Grima, P.; Tort-Martorell, J. (2017). Estimating missing values from negligible interactions in factorial designs. - Quality and reliability engineering international, ISSN: 0748-8017 (JCR Impact Factor-2017: 1.604; Quartil: Q2)

Xampeny, R.; Grima, P.; Tort-Martorell, J. (2018). Selecting significant effects in factorial designs: Lenth's method versus using negligible interactions. - Communications in statistics. Simulation and computation, ISSN: 0361-0918 (JCR Impact Factor-2018: 0.49; Quartil: Q4)

Xampeny, R.; Grima, P.; Tort, X. (2018). Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach. - Journal of applied statistics, ISSN: 0266-4763 (JCR Impact Factor-2018: 0.767; Quartil: Q3)

Xampeny, R.; Grima, P.; Tort-Martorell, J. (2018). Which runs to skip in two-level factorial designs when not all can be performed. - Quality engineering, ISSN: 0898-2112 (JCR Impact Factor-2018: 1.626; Quartil: Q2)

Xampeny, R.; Grima, P.; Tort-Martorell, J. (2018). Consequences of using estimated response values from negligible interactions in factorial designs. - Quality and reliability engineering international, ISSN: 0748-8017 (JCR Impact Factor-2018: 1.409; Quartil: Q3)

AUTHOR:HUERTA MUÑOZ, DIANA LUCIA
Title:The Flexible Periodic Vehicle Routing Problem: Modeling alternatives and solution techniques
Reading date:16/03/2018
Director:FERNÁNDEZ AREIZAGA, ELENA
Co-director:ARCHETTI, CLAUDIA
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Huerta, D.; Rios, R.; Ruiz, R. (2017). An iterated greedy heuristic for a market segmentation problem with multiple attributes. - European journal of operational research, ISSN: 0377-2217 (JCR Impact Factor-2017: 3.428; Quartil: Q1)

Archetti, C.; Fernandez, E.; Huerta, D. (2017). The flexible periodic vehicle routing problem. - Computers & operations research, ISSN: 0305-0548 (JCR Impact Factor-2017: 2.962; Quartil: Q1)

Archetti, C.; Fernandez, E.; Huerta, D. (2018). A two-phase solution algorithm for the Flexible Periodic Vehicle Routing Problem. - Computers & operations research, ISSN: 0305-0548 (JCR Impact Factor-2018: 3.002; Quartil: Q1)

Huerta, D.; Archetti, C.; Fernandez, E. (2015). Problemas periódicos de rutas de vehículos: alternativas de modelización y métodos de solución.

AUTHOR:RODRÍGUEZ PEREIRA, JESSICA
Title:New models and algorithms for several families of Arc Routing Problems
Reading date:09/01/2018
Director:FERNÁNDEZ AREIZAGA, ELENA
Co-director:LAPORTE, GILBERT
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Rodriguez-Pereira, J. (2015). Models and algorithms for Location - Arc Routing.

Costas Morago, Enric (2015). DISSENY I DESENVOLUPAMENT D'UN MODEL MATEMÀTIC PER A LA PLANIFICACIÓ DE LES LÍNIES DE FOLRAT D'UNA INDUSTRIA DE PACKAGING..

Moya Martín-caro, Raquel (2015). IMPLANTACIÓN DE UN SISTEMA DE LOGÍSTICA INVETRSA EN UNA COMPAÑÍA DE DISTRIBUCIÓN RETAIL..

Arenas Vasco, Alejandro (2018). Solución de una red de distribución multidepósito con un método de generación de columnas.

Cardona Pia, Marta (2018). Diseño de una red biconexa: aplicación a la distribución de agua potable.

Fernandez, E.; Rodriguez-Pereira, J. (2017). Multi-depot rural postman problems. - TOP, ISSN: 1134-5764 (JCR Impact Factor-2017: 1.094; Quartil: Q3)

Fernandez, E.; Gilbert, L.; Rodriguez-Pereira, J. (2018). A branch-and-cut algorithm for the multidepot rural postman problem. - Transportation science, ISSN: 0041-1655 (JCR Impact Factor-2018: 3.31; Quartil: Q1)

Rodriguez-Pereira, J.; Fernandez, E.; Gilbert, L. (2016). Undirected multi-depot rural postman problem.

Rodriguez-Pereira, J.; Fernandez, E.; Gilbert, L. (2018). Exact solution of location-arc routing problems.

Fernandez, E.; Gilbert, L.; Reinelt, G.; Rodriguez-Pereira, J. (2018). Target Visitation Arc Routing with clustered demand.

AUTHOR:MASIP TRESSERRA, JAUME
Title:Policentrisme i Eficiència Territorial. Avenços Teòrics i Empírics
Reading date:13/11/2017
Director:GINEBRA MOLINS, JOSEP
Co-director:PUIG ORIOL, XAVIER
Mention:No
RELATED PUBLICATIONS
Masip, J. (2017). Policentrisme i eficiència teritorial: Avenços Teòrics i Empírics.

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/06/202031/08/2020OPTIMITZACIÓ DE RESERVES CABLE EN BOBINES (ORCB)TOP-CABLE, SA
01/06/202031/07/2020Formació en tècniques estadístiques de disseny i anàlisi d'experiments més rellevants per lesseves activitats.GALENICUM HEALTH, S.L.
01/06/202031/05/2024Trenes de Vehículos Autónomos y Conectados en Autopista: Modelización Microscópica y Estrategias de GestiónAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Metodologías estadísticas para datos clínicos y ómicos y sus aplicaciones en ciencias de la saludAGENCIA ESTATAL DE INVESTIGACION
11/05/202030/09/2020curso estadístico online sobre “Reporting guidelines (RG)” para escribir o revisar un Trabajo de Investigación Clínica (en adelante, el Curso)MEDTRONIC IBÉRICA, S.A.
07/05/202007/05/2020PyHIST: A Histological Image Segmentation Tool
01/05/202001/10/2020SDL-PAND: PANDEMIC SIMULATION TO TEST THE EFFECTIVENESS OF CONTAINMENT STRATEGIES THROUGH CELLULAR AUTOMATA AND INTELLIGENT AGENTS USING FORMAL SDL LANGUAGESCentre de Cooperació per al Desenvolupament de la UPC
17/02/202017/02/2021Formació sistema ATTEINSTITUT MUNICIPAL DE PERSONES AMB
20/01/202019/01/2021Consultoria desarrollo tratamiento trombolíticoAPTATARGETS S.LU.
01/01/202031/12/2022Intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industry data economyCommission of European Communities
18/12/201918/12/2022A Simulation-Based Multimodal Dynamic Assigment accounting for Public Transport and new Mobility ServicesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
24/10/201929/02/2020Projecte d'innovació: Graphical UI for a model of an electric Car-Sharing systemFUNDACIO C INNOVACIO I TEC CIT UPC
10/10/201931/12/2019Anàlisi Viabilitat Model TransportCONSORCI EDUCACIÓ DE BARCELONA
16/09/201930/11/2019Develop a prototype for the individual talents mapNAPPTILUS TECH LAB, S.L.
16/09/201930/11/2019Projecte d'innovació sobre “Parking Stations Layout for a Car-Sharing system”FUNDACIO C INNOVACIO I TEC CIT UPC
01/09/201931/08/2022GAVIUS: from reactive to proactive public administrationsCommission of European Communities
16/07/201915/11/2019Predicció d'indicadors inmobiliaris: Actualització de models macroeconòmics i microeconòmics d’indicadors immobiliaris, el desenvolupament d’un model microeconòmics i un model de segmentació de provínAIS APLICACIONES DE INTELIGENCIA AR
01/07/201930/06/2021Localización y problemas afinesAGENCIA ESTATAL DE INVESTIGACION
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
05/06/201931/10/2020I+D Desarrollo Data LakeADQUIVER MEDIA, SL
27/05/201930/06/2020UNIQUE: UNIversal QUantification join-graphs for sql assErtionsOracle Corporation
15/05/201931/12/2019Sponsorització 2019 ENBIS MeetingEU.NETW. BUSIN. AND IND.STATISTICS
14/05/201930/09/2020METRICS:METamodelling for Retrieving Invoked Source CodeBIGFINITE BARCELONA, SOCIEDAD LIMIT
05/04/201930/11/2019CarGuard 3SEAT SA
25/02/201925/04/2019Desenvolupament projecte E-ObservatoryWIRING TECHNOLOGIES, S.L.
16/01/201931/12/2019Colaboració desenvolupament front end aplicaciones creadas WoeldsesingWORLDSENSING, S.L.
01/01/201931/12/2022Modelización y Optimización de Problemas Estructurados de Gran Escala y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Modelización Computacional de Procesos Biofísicos en Múltiples EscalasAGENCIA ESTATAL DE INVESTIGACION
21/12/201831/07/2019Desenvolupament del projecte de recerca: segona fase del projecte CAR GUARDSEAT, S.A.
26/11/201831/12/2019Projecte Virtual Mobility Lab2BCNFUNDACIO C INNOVACIO I TEC CIT UPC
22/11/201830/04/2019Conveni de col.laboració en Innovació en CiberseguretatFUNDACIÓ i2CAT
23/10/201801/04/2019Implementació d’una eina d’anàlisi del nivell de maduresa de les empreses respecte a la indústria 4.0Ajuntament de Terrassa
15/10/201820/12/2020Agreement SiemensSIEMENS SA
05/10/201830/11/2018Formació ciberseguretat avançada: informàtica forense anàlisi de sistemesINSTITUT SEGURETAT PÚBLICA DE CAT.
01/10/201831/03/2019HPC optimisation of SDLPS distributed simulatorUnió Europea - FP7
21/09/201831/10/2018Patrocini 21er Congrés Internacional de l'Associació Catalana d'Intel·ligència ArtificialAIS APLICACIONES DE INTELIGENCIA AR
01/08/201830/11/2018Sponsored Research AgreementElectronics and Telecommunications
24/07/201831/07/2018Verificación de funcionalidades de una aplicación de borrado de discos en equipos informáticosBORAX DISTRIBUCION INFORMATICA USAD
17/07/201801/07/2020Col·laboració per promoure la innovació en els serveis TIC dels diferents àmbits d'acció pública i privada.SBS SEIDOR, S.L.
14/06/201817/02/2021Aplicació Tecnologia al Transport especialINSTITUT MUNICIPAL DE PERSONES AMB
18/05/201830/06/2019Análisis textual de los documentos de planificación hidrológica de las cuencas hidrográficas del espacio SUDOE en el marco del proyecto AGUAMOD SOE1/P5/F0026 financiado por el programa de cooperaciónUNIVERSIDAD DEL PAIS VASCO
02/05/201801/05/2019Pla de transferència inlab 2018-2019ACC10
01/05/201830/04/2020Disseny i anàlisi dels resultats d'una investigació clínicaSUBTILIS BIOMATERIALS, S.L
01/04/201831/12/2018Computational performance of a selected set of APIs connecting some components of the product/'MaaS Operator/'PTV TRAFFIC AND TRANSPORTATION SOFT
01/04/201821/12/2018Análisis de las políticas de adaptación al cambio climático en escenarios de sequía a raíz de la Frame Water Directive en las cuencas SUDOEUniversitat del País Basc
14/03/201814/03/2018zipfextR:R-package
01/02/201830/04/2018Estudi de satisfacció dels clientes de l'empresa Transdina S.A.TRANSDINA, S.A.
01/02/201831/03/2019Formación en la metología y herramientas de seis sigma y seguimiento de los proyectos de mejoraMAXAMCORP HOLDING SL
01/01/201831/12/2021Razonamiento automático, ejecución de modelos y análisis de datos a partir de ontologíasAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Estrechando la brecha entre la estadística y la ciencia de datosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Caracterización de la inestabilidad genómica y las mutaciones somáticas en linfoma de células del manto y su impacto pronosticoInstituto de Salud Carlos III
01/01/201831/12/2020Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
13/12/201713/06/2021Development of dynamic OD estimators exploiting ICT traffic measurementsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/11/201722/12/2017Optimización del prototipo y tecnología SW de gestión de tráfico y parking en el marco del proyecto Fastprk2WORLDSENSING, S.L.
13/11/201702/03/2018Colaboración para el desarrollo de un sistema de generación de mensajes automático basado en el modelo Space Vector Model, en el marco del proyecto/'SAM APP v2.0/'OTC ENGINEERING SL
23/10/201731/12/2017Formació en Lean seis SigmaSELLBYTEL GROUP, S.A.
01/10/201731/12/2017Formació en tècniques de plantejament i anàlisi de dissenys d'experiments en processos de Biokit.BIOKIT RESEARCH & DEVELOPMENT, SLU
01/10/201731/12/2017Projecte Virtual Mobility Lab BCNFUNDACIO C INNOVACIO I TEC CIT UPC
31/07/201731/07/2017GESCONDA
20/07/201731/03/2019Implantació i desenvolupament d'un programa de millora Lean-Sis SigmaCHUPA CHUPS, S.A UNIPERSONAL
01/07/201731/03/2018H-07036FUNDACIO C INNOVACIO I TEC CIT UPC
01/07/201731/03/2018H-07035FUNDACIO C INNOVACIO I TEC CIT UPC
01/06/201728/02/2018Assessoria de seguretat informàtica per a CELLSCELLS (CONS.CONSTRUC.EQUIP.I EXPLOT
18/05/201717/07/2017Desenvolupament d'un frontend basat en tecnologia web i un interface amb una plataforma d'anàlisi de dades basada en web services en l'àmbit del màrqueting i publicitatESPACIO INVERSOR 5000, SL
02/05/201702/05/2018Pla d'actuació InLabACC10
28/04/201731/12/2018Estudio comparativo del traslado de pacientes con ictus agudo al centro local de ictus más cercano hacia el traslado directo a un centro endovascularFund Priv.ICTUS Malaltia Vascular
18/04/201717/10/2020Designing smart ITS services through innovative data analysis modelsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
12/04/201731/12/2017Formació de Green Belts seguint la metodologia Sis SigmaSELLBYTEL GROUP, S.A.
01/04/201701/11/2017CarGuard: Comunicant mòbils amb automòbilsSEAT SA
08/02/201731/12/2020C-ROADS SPAINCommission of European Communities
27/01/201730/06/2017Barcelona a on demand shuttle: demand responsive transport study-2017FUNDACIO C INNOVACIO I TEC CIT UPC
23/01/201731/03/2017Formación y asesoramiento para la implantació y desarrollo de programas de mejora Lean-Seis SigmaGLOBAL STEEL WIRE, S.A.
17/01/201731/12/2017Formación en la implantación de proyectos de mejora Seis-Sigma en la empresa NervaceroNERVACERO, S.A.
01/01/201731/12/2017El proyecto de Estímulo del Talento Matemático (ESTALMAT) en CatalunyaFundación Española para la Ciencia y la Tecnología (Fecyt)
01/01/201731/12/2019Anàlisis de Dades Composicionals i Espacials. COmpositional and Spatial Data Analysis [COSDA]Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR)
01/01/201731/12/2020FUNDACIÓ MARATÓ TV3 - Nous biomarcadors predictius de recuperació funcional òptima i de bona resposta al tractament endovascular de l’ictus isquèmic agut. Estudi PrOMISE (somatosensory evoked POtEntials MonItoring during acute ischemic StrokE)Fundació La Marató de TV3
30/12/201629/12/2019Metodología para la obtención de prótesis de cerámica utilizando técnicas híbridas de impresión 3D, tratamiento térmico y acabado superficial por arranque de materialMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2020Obtención y ennoblecimiento de cáñamo para sustratos textilesMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2020Robustez,eficiencia y recuperación de sistemas de transporte públicoMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2019Conducción cooperativa en autopista: estrategias de gestión en un sistema mixto - vehículos autónomos y tradicionales.MIN DE ECONOMIA Y COMPETITIVIDAD
21/11/201631/03/2017Projecte de simulació del nou mobility center del port de BarcelonaAutoritat Portuària de Barcelona
16/11/201613/02/2020Strategic analytical models in supply chain design through mathematical optimizationACCENTURE TECHNOLOGY LABS
01/11/201631/10/2018Criminal Justice Access to Digital Evidences in the Cloud - LIVE_FORensicsEUR COM DG JUSTICE AND CONSUMERS
13/10/201614/10/2016ASSESSORAMENT PUNTUAL A L'AGÈNCIA DE SALUT PÚBLICA CATALANAAgència de Salut Pública de Catalunya
05/10/201630/06/2017Desenvolupament del nou sistema d'informació i integració APP Juga Verd PlayCONSELL ESPORTIU BAIX LLOBREGAT
28/09/201630/01/2017Desenvolupament aplicació UnidescatC. SER UNIVERSITARIS CATALUNYA CSUC
19/09/201631/12/2017Formacion y asesoramiento para la implantación de programas de mejora Lean-Seis SigmaCOMPAÑIA ESPAÑ. DE LAMINACION, S.L.
15/09/201614/09/2019eHealth EurocampusCommission of European Communities
01/07/201630/06/2019Assessorament metodològic i anàlisi estadístic de dades procedents de recerca biomèdicaBIOKIT RESEARCH & DEVELOPMENT, SLU
01/06/201631/05/2017Estudi de dades sobre el rol de l'enginyeria i els enginyersCOL.LEGI OF.ENG.INDUST. CATALUNYA
23/05/201609/09/2016ASSESSORAMENT PER A L’ESTUDI D’INSERCIÓ LABORAL per AQU CatalunyaAgència per a la Qualitat del Sistema Universitari de Catalunya
16/05/201629/07/2016Models d'optimització per al projecte WAVE de MANGOPUNTO FA S.L. (Sociedad Unipesonal)
04/05/201631/12/2017Desarrollo de un procedimiento para medir y analizar el nivel de satisfacción de los clientes de TransdinaTRANSDINA, S.A.
14/03/201631/12/2016Simulacio nou mobility center Port BarcelonaAutoritat Portuària de Barcelona
01/03/201629/02/2020Methods in research on researchCommission of European Communities
29/01/201631/12/2016Adecuación herramientas seguridad en puesto de trabajo y entornos móvilesMNEMO EVOLUT. & INTEGRATION SERV SA
22/01/201631/07/2016Formación y asesoramiento de ingenieros en la utilización de la metodología seis sigmaMAXAMCORP HOLDING SL
19/01/201619/05/2016Disseny d'un sistema de suport per determinar els criteris de baixa òptima en tot tipus de licitacions d'obra pública incloent tota tipologia de clientsDATANCIA, S.L.
15/01/201615/04/2015simulació nou sistemes reserves Port BarcelonaAutoritat Portuària de Barcelona
01/01/201631/12/2020Optimización discreta para problemas integrados en logística y transporteMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2020Metodos estadisticos par ensayos clínicos, patrones de censura complejos y analisis integrado de datos omicoMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2019Optimización de muy gran escala: métodos y aplicacionesMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2016BlockIP
01/01/201631/12/2018Aterosclerosis cervico-cerebral, ictus y deterioro cognitivo incidentes en la cohorte poblacional AsIAInstituto de Salud Carlos III
01/01/201631/12/2018Bridging the Interoperability Gap of the Internet of ThingsCommission of European Communities
02/11/201531/03/2016Simulació i exploració treball servidorsINDRA BPO SERVICIOS SLU
30/10/201501/05/2017Pla de creixement INLABACC10
21/10/201520/10/2016Treballs per a l'evolució del mòdul SITMUN per a la gestió d'incidències a la via pública per l'èrea de territori i sostenibilitat. (EXPT. 206). Núm. Expedient: 2015/5904Diputació de Barcelona
01/10/201525/11/2016Desenvolupament de l'aplicació TCQGMAFUND.INST.TECN.CONSTRUC.CATAL. ITEC
01/10/201523/09/2016Projecte CitEffectCENTRO TÉCNICO DE SEAT
01/10/201525/11/2016Conveni de col·laboració entre la Universitat Politècnica de Catalunya i Institut de Tecnologia de la construcció per al desenvolupament de l’aplicació TCQGMAITEC - Institut de Tecnologia de la Construcció de Catalunya
01/09/201531/08/2019Secure Management Platform for Shared Process Resources (SHAREBOX)Commission of European Communities
01/09/201531/12/2017Assesorament i analisis estadist IMIMFUNDACIÓ IMIM
31/07/201530/07/2016Studying the advantages of ultra-postponement with 3D printingACCENTURE TECHNOLOGY LABS
06/07/201530/04/2017Desenvolupament projecte SEAT iCitySEAT, S.A.
04/06/201531/12/2015Formación en los conocimientos y habilidades que caracterizan a los Green Belts de los programas de mejora Lean Seis Sigma y Coaching de sus respectivos proyectos de mejoraGYD IBÉRICA, S.A. UNIPERSONAL
01/06/201501/12/2015Gestió de la formació del sistema d'ensenyament de la GeneralitatAVENSEI SYSTEM, S.L.
22/05/201531/12/2015Sponsorització 2015 ENBIS Spring MeetingEU.NETW. BUSIN. AND IND.STATISTICS
01/05/201501/11/2018Information technologies for shift to railCommission of European Communities
15/04/201504/05/2022Suport a Seidor per concurs UOCSBS SEIDOR, S.L.
01/01/201531/12/2017Un recomendador inteligente de dietas personalizadas desde la observación integrada de las características, hábitos y condiciones de las personas (Diet4You)MIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201530/11/2017Robustez, recuperación y adaptabilidad de sistemas de transporte públicoMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201531/12/2018Barcelona Graduate School of MathematicsMinisterio de Economia y Competitividad
28/04/201430/04/2017Build a new Energy Renovation Strategy around the MediterraneanInstitut de Recerca en Energia de Catalunya (IREC)
01/09/201230/06/2015Erasmus Mundus Joint Doctorate Programme in Information Technologies for Business Intelligence - Doctoral CollegeUniversitat Politècnica de Catalunya
29/04/200430/06/2018ASSAJOS CLÍNICS VIH/SIDAFUNDACIÓ LLUITA CONTRA LA SIDA (duplicat 0000003656)

Teaching staff and research groups

Research groups

UPC groups:External groups:

Red Nacional de Bioestadística (National Biostatistics Network), https://www.eio.upc.edu/es/recerca-es/grupos-de-investigacion/biostatnet-red-nacional-de-bioestadistica

Research Group in Survival Analysis (GRASS), https://www.eio.upc.edu/es/recerca-es/grupos-de-investigacion/grass-research-group-in-survival-analysis

Teachers

Doctoral Programme teachers:

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/06/202031/08/2020OPTIMITZACIÓ DE RESERVES CABLE EN BOBINES (ORCB)TOP-CABLE, SA
01/06/202031/07/2020Formació en tècniques estadístiques de disseny i anàlisi d'experiments més rellevants per lesseves activitats.GALENICUM HEALTH, S.L.
01/06/202031/05/2024Trenes de Vehículos Autónomos y Conectados en Autopista: Modelización Microscópica y Estrategias de GestiónAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Metodologías estadísticas para datos clínicos y ómicos y sus aplicaciones en ciencias de la saludAGENCIA ESTATAL DE INVESTIGACION
11/05/202030/09/2020curso estadístico online sobre “Reporting guidelines (RG)” para escribir o revisar un Trabajo de Investigación Clínica (en adelante, el Curso)MEDTRONIC IBÉRICA, S.A.
07/05/202007/05/2020PyHIST: A Histological Image Segmentation Tool
01/05/202001/10/2020SDL-PAND: PANDEMIC SIMULATION TO TEST THE EFFECTIVENESS OF CONTAINMENT STRATEGIES THROUGH CELLULAR AUTOMATA AND INTELLIGENT AGENTS USING FORMAL SDL LANGUAGESCentre de Cooperació per al Desenvolupament de la UPC
17/02/202017/02/2021Formació sistema ATTEINSTITUT MUNICIPAL DE PERSONES AMB
20/01/202019/01/2021Consultoria desarrollo tratamiento trombolíticoAPTATARGETS S.LU.
01/01/202031/12/2022Intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industry data economyCommission of European Communities
18/12/201918/12/2022A Simulation-Based Multimodal Dynamic Assigment accounting for Public Transport and new Mobility ServicesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
24/10/201929/02/2020Projecte d'innovació: Graphical UI for a model of an electric Car-Sharing systemFUNDACIO C INNOVACIO I TEC CIT UPC
10/10/201931/12/2019Anàlisi Viabilitat Model TransportCONSORCI EDUCACIÓ DE BARCELONA
16/09/201930/11/2019Develop a prototype for the individual talents mapNAPPTILUS TECH LAB, S.L.
16/09/201930/11/2019Projecte d'innovació sobre “Parking Stations Layout for a Car-Sharing system”FUNDACIO C INNOVACIO I TEC CIT UPC
01/09/201931/08/2022GAVIUS: from reactive to proactive public administrationsCommission of European Communities
16/07/201915/11/2019Predicció d'indicadors inmobiliaris: Actualització de models macroeconòmics i microeconòmics d’indicadors immobiliaris, el desenvolupament d’un model microeconòmics i un model de segmentació de provínAIS APLICACIONES DE INTELIGENCIA AR
01/07/201930/06/2021Localización y problemas afinesAGENCIA ESTATAL DE INVESTIGACION
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
05/06/201931/10/2020I+D Desarrollo Data LakeADQUIVER MEDIA, SL
27/05/201930/06/2020UNIQUE: UNIversal QUantification join-graphs for sql assErtionsOracle Corporation
15/05/201931/12/2019Sponsorització 2019 ENBIS MeetingEU.NETW. BUSIN. AND IND.STATISTICS
14/05/201930/09/2020METRICS:METamodelling for Retrieving Invoked Source CodeBIGFINITE BARCELONA, SOCIEDAD LIMIT
05/04/201930/11/2019CarGuard 3SEAT SA
25/02/201925/04/2019Desenvolupament projecte E-ObservatoryWIRING TECHNOLOGIES, S.L.
16/01/201931/12/2019Colaboració desenvolupament front end aplicaciones creadas WoeldsesingWORLDSENSING, S.L.
01/01/201931/12/2022Modelización y Optimización de Problemas Estructurados de Gran Escala y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Modelización Computacional de Procesos Biofísicos en Múltiples EscalasAGENCIA ESTATAL DE INVESTIGACION
21/12/201831/07/2019Desenvolupament del projecte de recerca: segona fase del projecte CAR GUARDSEAT, S.A.
26/11/201831/12/2019Projecte Virtual Mobility Lab2BCNFUNDACIO C INNOVACIO I TEC CIT UPC
22/11/201830/04/2019Conveni de col.laboració en Innovació en CiberseguretatFUNDACIÓ i2CAT
23/10/201801/04/2019Implementació d’una eina d’anàlisi del nivell de maduresa de les empreses respecte a la indústria 4.0Ajuntament de Terrassa
15/10/201820/12/2020Agreement SiemensSIEMENS SA
05/10/201830/11/2018Formació ciberseguretat avançada: informàtica forense anàlisi de sistemesINSTITUT SEGURETAT PÚBLICA DE CAT.
01/10/201831/03/2019HPC optimisation of SDLPS distributed simulatorUnió Europea - FP7
21/09/201831/10/2018Patrocini 21er Congrés Internacional de l'Associació Catalana d'Intel·ligència ArtificialAIS APLICACIONES DE INTELIGENCIA AR
01/08/201830/11/2018Sponsored Research AgreementElectronics and Telecommunications
24/07/201831/07/2018Verificación de funcionalidades de una aplicación de borrado de discos en equipos informáticosBORAX DISTRIBUCION INFORMATICA USAD
17/07/201801/07/2020Col·laboració per promoure la innovació en els serveis TIC dels diferents àmbits d'acció pública i privada.SBS SEIDOR, S.L.
14/06/201817/02/2021Aplicació Tecnologia al Transport especialINSTITUT MUNICIPAL DE PERSONES AMB
18/05/201830/06/2019Análisis textual de los documentos de planificación hidrológica de las cuencas hidrográficas del espacio SUDOE en el marco del proyecto AGUAMOD SOE1/P5/F0026 financiado por el programa de cooperaciónUNIVERSIDAD DEL PAIS VASCO
02/05/201801/05/2019Pla de transferència inlab 2018-2019ACC10
01/05/201830/04/2020Disseny i anàlisi dels resultats d'una investigació clínicaSUBTILIS BIOMATERIALS, S.L
01/04/201831/12/2018Computational performance of a selected set of APIs connecting some components of the product/'MaaS Operator/'PTV TRAFFIC AND TRANSPORTATION SOFT
01/04/201821/12/2018Análisis de las políticas de adaptación al cambio climático en escenarios de sequía a raíz de la Frame Water Directive en las cuencas SUDOEUniversitat del País Basc
14/03/201814/03/2018zipfextR:R-package
01/02/201830/04/2018Estudi de satisfacció dels clientes de l'empresa Transdina S.A.TRANSDINA, S.A.
01/02/201831/03/2019Formación en la metología y herramientas de seis sigma y seguimiento de los proyectos de mejoraMAXAMCORP HOLDING SL
01/01/201831/12/2021Razonamiento automático, ejecución de modelos y análisis de datos a partir de ontologíasAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Estrechando la brecha entre la estadística y la ciencia de datosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Caracterización de la inestabilidad genómica y las mutaciones somáticas en linfoma de células del manto y su impacto pronosticoInstituto de Salud Carlos III
01/01/201831/12/2020Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
13/12/201713/06/2021Development of dynamic OD estimators exploiting ICT traffic measurementsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/11/201722/12/2017Optimización del prototipo y tecnología SW de gestión de tráfico y parking en el marco del proyecto Fastprk2WORLDSENSING, S.L.
13/11/201702/03/2018Colaboración para el desarrollo de un sistema de generación de mensajes automático basado en el modelo Space Vector Model, en el marco del proyecto/'SAM APP v2.0/'OTC ENGINEERING SL
23/10/201731/12/2017Formació en Lean seis SigmaSELLBYTEL GROUP, S.A.
01/10/201731/12/2017Formació en tècniques de plantejament i anàlisi de dissenys d'experiments en processos de Biokit.BIOKIT RESEARCH & DEVELOPMENT, SLU
01/10/201731/12/2017Projecte Virtual Mobility Lab BCNFUNDACIO C INNOVACIO I TEC CIT UPC
31/07/201731/07/2017GESCONDA
20/07/201731/03/2019Implantació i desenvolupament d'un programa de millora Lean-Sis SigmaCHUPA CHUPS, S.A UNIPERSONAL
01/07/201731/03/2018H-07036FUNDACIO C INNOVACIO I TEC CIT UPC
01/07/201731/03/2018H-07035FUNDACIO C INNOVACIO I TEC CIT UPC
01/06/201728/02/2018Assessoria de seguretat informàtica per a CELLSCELLS (CONS.CONSTRUC.EQUIP.I EXPLOT
18/05/201717/07/2017Desenvolupament d'un frontend basat en tecnologia web i un interface amb una plataforma d'anàlisi de dades basada en web services en l'àmbit del màrqueting i publicitatESPACIO INVERSOR 5000, SL
02/05/201702/05/2018Pla d'actuació InLabACC10
28/04/201731/12/2018Estudio comparativo del traslado de pacientes con ictus agudo al centro local de ictus más cercano hacia el traslado directo a un centro endovascularFund Priv.ICTUS Malaltia Vascular
18/04/201717/10/2020Designing smart ITS services through innovative data analysis modelsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
12/04/201731/12/2017Formació de Green Belts seguint la metodologia Sis SigmaSELLBYTEL GROUP, S.A.
01/04/201701/11/2017CarGuard: Comunicant mòbils amb automòbilsSEAT SA
08/02/201731/12/2020C-ROADS SPAINCommission of European Communities
27/01/201730/06/2017Barcelona a on demand shuttle: demand responsive transport study-2017FUNDACIO C INNOVACIO I TEC CIT UPC
23/01/201731/03/2017Formación y asesoramiento para la implantació y desarrollo de programas de mejora Lean-Seis SigmaGLOBAL STEEL WIRE, S.A.
17/01/201731/12/2017Formación en la implantación de proyectos de mejora Seis-Sigma en la empresa NervaceroNERVACERO, S.A.
01/01/201731/12/2017El proyecto de Estímulo del Talento Matemático (ESTALMAT) en CatalunyaFundación Española para la Ciencia y la Tecnología (Fecyt)
01/01/201731/12/2019Anàlisis de Dades Composicionals i Espacials. COmpositional and Spatial Data Analysis [COSDA]Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR)
01/01/201731/12/2020FUNDACIÓ MARATÓ TV3 - Nous biomarcadors predictius de recuperació funcional òptima i de bona resposta al tractament endovascular de l’ictus isquèmic agut. Estudi PrOMISE (somatosensory evoked POtEntials MonItoring during acute ischemic StrokE)Fundació La Marató de TV3
30/12/201629/12/2019Metodología para la obtención de prótesis de cerámica utilizando técnicas híbridas de impresión 3D, tratamiento térmico y acabado superficial por arranque de materialMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2020Obtención y ennoblecimiento de cáñamo para sustratos textilesMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2020Robustez,eficiencia y recuperación de sistemas de transporte públicoMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2019Conducción cooperativa en autopista: estrategias de gestión en un sistema mixto - vehículos autónomos y tradicionales.MIN DE ECONOMIA Y COMPETITIVIDAD
21/11/201631/03/2017Projecte de simulació del nou mobility center del port de BarcelonaAutoritat Portuària de Barcelona
16/11/201613/02/2020Strategic analytical models in supply chain design through mathematical optimizationACCENTURE TECHNOLOGY LABS
01/11/201631/10/2018Criminal Justice Access to Digital Evidences in the Cloud - LIVE_FORensicsEUR COM DG JUSTICE AND CONSUMERS
13/10/201614/10/2016ASSESSORAMENT PUNTUAL A L'AGÈNCIA DE SALUT PÚBLICA CATALANAAgència de Salut Pública de Catalunya
05/10/201630/06/2017Desenvolupament del nou sistema d'informació i integració APP Juga Verd PlayCONSELL ESPORTIU BAIX LLOBREGAT
28/09/201630/01/2017Desenvolupament aplicació UnidescatC. SER UNIVERSITARIS CATALUNYA CSUC
19/09/201631/12/2017Formacion y asesoramiento para la implantación de programas de mejora Lean-Seis SigmaCOMPAÑIA ESPAÑ. DE LAMINACION, S.L.
15/09/201614/09/2019eHealth EurocampusCommission of European Communities
01/07/201630/06/2019Assessorament metodològic i anàlisi estadístic de dades procedents de recerca biomèdicaBIOKIT RESEARCH & DEVELOPMENT, SLU
01/06/201631/05/2017Estudi de dades sobre el rol de l'enginyeria i els enginyersCOL.LEGI OF.ENG.INDUST. CATALUNYA
23/05/201609/09/2016ASSESSORAMENT PER A L’ESTUDI D’INSERCIÓ LABORAL per AQU CatalunyaAgència per a la Qualitat del Sistema Universitari de Catalunya
16/05/201629/07/2016Models d'optimització per al projecte WAVE de MANGOPUNTO FA S.L. (Sociedad Unipesonal)
04/05/201631/12/2017Desarrollo de un procedimiento para medir y analizar el nivel de satisfacción de los clientes de TransdinaTRANSDINA, S.A.
14/03/201631/12/2016Simulacio nou mobility center Port BarcelonaAutoritat Portuària de Barcelona
01/03/201629/02/2020Methods in research on researchCommission of European Communities
29/01/201631/12/2016Adecuación herramientas seguridad en puesto de trabajo y entornos móvilesMNEMO EVOLUT. & INTEGRATION SERV SA
22/01/201631/07/2016Formación y asesoramiento de ingenieros en la utilización de la metodología seis sigmaMAXAMCORP HOLDING SL
19/01/201619/05/2016Disseny d'un sistema de suport per determinar els criteris de baixa òptima en tot tipus de licitacions d'obra pública incloent tota tipologia de clientsDATANCIA, S.L.
15/01/201615/04/2015simulació nou sistemes reserves Port BarcelonaAutoritat Portuària de Barcelona
01/01/201631/12/2020Optimización discreta para problemas integrados en logística y transporteMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2020Metodos estadisticos par ensayos clínicos, patrones de censura complejos y analisis integrado de datos omicoMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2019Optimización de muy gran escala: métodos y aplicacionesMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2016BlockIP
01/01/201631/12/2018Aterosclerosis cervico-cerebral, ictus y deterioro cognitivo incidentes en la cohorte poblacional AsIAInstituto de Salud Carlos III
01/01/201631/12/2018Bridging the Interoperability Gap of the Internet of ThingsCommission of European Communities
02/11/201531/03/2016Simulació i exploració treball servidorsINDRA BPO SERVICIOS SLU
30/10/201501/05/2017Pla de creixement INLABACC10
21/10/201520/10/2016Treballs per a l'evolució del mòdul SITMUN per a la gestió d'incidències a la via pública per l'èrea de territori i sostenibilitat. (EXPT. 206). Núm. Expedient: 2015/5904Diputació de Barcelona
01/10/201525/11/2016Desenvolupament de l'aplicació TCQGMAFUND.INST.TECN.CONSTRUC.CATAL. ITEC
01/10/201523/09/2016Projecte CitEffectCENTRO TÉCNICO DE SEAT
01/10/201525/11/2016Conveni de col·laboració entre la Universitat Politècnica de Catalunya i Institut de Tecnologia de la construcció per al desenvolupament de l’aplicació TCQGMAITEC - Institut de Tecnologia de la Construcció de Catalunya
01/09/201531/08/2019Secure Management Platform for Shared Process Resources (SHAREBOX)Commission of European Communities
01/09/201531/12/2017Assesorament i analisis estadist IMIMFUNDACIÓ IMIM
31/07/201530/07/2016Studying the advantages of ultra-postponement with 3D printingACCENTURE TECHNOLOGY LABS
06/07/201530/04/2017Desenvolupament projecte SEAT iCitySEAT, S.A.
04/06/201531/12/2015Formación en los conocimientos y habilidades que caracterizan a los Green Belts de los programas de mejora Lean Seis Sigma y Coaching de sus respectivos proyectos de mejoraGYD IBÉRICA, S.A. UNIPERSONAL
01/06/201501/12/2015Gestió de la formació del sistema d'ensenyament de la GeneralitatAVENSEI SYSTEM, S.L.
22/05/201531/12/2015Sponsorització 2015 ENBIS Spring MeetingEU.NETW. BUSIN. AND IND.STATISTICS
01/05/201501/11/2018Information technologies for shift to railCommission of European Communities
15/04/201504/05/2022Suport a Seidor per concurs UOCSBS SEIDOR, S.L.
01/01/201531/12/2017Un recomendador inteligente de dietas personalizadas desde la observación integrada de las características, hábitos y condiciones de las personas (Diet4You)MIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201530/11/2017Robustez, recuperación y adaptabilidad de sistemas de transporte públicoMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201531/12/2018Barcelona Graduate School of MathematicsMinisterio de Economia y Competitividad
28/04/201430/04/2017Build a new Energy Renovation Strategy around the MediterraneanInstitut de Recerca en Energia de Catalunya (IREC)
01/09/201230/06/2015Erasmus Mundus Joint Doctorate Programme in Information Technologies for Business Intelligence - Doctoral CollegeUniversitat Politècnica de Catalunya
29/04/200430/06/2018ASSAJOS CLÍNICS VIH/SIDAFUNDACIÓ LLUITA CONTRA LA SIDA (duplicat 0000003656)

Quality

The Validation, Monitoring, Modification and Accreditation Framework (VSMA Framework) for official degrees ties the quality assurance processes (validation, monitoring, modification and accreditation) carried out over the lifetime of a course to two objectives—the goal of establishing coherent links between these processes, and that of achieving greater efficiency in their management—all with the overarching aim of improving programmes.

Validation

Monitoring

Accreditation

    Registry of Universities, Centers and Degrees (RUCT)

    Indicators

    Up