Statistics and Operations Research

COORDINATOR

Perez Casany, Marta

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 68 80
doctorat.eio@upc.edu

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.

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 four years, counted from the date of first enrolment in the relevant programme until the date on which the doctoral thesis is deposited. 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 seven years from the date of first enrolment in the programme until the date on which the doctoral thesis is deposited. To calculate these periods, the date of deposit is considered to be the date on which the thesis is made publicly available for review.

If a doctoral candidate has a degree of disability equal to or greater than 33%, the maximum period of study is six years for full-time students and nine years for part-time students.

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 requirement to complete this minimum period of study.

Temporary disability leave and leave for the birth of a child, adoption or fostering for the purposes of adoption, temporary foster care, risk during pregnancy or infant feeding, gender violence and any other situation provided for in current regulations do not count towards these periods. Students who find themselves in any of these circumstances must notify the academic committee of the doctoral programme, which must inform the Doctoral School.

Doctoral candidates may request periods of temporary withdrawal from the programme for up to a total of two years. Requests must be justified and addressed to the academic committee responsible for the programme, which will decide whether or not to grant the candidate's request.

Extension of studies
If a doctoral candidate has not applied to deposit their thesis before the expiry of the deadlines specified in the previous section, the academic committee of the doctoral programme may, at the request of the doctoral candidate, authorise an extension of this deadline of one year under the conditions specified for the doctoral programme in question.

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 doctoral candidate not having completed their annual enrolment or applied for a temporary interruption.
  • The doctoral candidate not having formalised annual enrolment on the day after the end of the authorisation to temporarily interrupt or withdraw from the programme.
  • The doctoral candidate receiving a negative reassessment after the deadline set by the academic committee of the doctoral programme to remedy the deficiencies that led to a previous negative assessment.
  • The doctoral candidate having been the subject of disciplinary proceedings leading to their suspension or permanent exclusion from the UPC.
  • A refusal to authorise the extensions applied for, in accordance with the provisions of Section 3.3 of these regulations.
  • The doctoral candidate not having submitted the research plan in the period established in Section 8.2 of these regulations.
  • The maximum period of study for the doctoral degree having ended, in accordance with the provisions of Section 3.4 of these regulations.

Dismissal from the programme means that the doctoral candidate cannot continue studying at the UPC and that their academic record will be closed. This notwithstanding, they may apply to the academic committee of the programme for readmission, and the committee must reevaluate the candidate in accordance with the criteria established in the regulations.

A doctoral candidate who has been dismissed due to having exceeded the time limit for completing doctoral studies or due to an unsatisfactory assessment may not be Academic Regulations for Doctoral Studies Universitat Politècnica de Catalunya Page 17 of 33 admitted to the same doctoral programme until at least two years have elapsed from the date of dismissal, as provided for in sections 3.4 and 9.2 of these regulations.

Legal framework

Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
STRUCTURAL UNITS:
  • Department of Statistics and Operations Research (PROMOTORA)
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 68 80
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

As a rule, 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).

Applicants who meet one or more of the following conditions are also eligible for admission:

a) Holders of official Spanish degrees or equivalent Spanish qualifications, provided they have passed 300 ECTS credits in total and they can prove they have reached Level 3 in the Spanish Qualifications Framework for Higher Education.
b) Holders of degrees awarded in foreign education systems in the European Higher Education Area (EHEA), which do not require homologation, who can prove that they have reached Level 7 in the European Qualifications Framework, provided the degree makes the holder eligible for admission to doctoral studies in the country in which it was awarded.
c) Holders of degrees awarded in a country that does not belong to the EHEA, which do not require homologation, on the condition that the University is able to verify that the degree is of a level equivalent to that of official university master's degrees in Spain and that it makes the holder eligible for admission to doctoral studies in the country in which it was awarded.
d) Holders of another doctoral degree.
e) Holders of an official university qualification who, having been awarded a post as a trainee in the entrance examination for specialised medical training, have successfully completed at least two years of training leading to an official degree in a health sciences specialisation.

Note 1: Regulations for access to doctoral studies for individuals with degrees in bachelor's, engineering, or architecture under the system prior to the implementation of the EHEA (CG 47/02 2014).

Note 2: Agreement number 64/2014 of the Governing Council approving the procedure and criteria for assessing the academic requirements for admission to doctoral studies with non-homologated foreign degrees (CG 25/03 2014).

Legal framework

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

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 maximum period of study for full-time doctoral studies is four years, counted from the date of first enrolment in the relevant programme until the date on which the doctoral thesis is deposited. 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 seven years from the date of first enrolment in the programme until the date on which the doctoral thesis is deposited. To calculate these periods, the date of deposit is considered to be the date on which the thesis is made publicly available for review.

If a doctoral candidate has a degree of disability equal to or greater than 33%, the maximum period of study is six years for full-time students and nine years for part-time students.

If a doctoral candidate has not applied to deposit their thesis before the expiry of the deadlines specified in the previous section, the academic committee of the doctoral programme may, at the request of the doctoral candidate, authorise an extension of this deadline of one year under the conditions specified for the doctoral programme in question.

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 doctoral candidate not having completed their annual enrolment or applied for a temporary interruption.
  • The doctoral candidate not having formalised annual enrolment on the day after the end of the authorisation to temporarily interrupt or withdraw from the programme.
  • The doctoral candidate receiving a negative reassessment after the deadline set by the academic committee of the doctoral programme to remedy the deficiencies that led to a previous negative assessment.
  • The doctoral candidate having been the subject of disciplinary proceedings leading to their suspension or permanent exclusion from the UPC.
  • A refusal to authorise the extensions applied for, in accordance with the provisions of Section 3.3 of these regulations.
  • The doctoral candidate not having submitted the research plan in the period established in Section 8.2 of these regulations.
  • The maximum period of study for the doctoral degree having ended, in accordance with the provisions of Section 3.4 of these regulations.

Dismissal from the programme means that the doctoral candidate cannot continue studying at the UPC and that their academic record will be closed. This notwithstanding, they may apply to the academic committee of the programme for readmission, and the committee must reevaluate the candidate in accordance with the criteria established in the regulations.

A doctoral candidate who has been dismissed due to having exceeded the time limit for completing doctoral studies or due to an unsatisfactory assessment may not be Academic Regulations for Doctoral Studies Universitat Politècnica de Catalunya Page 17 of 33 admitted to the same doctoral programme until at least two years have elapsed from the date of dismissal, as provided for in sections 3.4 and 9.2 of these regulations.

Legal framework

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

  • GROTTO, ANDREA: Optimal transition towards zero tailpipe emission mobility in urban and suburban areas
    Author: GROTTO, ANDREA
    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
    Deposit date: 01/10/2025
    Reading date: 18/12/2025
    Reading time: 11:00
    Reading place: FIB Sala d'actes Manuel Martí Recober B6-planta 0
    Thesis director: FONSECA CASAS, PAU | ZUBARYEVA, ALYONA
    Thesis abstract: This doctoral research presents an innovative methodological framework for developing Urban Mobility Digital Twins through formalization using the Specification and Description Language (SDL). The study addresses the challenges of urban mobility management in the context of digital transformation and Society 5.0 principles, where technology serves human needs rather than the opposite.The research combines SUMO with its integrated SAGA module, formalized through SDL to enable conceptual model validation by stakeholders. This methodology enables continuous validation of digital twin models through real-time data integration from Internet of Things sensors and traffic monitoring systems distributed throughout urban networks.The conceptual model is demonstrated through a proof-of-concept implementation in Bolzano City. In this implementation, the BSc block integrates activity-based modelling with microscopic traffic simulation, with multi-objective optimization across energy consumption, CO2 emissions, and urban traffic congestion criteria. As an example, the implementation focuses on electric vehicle adoption optimization scenarios.The research is conducted in collaboration with Urban Resilience, a company developing SUMOSU sustainable mobility hubs that integrate electric charging infrastructure, shared vehicles, and photovoltaic renewable energy systems. This collaboration demonstrates the framework's practical applicability in evaluating integrated and sustainable mobility solutions.Additionally, comprehensive validation protocols are developed and formalized through SDL, including specific procedures for data validation, operational validation, experimental validation based on Design of Experiments methodology, and solution validation. These protocols ensure systematic and reproducible validation processes across different environmental and seasonal conditions.Main contributions include: development of a conceptual model for Urban Mobility Digital Twins facilitating stakeholder communication regardless of technical background; establishment of continuous validation protocols distinguishing true Digital Twins from static simulation models; integration of mobility and energy systems within a unified framework supporting sustainability evaluations; alignment with Society 5.0 principles by transforming complex technical systems into accessible decision-making tools.The research establishes methodological foundations for connecting Urban Mobility Digital Twins with other urban digital twins or models through common formalization approaches. This enables analysis of complex urban interactions while maintaining human-centered technological development through the conceptual model that expresses what is contained within the Digital Master of the Digital Twin.Results demonstrate that the formalization successfully creates a common language for urban mobility stakeholders, enabling effective collaboration between diverse professional domains and facilitating the adoption of sustainable technologies in urban contexts.

Last update: 15/12/2025 05:46:08.

List of lodged theses

NO RESULTS: there are no theses in this list.

Last update: 15/12/2025 05:31:30.

List of defended theses by year

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  • BLANC BLOCQUEL DI MARCO, AUGUSTO: Derivatives and risks
    Author: BLANC BLOCQUEL DI MARCO, AUGUSTO
    Thesis link: http://hdl.handle.net/10803/695072
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 03/06/2025
    Thesis director: ORTIZ GRACIA, LUIS

    Committee:
         PRESIDENT: ALÓS ALCALDE, ELISA
         SECRETARI: ARRATIA QUESADA, ARGIMIRO ALEJANDRO
         VOCAL: VIVES I SANTA-EULÀLIA, JOSEP
    Thesis abstract: This thesis aims to provide solutions to real world problems by the use and development ofstate-of-the-art quantitative finance techniques. The first part of this work tackles the challenge of digital options hedging, particularly, at the-money digital options near maturity. The problem stems from the fact that a digitaloption has a discontinuous payoff at the strike price and has a huge delta and gamma nearexpiration. This problem is well-known among practitioners and academics. In this work, weconsider a general setting for hedging at-the-money digital options near maturity by meansof a bull spread. We solve different optimization problems, with the aim of minimizing theprobability of sub-hedging the digital option at maturity, considering transaction costs andilliquidity issues. Our contribution consists in the fact that we determine the compositionof the bull spread that minimizes the probability of sub-hedging a digital option given thatthe cost of hedging is below a certain threshold. We consider traditional and state-of-the-artmodels for driving the dynamics of the underlying asset. We also introduce the modelingof the illiquidity issue in the optimization problem, and solve that optimization problem.Finally, we calibrate one model to real market data and solve the optimization problem withtransaction costs with the calibrated model.In the second part of this work we intend to create financial tools to fight against climatechange. Over the last five years there have been increasing concerns about the impact ofcryptocurrency mining on climate. One of the main effects of climate change is its impacton agriculture and food production. In addition, climate change has clear consequencesfor human health. We propose novel bitcoin-denominated derivatives contracts on carbonbonds to address this problematic. This paper creates novel financial products which couldhelp the regulatory authorities impact the climate in an indirect fashion, agglutinating twodesired financial outcomes (hedging and volatility transfer) in a single financial instrument.Particularly, the instrument can be used by governments to hedge against climate change andinfluence the prices of carbon bonds and cryptocurrencies. In order to price this product, wedevelop novel parameter estimation techniques based on Shannon wavelets.The third part of this work also revolves around climate change, finance and mathematics.In this work we put forward a methodology to calculate the impact of an increase of the earth’sglobal surface temperature on the probability of default of a company from the agriculturesector. Extreme temperatures have a negative impact on asset prices in all sectors. Weperform a regression of firm’s stock value with predictors S&P 500 and temperature anomaliesand observe that an increase of temperature anomalies has a negative impact on the stockof the firm considered in this work. When modelling temperature anomalies time series it isimportant to identify points in time where a significant change occurs in the behaviour of thedata. These points are called breakpoints. Then, we model the time series of temperatureanomalies by means of segmented linear regression, where the breakpoints are estimatedby means of a wavelet analysis. We calibrate a Merton model with real stock data of thecompany and estimate the probability of default based on the probability that the assetvalue of the firm is below the liabilities level. We proceed to use the regression model toforecast future values of the firm’s stock influenced by the predicted temperature anomaliesand estimate a new probability of default.

  • MAUREIRA ALEGRÍA, GRACE KELLY: A Multi-Objective Integer Programming approach for synergistic Tenant Mix optimization in shopping centers
    Author: MAUREIRA ALEGRÍA, GRACE KELLY
    Thesis link: http://hdl.handle.net/10803/694309
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 24/03/2025
    Thesis director: HEREDIA CERVERA, FRANCISCO JAVIER

    Committee:
         PRESIDENT: HASHEMKHANI ZOLFANI, SARFARAZ
         SECRETARI: SOLÀ VILALTA, ALBERT
         VOCAL: GARCIA GONZALEZ, JAVIER
    Thesis abstract: A shopping center's profitability is significantly influenced by its Tenant Mix, which refers to the strategic combination and placement of different retail categories within the center. However, selecting the optimal Tenant Mix has traditionally been based on experience and intuition rather than data-driven approaches. This study addresses this gap by developing a systematic, data-driven optimization model aimed at maximizing profitability through optimal tenant placement.The methodology used in this research involves the development of a Multi-Objective Integer Programming model. This optimization model aims to maximize the combination of three components in its objective function: rental income, sales revenues, and tenant synergy. Constraints are related to the leasable area available for each retail category and the synergistic configuration influencing tenant placement. The data analyzed comes from 27 shopping centers managed by CBRE Spain, covering the period from 2015 to 2022, with the exclusion of 2020 due to the temporary closure of shopping centers during the COVID-19 pandemic.In order to incorporate rental income into the optimization model's objective function, a semi-log regression model was developed. The model considers the monthly rent per square meter as the dependent variable and factors such as store size, store location, tenant category, tenant’s sales per square meter, anchor status, distance to the nearest anchor, and shopping center type as independent variables. The empirical analysis identified that store size, location, anchor status, and retail category significantly affect rental rates. Notably, stores on lower floors tend to command higher rental rates compared to those on upper floors, while the distance to the nearest anchor tenant does not significantly affect rental values.One of the key contributions of this research is the incorporation of tenant synergy into the optimization model, which captures the beneficial interactions between neighboring tenant categories. By analyzing historical data from the 27 shopping centers, specific configurations of neighboring retail categories were identified as having the potential to enhance sales revenues. These configurations were scored based on their impact on sales, and the model aims to maximize these synergy scores, along with rental income and sales revenues, to achieve the most profitable Tenant Mix.The optimization model was applied to six shopping centers: one from each cluster, with one analyzed in greater depth. Three scenarios were evaluated: "Last Layout," "Only Vacancies," and "From Scratch." In all scenarios, the model used 50 combinations of weighted objectives, producing a three-dimensional Pareto frontier. In the "Last Layout" scenario, the model was applied only to the occupied units in the latest tenant configuration (as of December 2022). For smaller centers, rent and sales were lower, but synergy improved, while larger centers saw overall gains in rent, sales, and synergy.In the "Only Vacancies" scenario, the model optimized unoccupied units, keeping the current Tenant Mix unchanged. Results confirmed that the synergistic configurations derived from historical layouts provided optimal solutions, demonstrating the model's flexibility. The "From Scratch" scenario involved a complete reconfiguration, with rent and sales remaining stable across the 50 combinations but greater variability in synergy. This scenario offers strategic insights for landlords aiming to reimagine Tenant Mix for improved financial performance and synergy.The encouraging results highlight the model’s practical utility and strategic potential for retail space management, making it a reliable tool for optimizing the Tenant Mix in shopping centers. Landlords can leverage the insights from this model to make informed decisions about tenant selection and placement that align with their long-term objectives.

  • PACHÓN GARCIA, CRISTIAN: Contributions on dimensionality reduction and interpretable machine learning
    Author: PACHÓN GARCIA, CRISTIAN
    Thesis link: http://hdl.handle.net/10803/694503
    Programme: DOCTORAL DEGREE IN STATISTICS AND OPERATIONS RESEARCH
    Department: Department of Statistics and Operations Research (EIO)
    Mode: Normal
    Reading date: 08/05/2025
    Thesis director: DELICADO USEROS, PEDRO FRANCISCO

    Committee:
         PRESIDENT: BIECEK, PRZEMYSLAW
         SECRETARI: FERNÁNDEZ MARTÍNEZ, DANIEL
         VOCAL: GARCÍA PORTUGUÉS, EDUARDO
    Thesis abstract: This thesis is divided into two parts. The first one is devoted to dimensionality reduction for large data sets, while the second one focuses on the field of Interpretable Machine Learning. Part of the material presented in this thesis has been published either in journals or workshops. Concretely, the original work of Chapter 1 can be found in Delicado and Pachón-García (2024a). Regarding Chapter 3, the original publication is Pachón-García et al. (2024) and the material of Chapter 4 is Hernández-Pérez et al. (2024). Finally, Chapter 5 is intended to be sent to a journal, but Delicado and Pachón-García (2024b) is a preprint version.To begin with, we present a set of algorithms implementing multidimensional scaling (MDS) for large data sets. MDS is a family of dimensionality reduction techniques using a n×n distance matrix as input, where n is the number of individuals, and producing a low dimensional configuration: a n × r matrix with r << n. When n is large, MDS is unaffordable with classical MDS algorithms because their extremely large memory and time requirements. We compare six non-standard algorithms intended to overcome these difficulties. They are based on the central idea of partitioning the data set into small pieces, where classical MDS methods can work. Two of these algorithms are original proposals. In order to check the performance of the algorithms as well as to compare them, we have done a simulation study. In addition, an open-source R package implementing the algorithms has been created.Regarding the field of machine learning (ML), it is worth noting that its presence in our society is increasing, which brings with it the need to understand the behaviour of ML mechanisms, including machine learning predictive algorithms fed with tabular data, text, or images, among other types of data. Therefore, this thesis focuses on the problem of interpretability. On the one hand, we present SurvLIMEpy, an open-source Python package that implements the SurvLIME algorithm. This method allows to compute local feature importance for machine learning algorithms designed for modelling Survival Analysis data. The presented implementation uses a matrix-wise formulation, which allows to speed up the execution time. Additionally, SurvLIMEpy assists the user with visualisation tools to better understand the result of the algorithm. The package supports a wide variety of survival models, from the Cox Proportional Hazards Model to deep learning models such as DeepHit or DeepSurv. We study the ability of the algorithm to capture the importance of the features by means of a simulation study.With the goal of employing SurvLIMEpy, we train and compare three types of machine learning algorithms for Survival Analysis: Random Survival Forest, DeepSurv and DeepHit, using the SEER database to model cutaneous malignant melanoma. Our work underscores the importance of explainability methods for interpreting black-box models and provides insights into important features related to melanoma prognosis.On the other hand, we consider the field of Functional Data Analysis in order to provide it with interpretability tools. Designing interpretability methods for functional data models implies working with a set of features whose size is infinite. In the context of scalar on function regression, we propose an interpretability method based on the Shapley value for continuous games, a mathematical formulation that allows to fairly distribute a global payoff among a continuous set players. The method is illustrated through a set of experiments with simulated and real data sets. The open source Python package ShapleyFDA is also presented.

Last update: 15/12/2025 06:05:07.

Theses related publications

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Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/01/202431/12/2026RACE Plus: AI-driven application to allow pre-hospital diagnosis and management of stroke patientsFundació La Caixa
10/11/202301/03/2024Programari per anàlisi estadística i realització automàtica d'informesDATANCIA, S.L.
02/10/202331/07/2024Formació, implementació i seguiment de projectes. Programa Lean Sis Sigma Green BeltDIAGNOSTIC GRIFOLS, SA
01/09/202331/08/2026Investigación para la impresión 3D de compuestos aislantes de FRCM para cerramientos inteligentes en edificaciónAGENCIA ESTATAL DE INVESTIGACION
01/09/202331/08/2026Modelización y Optimización de Problemas Estructurados y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
17/07/202323/07/2025Disseny de les estructures de dades i repositori comú amb mixtura d'estratègia centalitzada federadaImplementació d'iuna capa intel.ligent de dadesPilot a Vall d'AranFUNDACIO TICSALUT
01/07/202330/06/2024Low cost building solutions based on earth and vegetal fibers for developing countriesCentre de Cooperació per al Desenvolupament de la UPC
31/03/202331/03/2023Method for obtaining textile yarns from lignocellulosic wastes or by-products and fabric obtained by the method
29/03/202329/12/2023Reinforcement learning per water managementCETAQUA
21/03/202322/03/2023Patrocini de la jornada d'entrega de premis del programa Top Secret Rosies. Direcció general de Societat Digital (Resolució d'adjudicació EMO-2023-245).GENERALITAT DE CATALUNYA
09/02/202301/11/2023Recerca-diagnòstic sobre la Diversitat en la Intel·ligència Artificial a Catalunya. Departament d'Igualtat i Feminisme de la Generalitat (Resolució d’adjudicació IF-2023-39).GENERALITAT DE CATALUNYA
26/01/202326/01/2023Quick sequence detection
16/01/202321/04/2023Projecte d'R+D per a la detecció de patrons de comportament per a sistemes de Qualitat aplicats a la indústriaKAPTURE INTELLIGENCE, S.L.
01/01/202331/12/2025Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025Xarxa d’Innovació de Noves Tecnologies en Salut MentalAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025HUB D'INNOVACIÓ PEDIÀTRICAFondo Europeo de Desarrollo Regional
23/12/202231/12/2023ASISTENTE INTELIGENTE PARA LA GESTIÓN DE UNA PLANTA DE TRATAMIENTO DE AGUAS QUE OPTIMICE LA GESTIÓN DE FANGOS ACTIVADOS ENTRE EL CENTRO DE INVESTIGACIÓN EN CIENCIA INTELIGENTE DE DATOS E INTELIGENCIACETAQUA
22/12/202222/12/2025 IA a la transformació digitalFUNDACIÓ i2CAT
12/12/202231/03/2024Contracte de col.laboració per a realitzar un nou sistema de diseny de matriusSYMYB, SL
01/12/202230/11/2024Reciclado de residuos textiles como materias primas secundarias para su gestión circular que evite su dispersión en el medio ambiente y contribuya a la transición ecológicaAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Participación multi-mercado unificada de las comunidades de energía en el mercado de elecricidadAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/20243D slag concrete manufacturing solutions for marine biotopesAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Nueva metodología de apoyo a la rehabilitación energética de edificios. Incorporación del análisis de sensibilidad e incertidumbre en la definición del parque edificadoAGENCIA ESTATAL DE INVESTIGACION
21/11/202223/02/2023CISCO hará una aportación única a la UPC para ser destinados al programa de generación de talento femenino en Inteligencia Artificial de nombre Top Rosies Talent ycon dedicación especial a la línea dCISCO SYSTEMS (SPAIN) SL
01/11/202201/12/2022Cápsulas inspiracionales programa Apuesta por las TICGeneralitat de Catalunya (GenCat); FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
19/10/202218/04/2024Obtenció de fibres de cànem a partir de subproductes agrícoles per una moda sostenibleAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
17/10/202231/07/2023Contracte de col.laboració per a la realització del projecte de disseny i desenvolupament de 4 procediments CLS (Clinical Laboratory Standards) per l’empresa Werfen, client de Datancia.DATANCIA, S.L.
01/09/202231/08/2026Datos de Conteo: Métodos Bayesianos y ComposicionalesAGENCIA ESTATAL DE INVESTIGACION
01/09/202220/02/2024Programa de generació de talent femení en IAFUNDACIO BARCELONA MOBILE WORLD CAP
12/07/202212/07/2022Software: Conceptual Map automated construction
01/07/202231/12/2024Sistema constructivo híbrido poliurea-hormigón para seguridad en conservación de pasos de bajo gálibo SAFEPASSAZVI, S.A.
31/05/202231/01/2023Contracte de formació de personal com Green Belt de la metodologia Sis Sigma i seguiment dels projectes de millora derivatsDIAGNOSTIC GRIFOLS, SA
01/05/202230/04/2025Catalonia Digital Innovation (DIH4CAT)European Commission
01/05/202230/04/2025Catalonia Digital Innovation Hub (DIH4CAT)DIRECTORATE-GENERAL FOR COMMUNIC.
23/04/202231/12/2022Donació pel congrés ACAI-2022¿EurAI
23/04/202231/12/2022Donació pel curs ACAI-2022Artificial Intelligence Journal
01/04/202231/03/2025Ensure fair NEXUS transition for climate change adaptation and sustainable development implementation based on coupled nature-based systems and bioeconomyEuropean Commission
01/04/202231/12/2024Impacte multidimensional immediat i diferit de la sindèmia SARS-COV2 en la salut comunitària: análisi i modelització en la població atesa a CAPSBE durant el periode 2020-2024GENERALITAT DE CATALUNYA
01/01/202231/12/2022New Trends on Urban MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202201/03/2023Top Rosies TalentDIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U .
01/12/202101/12/2021CompARE
24/11/202130/10/2022Desarrollo de un Sistema Experto de Soporte a la Decisión en el uso de Antimicrobianos. Net Antimicrobial Stewardship Program (NASP)ROCHE DIAGNOSTICS, S.L.
06/10/202131/12/2021Suport estadístic de la fase final del Project Epiconcept (PERTINENT) de vigilància europeu: Setting up a sentinel system to assess the burden of whooping cough in EU/EEAGENCAT-DEPARTAMENT DE SALUT
27/09/202130/04/2022Ampliació del contracte de col·laboració per el projecte Illa EficientCOOPIE, S.C.C.L. EN CONSTITUCIÓN
27/09/202131/12/2023Estudi de seguretat d'un fàrmacFERRER INTERNACIONAL,S.A.
01/09/202131/08/2024Estadística avanzada y Ciencia de Datos: Interpretando modelos caja-negra y analizando conjuntos de datos grandes y complejosAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2025Integración de Modelos de Optimización y Aprendizaje Artificial para Planificación y Gestión de Sistemas de Transporte Ferroviario y Movilidad UrbanaAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Obtención de prótesis para sustitución de tejido óseo mediante impresión 3D por extrusión y posterior sinterizadoAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas.AGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024artificial Intelligence threat Reporting and Incident response SystemEuropean Commission
31/08/202131/08/2021Software TP2TD: Text processing pipeline for topic-discovery
01/08/202115/03/2024Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
30/07/202130/07/2024Proyecto ADRIANO: Desarrollo de una tecnología de construcción 4.0 basda en la impresión 3DAgència per la Competitivitat de l'Empresa (ACCIÓ)
01/07/202131/12/2022Tres procediments per BiokitDATANCIA, S.L.
01/07/202130/06/2022STAT WARS (EPISODIO II): EL IMPERIO DE LOS DATOSFundación Española para la Ciencia y la Tecnología (Fecyt)
15/06/202115/06/2021CompAREdesign
01/06/202101/03/2023AI for TourismCentre of Innovation for Datatech and Artificial Intelligence
14/05/202113/11/2022Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient managementAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/04/202131/03/2024Servei de suport estadístic per a la Fundació Institut Hospital del Mar d’Investigacions Mèdiques (exp. 05/2021-SE-POS)FUNDACIÓ IMIM
01/04/202131/03/2022EIT-UM-2021-21114- Multi-operator tool for managing Demand rEsPonsive trAnspoRTEUROPEAN INST OF INNOV.& TECHNOL.
01/03/202131/08/2022Estudi sobre el rol de l'enginyeria i els enginyers a Espanya en el context del “Observatorio de la Ingeniería”COL.LEGI OF.ENG.INDUST. CATALUNYA
01/02/202131/01/2024Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalanaFUNDACIÓ i2CAT
01/01/202131/12/2023CVS-Q©teen: Frecuencia del Síndrome Visual Informático en adolescentes y su relación con el uso de libros de textos en soporte digitalInstituto de Salud Carlos III
01/01/202131/12/2021«REDES DE INVESTIGACIÓN EN CIENCIAS DEL DEPORTE»: Género y Ciencia de Datos en Deporte y SaludGobierno de España. Ministerio de Educación, Política Social y Deporte (Mepsyd). Dirección General Programas y de Transferencia de Conocimiento (Dgptc)
01/01/202101/04/2022Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiènciaCentre of Innovation for Data tech and Artificial Intelligence
01/12/202031/10/2021CiutadanIA: Intel·ligència Artificial per a tothomGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
01/10/202001/12/2020CCT 2020/KG-06: I què hi diuen les dones al Robert? (Que-Robert)Palau Robert
07/09/202006/09/2024Modelos de optimización matemática en la gestión deAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/09/202031/08/2021Interpretació del topic modelling en dades textualsUniversitat Politècnica de Catalunya
31/08/202031/08/2020Software Browser-data collection-scenario simulation
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
30/07/202030/12/2020Knowledge Adaptive Recommender for Intelligent NutritionCUBE TECHNOLOGY INNOVATION,S.L.
09/07/202015/01/2021PRimera fase del projecte KARIN Desenvolupament del mòdul de distàncies semàntiques pel recomanador d'alimentsCUBE TECHNOLOGY INNOVATION,S.L.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2022Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM)Fondos FEDER
01/07/202030/09/2021STAT WARS (EPISODIO I): EL IMPERIO DE LOS DATOSFundación Española para la Ciencia y la Tecnología (Fecyt)
01/06/202031/12/2020OPTIMITZACIÓ 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 les seves activitats.GALENICUM HEALTH, S.L.
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
01/04/202031/01/2021Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territoriUniversitat Politècnica de Catalunya
03/03/202031/12/2022Hub d'Innovació PediàtricaFondos FEDER
01/03/202031/12/2022Centre de Recerca i Transferència en Salut Mental (CRETSAM)Fondos FEDER
17/02/202017/02/2021Formació sistema ATTEINSTITUT MUNICIPAL DE PERSONES AMB
03/02/202030/11/2020Desenvolupament projecte de recerca: “Modelització de la demanda per l’avaluació del PDU”Centre d'Innovació Tecnològica UPC
20/01/202019/01/2022Consultoria desarrollo tratamiento trombolíticoAPTATARGETS S.LU.
01/01/202031/12/2022Localización y problemas afinesAGENCIA ESTATAL DE INVESTIGACION
01/01/202030/04/2023intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industryCommission of European Communities
01/01/202030/04/2023Intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industry data economyCommission of European Communities
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
01/01/202031/12/2020an Off-Street parking floating CARsharing serviceEUROPEAN INST OF INNOV.& TECHNOL.
18/12/201930/09/2023A 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
01/10/201931/12/2021Participació en el projecte HYBRIDCONCOMAZVI, S.A.
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
01/09/201928/02/2023GAVIUS: from reactive to proactive public administrationsCommission of European Communities
01/09/201930/11/2019Cross KIC-Human Capital 2019: EDU HackathonEUROPEAN INST OF INNOV.& TECHNOL.
01/09/201930/06/2020Meet-Up Inclusió. 3a EdicióUniversitat Politècnica de Catalunya
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
12/07/201912/01/2022REDUVE Refuerzo de estructuras frente a acciones dinámicas con compuestos de malla vegetalAZVI, S.A.
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
05/06/201902/09/2020I+D Desarrollo Data LakeADQUIVER MEDIA, SL
01/06/201931/12/2021Digitalization on Power Generation in the field of Data Analytics and Artificial Intelligence, para la aplicaci´on industrial de t´ecnicas de IA a la producci´on y gesti´on de turbinas de gasSiemens
31/05/201930/05/2021Desarrollo de un sistema de generación de energía eléctrica mediante generadores piezoeléctricos integrados en carreterasSORIGUE, S.A.
27/05/201931/03/2021UNIQUE: UNIversal QUantification join-graphs for sql assErtionsOracle Corporation
15/05/201931/12/2019Sponsorització 2019 ENBIS MeetingEU.NETW. BUSIN. AND IND.STATISTICS
14/05/201931/10/2020METRICS: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.
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201931/12/2022Modelización y Optimización de Problemas Estructurados de Gran Escala y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/09/2022Integración de CMOS-MEMS avanzados para sistemas de nueva generación a escala milimétricaAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/09/2022Modelización Computacional de Procesos Biofísicos en Múltiples EscalasAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Modelo predictivo de supervivencia poblacional del cáncer de mama según el estadio, el subtipo molecular en el momento del diagnóstico y la adherencia al tratamientoInstituto de Salud Carlos III
01/01/201901/08/2021Data Science for Gender Gap (DSGG)Pendent per manca de dades
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201931/12/2021Master's Degree in Urban MobilityEuropean Institute for Innovation and Technology
01/01/201931/12/2021Summer schools and team buildingEuropean Institute for Innovation and Technology
01/01/201931/12/2019identificación de perfiles de consumo de servicios sanitarios en el estado de Nueva Gales, AustraliaAustralian National University
01/01/201931/12/2019Analysis of case management in Australia through Clustering Based on Rules and data science approachVisual and Decision Analytics
28/05/200931/03/2022CARACTERITZACIÓ DE LA BOSSA TIPUS DE CATALUNYAAGENCIA DE RESIDUS DE CATALUNYA
02/02/200931/12/2025R+D CARTOGRAFIA VIRTUAL DEL TARRAGONÉS EN L'ÀMBIT DEL TURISMECLIENTS DIVERSOS
29/04/200401/12/2021ASSAJOS CLÍNICS VIH/SIDAFUNDACIÓ LLUITA CONTRA LA SIDA (duplicat 0000003656)

Teaching staff and research groups

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/01/202431/12/2026RACE Plus: AI-driven application to allow pre-hospital diagnosis and management of stroke patientsFundació La Caixa
10/11/202301/03/2024Programari per anàlisi estadística i realització automàtica d'informesDATANCIA, S.L.
02/10/202331/07/2024Formació, implementació i seguiment de projectes. Programa Lean Sis Sigma Green BeltDIAGNOSTIC GRIFOLS, SA
01/09/202331/08/2026Investigación para la impresión 3D de compuestos aislantes de FRCM para cerramientos inteligentes en edificaciónAGENCIA ESTATAL DE INVESTIGACION
01/09/202331/08/2026Modelización y Optimización de Problemas Estructurados y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
17/07/202323/07/2025Disseny de les estructures de dades i repositori comú amb mixtura d'estratègia centalitzada federadaImplementació d'iuna capa intel.ligent de dadesPilot a Vall d'AranFUNDACIO TICSALUT
01/07/202330/06/2024Low cost building solutions based on earth and vegetal fibers for developing countriesCentre de Cooperació per al Desenvolupament de la UPC
31/03/202331/03/2023Method for obtaining textile yarns from lignocellulosic wastes or by-products and fabric obtained by the method
29/03/202329/12/2023Reinforcement learning per water managementCETAQUA
21/03/202322/03/2023Patrocini de la jornada d'entrega de premis del programa Top Secret Rosies. Direcció general de Societat Digital (Resolució d'adjudicació EMO-2023-245).GENERALITAT DE CATALUNYA
09/02/202301/11/2023Recerca-diagnòstic sobre la Diversitat en la Intel·ligència Artificial a Catalunya. Departament d'Igualtat i Feminisme de la Generalitat (Resolució d’adjudicació IF-2023-39).GENERALITAT DE CATALUNYA
26/01/202326/01/2023Quick sequence detection
16/01/202321/04/2023Projecte d'R+D per a la detecció de patrons de comportament per a sistemes de Qualitat aplicats a la indústriaKAPTURE INTELLIGENCE, S.L.
01/01/202331/12/2025Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025Xarxa d’Innovació de Noves Tecnologies en Salut MentalAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025HUB D'INNOVACIÓ PEDIÀTRICAFondo Europeo de Desarrollo Regional
23/12/202231/12/2023ASISTENTE INTELIGENTE PARA LA GESTIÓN DE UNA PLANTA DE TRATAMIENTO DE AGUAS QUE OPTIMICE LA GESTIÓN DE FANGOS ACTIVADOS ENTRE EL CENTRO DE INVESTIGACIÓN EN CIENCIA INTELIGENTE DE DATOS E INTELIGENCIACETAQUA
22/12/202222/12/2025 IA a la transformació digitalFUNDACIÓ i2CAT
12/12/202231/03/2024Contracte de col.laboració per a realitzar un nou sistema de diseny de matriusSYMYB, SL
01/12/202230/11/2024Reciclado de residuos textiles como materias primas secundarias para su gestión circular que evite su dispersión en el medio ambiente y contribuya a la transición ecológicaAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Participación multi-mercado unificada de las comunidades de energía en el mercado de elecricidadAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/20243D slag concrete manufacturing solutions for marine biotopesAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Nueva metodología de apoyo a la rehabilitación energética de edificios. Incorporación del análisis de sensibilidad e incertidumbre en la definición del parque edificadoAGENCIA ESTATAL DE INVESTIGACION
21/11/202223/02/2023CISCO hará una aportación única a la UPC para ser destinados al programa de generación de talento femenino en Inteligencia Artificial de nombre Top Rosies Talent ycon dedicación especial a la línea dCISCO SYSTEMS (SPAIN) SL
01/11/202201/12/2022Cápsulas inspiracionales programa Apuesta por las TICGeneralitat de Catalunya (GenCat); FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
19/10/202218/04/2024Obtenció de fibres de cànem a partir de subproductes agrícoles per una moda sostenibleAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
17/10/202231/07/2023Contracte de col.laboració per a la realització del projecte de disseny i desenvolupament de 4 procediments CLS (Clinical Laboratory Standards) per l’empresa Werfen, client de Datancia.DATANCIA, S.L.
01/09/202231/08/2026Datos de Conteo: Métodos Bayesianos y ComposicionalesAGENCIA ESTATAL DE INVESTIGACION
01/09/202220/02/2024Programa de generació de talent femení en IAFUNDACIO BARCELONA MOBILE WORLD CAP
12/07/202212/07/2022Software: Conceptual Map automated construction
01/07/202231/12/2024Sistema constructivo híbrido poliurea-hormigón para seguridad en conservación de pasos de bajo gálibo SAFEPASSAZVI, S.A.
31/05/202231/01/2023Contracte de formació de personal com Green Belt de la metodologia Sis Sigma i seguiment dels projectes de millora derivatsDIAGNOSTIC GRIFOLS, SA
01/05/202230/04/2025Catalonia Digital Innovation (DIH4CAT)European Commission
01/05/202230/04/2025Catalonia Digital Innovation Hub (DIH4CAT)DIRECTORATE-GENERAL FOR COMMUNIC.
23/04/202231/12/2022Donació pel congrés ACAI-2022¿EurAI
23/04/202231/12/2022Donació pel curs ACAI-2022Artificial Intelligence Journal
01/04/202231/03/2025Ensure fair NEXUS transition for climate change adaptation and sustainable development implementation based on coupled nature-based systems and bioeconomyEuropean Commission
01/04/202231/12/2024Impacte multidimensional immediat i diferit de la sindèmia SARS-COV2 en la salut comunitària: análisi i modelització en la població atesa a CAPSBE durant el periode 2020-2024GENERALITAT DE CATALUNYA
01/01/202231/12/2022New Trends on Urban MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202201/03/2023Top Rosies TalentDIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U .
01/12/202101/12/2021CompARE
24/11/202130/10/2022Desarrollo de un Sistema Experto de Soporte a la Decisión en el uso de Antimicrobianos. Net Antimicrobial Stewardship Program (NASP)ROCHE DIAGNOSTICS, S.L.
06/10/202131/12/2021Suport estadístic de la fase final del Project Epiconcept (PERTINENT) de vigilància europeu: Setting up a sentinel system to assess the burden of whooping cough in EU/EEAGENCAT-DEPARTAMENT DE SALUT
27/09/202130/04/2022Ampliació del contracte de col·laboració per el projecte Illa EficientCOOPIE, S.C.C.L. EN CONSTITUCIÓN
27/09/202131/12/2023Estudi de seguretat d'un fàrmacFERRER INTERNACIONAL,S.A.
01/09/202131/08/2024Estadística avanzada y Ciencia de Datos: Interpretando modelos caja-negra y analizando conjuntos de datos grandes y complejosAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2025Integración de Modelos de Optimización y Aprendizaje Artificial para Planificación y Gestión de Sistemas de Transporte Ferroviario y Movilidad UrbanaAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Obtención de prótesis para sustitución de tejido óseo mediante impresión 3D por extrusión y posterior sinterizadoAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas.AGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024artificial Intelligence threat Reporting and Incident response SystemEuropean Commission
31/08/202131/08/2021Software TP2TD: Text processing pipeline for topic-discovery
01/08/202115/03/2024Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
30/07/202130/07/2024Proyecto ADRIANO: Desarrollo de una tecnología de construcción 4.0 basda en la impresión 3DAgència per la Competitivitat de l'Empresa (ACCIÓ)
01/07/202131/12/2022Tres procediments per BiokitDATANCIA, S.L.
01/07/202130/06/2022STAT WARS (EPISODIO II): EL IMPERIO DE LOS DATOSFundación Española para la Ciencia y la Tecnología (Fecyt)
15/06/202115/06/2021CompAREdesign
01/06/202101/03/2023AI for TourismCentre of Innovation for Datatech and Artificial Intelligence
14/05/202113/11/2022Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient managementAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/04/202131/03/2024Servei de suport estadístic per a la Fundació Institut Hospital del Mar d’Investigacions Mèdiques (exp. 05/2021-SE-POS)FUNDACIÓ IMIM
01/04/202131/03/2022EIT-UM-2021-21114- Multi-operator tool for managing Demand rEsPonsive trAnspoRTEUROPEAN INST OF INNOV.& TECHNOL.
01/03/202131/08/2022Estudi sobre el rol de l'enginyeria i els enginyers a Espanya en el context del “Observatorio de la Ingeniería”COL.LEGI OF.ENG.INDUST. CATALUNYA
01/02/202131/01/2024Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalanaFUNDACIÓ i2CAT
01/01/202131/12/2023CVS-Q©teen: Frecuencia del Síndrome Visual Informático en adolescentes y su relación con el uso de libros de textos en soporte digitalInstituto de Salud Carlos III
01/01/202131/12/2021«REDES DE INVESTIGACIÓN EN CIENCIAS DEL DEPORTE»: Género y Ciencia de Datos en Deporte y SaludGobierno de España. Ministerio de Educación, Política Social y Deporte (Mepsyd). Dirección General Programas y de Transferencia de Conocimiento (Dgptc)
01/01/202101/04/2022Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiènciaCentre of Innovation for Data tech and Artificial Intelligence
01/12/202031/10/2021CiutadanIA: Intel·ligència Artificial per a tothomGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
01/10/202001/12/2020CCT 2020/KG-06: I què hi diuen les dones al Robert? (Que-Robert)Palau Robert
07/09/202006/09/2024Modelos de optimización matemática en la gestión deAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/09/202031/08/2021Interpretació del topic modelling en dades textualsUniversitat Politècnica de Catalunya
31/08/202031/08/2020Software Browser-data collection-scenario simulation
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
30/07/202030/12/2020Knowledge Adaptive Recommender for Intelligent NutritionCUBE TECHNOLOGY INNOVATION,S.L.
09/07/202015/01/2021PRimera fase del projecte KARIN Desenvolupament del mòdul de distàncies semàntiques pel recomanador d'alimentsCUBE TECHNOLOGY INNOVATION,S.L.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2022Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM)Fondos FEDER
01/07/202030/09/2021STAT WARS (EPISODIO I): EL IMPERIO DE LOS DATOSFundación Española para la Ciencia y la Tecnología (Fecyt)
01/06/202031/12/2020OPTIMITZACIÓ 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 les seves activitats.GALENICUM HEALTH, S.L.
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
01/04/202031/01/2021Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territoriUniversitat Politècnica de Catalunya
03/03/202031/12/2022Hub d'Innovació PediàtricaFondos FEDER
01/03/202031/12/2022Centre de Recerca i Transferència en Salut Mental (CRETSAM)Fondos FEDER
17/02/202017/02/2021Formació sistema ATTEINSTITUT MUNICIPAL DE PERSONES AMB
03/02/202030/11/2020Desenvolupament projecte de recerca: “Modelització de la demanda per l’avaluació del PDU”Centre d'Innovació Tecnològica UPC
20/01/202019/01/2022Consultoria desarrollo tratamiento trombolíticoAPTATARGETS S.LU.
01/01/202031/12/2022Localización y problemas afinesAGENCIA ESTATAL DE INVESTIGACION
01/01/202030/04/2023intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industryCommission of European Communities
01/01/202030/04/2023Intelligent, Interoperable, Integrative and deployable open source MARKETplace with trusted and secure software tools for incentivising the industry data economyCommission of European Communities
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
01/01/202031/12/2020an Off-Street parking floating CARsharing serviceEUROPEAN INST OF INNOV.& TECHNOL.
18/12/201930/09/2023A 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
01/10/201931/12/2021Participació en el projecte HYBRIDCONCOMAZVI, S.A.
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
01/09/201928/02/2023GAVIUS: from reactive to proactive public administrationsCommission of European Communities
01/09/201930/11/2019Cross KIC-Human Capital 2019: EDU HackathonEUROPEAN INST OF INNOV.& TECHNOL.
01/09/201930/06/2020Meet-Up Inclusió. 3a EdicióUniversitat Politècnica de Catalunya
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
12/07/201912/01/2022REDUVE Refuerzo de estructuras frente a acciones dinámicas con compuestos de malla vegetalAZVI, S.A.
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
05/06/201902/09/2020I+D Desarrollo Data LakeADQUIVER MEDIA, SL
01/06/201931/12/2021Digitalization on Power Generation in the field of Data Analytics and Artificial Intelligence, para la aplicaci´on industrial de t´ecnicas de IA a la producci´on y gesti´on de turbinas de gasSiemens
31/05/201930/05/2021Desarrollo de un sistema de generación de energía eléctrica mediante generadores piezoeléctricos integrados en carreterasSORIGUE, S.A.
27/05/201931/03/2021UNIQUE: UNIversal QUantification join-graphs for sql assErtionsOracle Corporation
15/05/201931/12/2019Sponsorització 2019 ENBIS MeetingEU.NETW. BUSIN. AND IND.STATISTICS
14/05/201931/10/2020METRICS: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.
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201931/12/2022Modelización y Optimización de Problemas Estructurados de Gran Escala y AplicacionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/09/2022Integración de CMOS-MEMS avanzados para sistemas de nueva generación a escala milimétricaAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/09/2022Modelización Computacional de Procesos Biofísicos en Múltiples EscalasAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Modelo predictivo de supervivencia poblacional del cáncer de mama según el estadio, el subtipo molecular en el momento del diagnóstico y la adherencia al tratamientoInstituto de Salud Carlos III
01/01/201901/08/2021Data Science for Gender Gap (DSGG)Pendent per manca de dades
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201931/12/2021Master's Degree in Urban MobilityEuropean Institute for Innovation and Technology
01/01/201931/12/2021Summer schools and team buildingEuropean Institute for Innovation and Technology
01/01/201931/12/2019identificación de perfiles de consumo de servicios sanitarios en el estado de Nueva Gales, AustraliaAustralian National University
01/01/201931/12/2019Analysis of case management in Australia through Clustering Based on Rules and data science approachVisual and Decision Analytics
28/05/200931/03/2022CARACTERITZACIÓ DE LA BOSSA TIPUS DE CATALUNYAAGENCIA DE RESIDUS DE CATALUNYA
02/02/200931/12/2025R+D CARTOGRAFIA VIRTUAL DEL TARRAGONÉS EN L'ÀMBIT DEL TURISMECLIENTS DIVERSOS
29/04/200401/12/2021ASSAJOS 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