Access profile

Entry routes are described based on the background required for teaching staff on the master's degrees that prepare students to undertake research within the framework of the groups participating in the programme.

1. Algorithmics and Programming. In this case, there are two informatics-focused entry routes: the master’s degree in Innovation and Research in Informatics (MIRI), with specialisation in Advanced Mathematics; and the master’s degree in Advanced Mathematics and Mathematical Engineering (MAMME), with specialisation in Discrete Mathematics and Algorithmics. These entry routes are linked to the research areas of the ALBCOM and LOGPROG research groups.
2. Visualisation and Virtual RealityGraduates of the MIRI master’s degree with specialisation in Computer Graphics and Visualisation have the background required to undertake research in this field. This entry route is linked to the research areas of the GIE and ViRViG research groups.
3. Data Science. Graduates of the MIRI master’s degree with specialisation in Data Science have the background required to undertake research in this field. This entry route is linked to the research areas of the ALBCOM and LARCA research groups.
   

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

25

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

• Andujar Gran, Carlos

• Alvarez Faura, Maria del Carme
• Andujar Gran, Carlos
• Arratia Quesada, Argimiro
• Martinez Parra, Conrado

• Department of Computer Science (PROMOTORA)

Doctoral Unit - ICT North Campus Management and Support Unit (UTGCNTIC). C/ Jordi Girona, 1-3. Building B4-003 (North Campus)
Tel: 934 137 836
E-mail: doctorat.computacio@upc.edu

Access profile

Entry routes are described based on the background required for teaching staff on the master's degrees that prepare students to undertake research within the framework of the groups participating in the programme.

1. Algorithmics and Programming. In this case, there are two informatics-focused entry routes: the master’s degree in Innovation and Research in Informatics (MIRI), with specialisation in Advanced Mathematics; and the master’s degree in Advanced Mathematics and Mathematical Engineering (MAMME), with specialisation in Discrete Mathematics and Algorithmics. These entry routes are linked to the research areas of the ALBCOM and LOGPROG research groups.
2. Visualisation and Virtual RealityGraduates of the MIRI master’s degree with specialisation in Computer Graphics and Visualisation have the background required to undertake research in this field. This entry route is linked to the research areas of the GIE and ViRViG research groups.
3. Data Science. Graduates of the MIRI master’s degree with specialisation in Data Science have the background required to undertake research in this field. This entry route is linked to the research areas of the ALBCOM and LARCA research groups.
   

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

Criterion: An academic and research background that enables the applicant to undertake research within the areas covered by the research groups involved in the programme

Applicants who meet this requirement will be assessed based on the following weighted criteria:
• Academic record for all university degrees completed (up to 10 points)
• Publications in journals or conference proceedings (up to 4 points)
• Research experience (up to 2 points)
• Curriculum vitae (2 points)
• Fit between the research area of interest and those of the programme, and with the applicant’s background and training (up to 6 points)
• Other merits (up to 1 point)

Interviews, proposed research projects and letters of recommendation may be used as sources of additional information in the admission process.

Students admitted to the doctoral programme must be able to understand technical texts in English and follow courses and conferences conducted in English without difficulty. Doctoral students will be required to demonstrate a level of competence in English equivalent to level B2 of the Common European Framework of Reference for Languages (in both oral and written comprehension) in the form and within the time limit determined by the academic committee.

Training complements

If there are any core or compulsory subjects that an applicant has not taken (either common or specific to the UPC master’s degree related to the selected research area), the academic committee of the doctoral programme may require that the student complete bridging courses.

These bridging courses will be subjects of the UPC master's degrees indicated above (or others) that provide the knowledge and skills needed to fill the gaps identified in the student’s academic training (up to a maximum 60 ECTS credits).

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

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

Activity: Interaction and discussion with thesis supervisors.
Hours: 180.
Type: compulsory.

Activity: Attendance of computing seminar.
Hours: 6.
Type: compulsory.

Activity: Attendance and participation in seminars offered by the research groups that support the programme.
Hours: 30.
Type: optional.

Activity: Intensive courses.
Hours: 30.
Type: optional.

Activity: Attendance of an international scientific conference.
Hours: 36.
Type: optional.

Activity: Cross-disciplinary training courses.
Hours: 10.
Type: optional.

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.

List of authorized thesis for defense

Last update: 27/09/2023 04:45:27.

List of lodged theses

Last update: 27/09/2023 04:30:23.

List of defended theses by year

• ÁLVAREZ DE LA CAMPA CRESPO, MERCÈ: Construction and technological development of immersive virtual reality for pain therapy
  
  Author: ÁLVAREZ DE LA CAMPA CRESPO, MERCÈ
  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 COMPUTING
  Department: Department of Computer Science (CS)
  Mode: Normal
  Reading date: 29/06/2023
  Thesis director: SÁNCHEZ VIVES, MARIA VICTORIA | SLATER, MELVYN
  

  Committee:
       PRESIDENT: CASAS GUIX, DAN
       SECRETARI: PELECHANO GOMEZ, NURIA
       VOCAL: COMBALIA ALEU, ANDRÉS
  Thesis abstract: Virtual reality (VR) allows not only to easily change the perceived scenario but also to control several factors associated with the sense of being in an embodied virtual avatar that would not be achievable in physical reality. The study of internal body representation through embodiment in a virtual avatar has enabled the study of several aspects, including brain representation of the body and its plasticity, the study and implementation of brain computer interfaces for interacting with the virtual body and the virtual world, physical and cognitive rehabilitation for the study and treatment of pain, and psychological and behavioral rehabilitation. We have focused on the use of virtual reality as an alternative rehabilitation therapy, particularly in the field of chronic pain, since we believe it has the potential to benefit a significant number of people in today's society.We carried out a series of virtual experiments in the fields of psychotherapy and physical rehabilitation in which the experience of embodiment was found to be an important factor in the efficiency of the virtual reality tool in treating specific disorders. On patients with chronic pain, we examine how diverse elements such as the embodiment and presence impact the application's effectiveness to not only reduce but also modulate pain, that is, modifying the onset of pain in patients.In parallel to the experiment design and implementation, we worked on technical aspects of the applications, such as the development of an automatic pipeline that allows us to obtain personalized look-alike avatars, where we found that the virtual avatar's clothing is an important aspect of patient self-identification. In addition to recording and implementing physical rehabilitation exercises through motion capture to increase the realism of the applications and consequently their effectiveness.
  

• MANZANO AGUILAR, MARTÍ: Specification, estimation and monitoring of quality-related software strategic indicators in agile software development
  
  Author: MANZANO AGUILAR, MARTÍ
  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 COMPUTING
  Department: Department of Computer Science (CS)
  Mode: Normal
  Reading date: 08/06/2023
  Thesis director: AYALA MARTINEZ, CLAUDIA PATRICIA | GÓMEZ SEOANE, CRISTINA
  

  Committee:
       PRESIDENT: PASTOR LÓPEZ, OSCAR
       SECRETARI: MARCO GOMEZ, JORDI
       VOCAL: MORASCA, SANDRO
  Thesis abstract: In line with the current trend of exploiting corporative data, software companies, especially those using Agile and Rapid software development, are challenged to improve the quality of their products, their profitability and efficiency by exploiting the large amount of data related to their software processes and products from the use of their corporate tools (e.g., continuous inspection tools, continuous integration tools, project management tools, and issue trackers). Although such data exploitation has shown to be beneficial for supporting decision-making processes, the evidence shows that existing support is mostly related to operational decisions, letting aside the support for strategic decision making. Operational decisions are simple routine decisions linked to the effective and efficient execution of the daily operations within the company (e.g., test specification and implementation, bug tracking, version control, etc...). Strategic decisions refer to complex, non-routine decisions related to business goals and objectives. The main problems that endanger the task of supporting strategic decision making through data exploitation are: a) the lack of approaches that help software companies to specify their own software strategic indicators (SSI). SSIs refer to measurable aspects (e.g., software quality, on-time delivery) that a software company considers important for their strategic decision-making processes, b) the inherent complexity of estimating SSIs, and c) the need of supporting the operationalization of the specification and estimation of SSIs by enabling their monitoring. This PhD thesis aims to overcome these problems by:- Devising a novel method called SESSI (Specification and Estimation of Software Strategic Indicators) that provides support for operationalizing the specification, estimation, and monitoring of SSIs in software companies. The method was conceived under design science and action-research principles in the context of the industrial partners of the Q-Rapids European project and applied to quality-related SSIs. - Presenting how the use of the SESSI method and associated software supporting artifacts have shown promising results to enable an SSI monitoring infrastructure according to the needs and resources of a software company. Additionally, this thesis explores the potential use of the resulting monitoring infrastructure and other related outputs from the SESSI method for enabling advanced decision-making support. In particular, a solution for forecasting the values of SSIs based on the SESSI method was applied in a software development company with positive results. The results of this thesis aim to advance the state of the art on approaches to support evidence-based strategic decision making, in software companies using agile and rapid software development. The developed software support artifacts have been released as open source and can be reused and/or adapted by other software companies or researchers.
  

• RENEDO MIRAMBELL, MARTÍ: Cluster evaluation on weighted networks
  
  Author: RENEDO MIRAMBELL, MARTÍ
  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 COMPUTING
  Department: Department of Computer Science (CS)
  Mode: Normal
  Reading date: 28/03/2023
  Thesis director: ARRATIA QUESADA, ARGIMIRO ALEJANDRO
  

  Committee:
       PRESIDENT: MAYORDOMO CÁMARA, ELVIRA
       SECRETARI: VELLIDO ALCACENA, ALFREDO
       VOCAL: BARDINA SIMORRA, XAVIER
  Thesis abstract: This thesis presents a systematic approach to validate the results of clustering methods on weighted networks, particularly for the cases where the existence of a community structure is unknown. Including edge weights has many applications in network science, as there are many situations in which the strength of the connections between nodes is an essential property that describes the network. This evaluation of clustering methods comprises a set of criteria for assessing their significance and stability.First, a well-established set of community scoring functions, which already existed for unweighted graphs, has been extended to the case where the edges have associated weights. There is consideration given to how in some cases many possible weighted extensions to the same function can be defined, and each of them can suit different types of weighted networks.Additionally, methods to randomize graphs but maintaining the original graph¿s degree distribution have been defined in order to use these random graphs as baseline networks. This randomization together with the weighted community scoring functions are then used to evaluate cluster significance, since the random networks built from the original network with our methods provide reference values for each scoring function that will allow to actually determine whether a given cluster score for the original graph is better than a comparable graph with the same degree distribution but no community structure.As for the evaluation of stability, we define non parametric bootstrap methods with perturbations for weighted graphs where vertices are resampled multiple times, and the perturbations are applied to the edge weights. This, together with some fundamental similarity metrics for set partitions derived from information theory and combinatorics, constitutes our criteria for clustering stability. These criteria are based on the essential idea that meaningful clusters should capture an inherent structure in the data and not be overly sensitive to small or local variations, or the particularities of the clustering algorithm.A more in-depth study of the characteristics of cluster scoring functions and their potential bias towards clusters of a certain size has also been performed. This would render some of these functions unsuitable to compare results of clustering algorithms when the size of the partition differs considerably. For this analysis, we introduce parametrized multi-level ground truth models based on the stochastic block model and on preferential attachment that can showcase how the functions respond to varying the strength of each level of clusters in a hierarchical structure. Additionally, a scoring function that doesn't suffer from this kind of bias is proposed: the density ratio.This thesis also contributes with an efficient implementation of Newman's Reduced Mutual Information, a measure to compare set partitions based on information theory. Here it is used as a tool to compare network partitions, which is particularly useful for the evaluation of cluster stability, but it can have applications beyond the field of network clustering. Our algorithm uses an hybrid approach that combines analytical approximation with a Markov Chain Monte Carlo method for a good balance between accuracy and efficiency.Also an indispensable part of this thesis is the associated software that we developed, which includes the implementation of all the methods discussed in it. It all has all been included in our R package clustAnalytics. This package is designed to work together with igraph, the main R package dedicated to graphs, to make it easy and straightforward for other researchers to use. There are many useful applications for these tools: from the study and observation of new datasets, to the evaluation and benchmarking of clustering algorithms.
  

Last update: 27/09/2023 05:01:46.

Research groups

• ALBCOM-Algorithms, Computational Biology, Complexity and Formal Methods
• GIE-Engineering Informatics Group
• LARCA-Laboratory of Relational Algorithmics, Complexity and Learnability
• LOGPROG-Logic and Programming
• ViRVIG-Visualisation, Virtual Reality and Graphic Interaction Research Group

Teachers

• Alvarez Faura, Maria del Carme
• Andujar Gran, Carlos
• Arias Vicente, Marta
• Arratia Quesada, Argimiro
• Atserias Peri, Albert
• Ayala Vallespi, Maria Dolors
• Balcazar Navarro, Jose Luis
• Blesa Aguilera, Maria Josep
• Carmona Vargas, Jose
• Chica Calaf, Antonio
• Cortadella Fortuny, Jordi
• Diaz Cort, Josep
• Duch Brown, Amalia
• Fairen Gonzalez, Marta
• Gabarro Valles, Joaquin
• Gavalda Mestre, Ricard
• Joan Arinyo, Robert
• Martinez Parra, Conrado
• Messeguer Peypoch, Xavier
• Navazo Alvaro, Isabel
• Nieuwenhuis, Robert Lukas Mario
• Oliveras Llunell, Albert
• Orejas Valdes, Fernando
• Pelechano Gomez, Nuria
• Petit Silvestre, Jordi
• Rodriguez Carbonell, Enric
• Serna Iglesias, Maria Jose
• Susin Sanchez, Antonio
• Tost Pardell, Dani
• Valiente Feruglio, Gabriel
• Vazquez Alcocer, Pere Pau
• Vinacua Pla, Alvaro

• Ayala Martinez, Claudia Patricia
• Baixeries Juvilla, Jaume
• Dadvand, Pooyan
• Farre Tost, Carles
• Franch Gutierrez, Xavier
• Gomez Seoane, Cristina
• Padro Cirera, Lluis
• Soria Guerrero, Manel
• Valero Garcia, Miguel