Artificial Intelligence
COORDINATOR
CONTACT
Doctoral Unit
ICT North Campus Management and Support Unit
Universitat Politècnica de Catalunya · BarcelonaTech
C. Jordi Girona, 1-3
Building B4 - 003
08034 Barcelona
doctorat.ia@upc.edu
Tel: 93413 78 36
As of today, the doctoral programme in Artificial Intelligence is the only doctoral programme in Catalonia focusing exclusively on artificial intelligence.
• The development of computing and its pervasiveness in all areas of society represent fundamental elements for understanding the socioeconomic progress of the second half of the 20th century. Particularly in recent years, artificial intelligence, due to its multidisciplinary nature, in addition to driving scientific and technological advancement in all fields of science, engineering and many other disciplines, has enabled the efficient and effective deciphering of scientific and social data, which has been critical to shaping our understanding of the world around us, living beings, mankind and society in general. Artificial intelligence is now present in nearly all domains of advanced society. Specifically, the financial, industrial, service, public administration, health care, communications, education and research and innovation sectors cannot be conceived without artificial intelligence playing a critical role in the systems that control them.
• The programme’s sphere of influence is Catalonia. As such it looks to attract Catalan students, though the Department also admits students from other parts of Spain and foreign countries. In Catalonia, and in particular, the metropolitan area surrounding Barcelona, industry and services have developed extensively. The financial, insurance, SME, consulting, education and research sectors here are key to the development of the country as a whole. And, as has already been mentioned, artificial intelligence is necessary in all of these fields. Consequently, educating and training well qualified AI researchers has undoubtedly become a strategic factor for growth.
• The doctoral programme in Artificial Intelligence was the first of its kind in Catalonia (1985), and for many years, it was the only one to exist. Since then, artificial intelligence has seen exponential growth and has been the starting point for many lines of research and products that have made their way to the general public, whether in American, Japan or Europe, where a significant number of Framework Programmes have been dedicated to financing projects that have artificial intelligence as a major element. In Catalonia in particular, the UPC’s doctoral programme in Artificial Intelligence has been vital to the creation of a thriving and growing scientific community. Some of the most important public and private research centres in Europe were founded by research graduates from our programme. Various spin-offs (e.g., ISOCO, 3SCALE, Intelligent Pharma and Sisltech) have been created as the result of one or more doctoral theses. Additionally, the Catalan Association for Artificial Intelligence (ACIA) is one of the most important in Europe.
• The doctoral programme in Artificial Intelligence stands out in Europe thanks to the research quality and output produced by its members, who participate in research projects financed with funds from the EU, Spain or other Spanish organisations and companies. Special mention should be given to the coordination of and participation in research projects involved with the Fifth, Sixth and Seventh Framework Programmes (Share-it, Laboranova, Contract, Agencities.RTD, Alive, Superhub, etc.). At the UPC there are three established groups that have been acclaimed by the Government of Catalonia and another by the university itself. These groups are directly related to the programme, ensuring that it remains dynamic and maintains the scientific standards needed to keep it in such high standing. Additionally, as has been previously mentioned, these groups are very active when it comes to obtaining financing through EU calls, which ensures they have continuous contact with national and European businesses and a high level of internationalisation. Furthermore, other groups at the UPC regularly send students to study in the programme. The same is true with students from other universities, such as the URV and the CSIC’s Artificial Intelligence Research Institute.
• The UPC’s doctoral programme in Artificial Intelligence was given the Quality Award in 2003 (MCD2003-00129), which was renewed in the following years: 2004, 2005, 2006, 2007, 2008 and 2009. Among other recent accolades, it is worth noting that some of the programme’s theses have received awards:
• Two recent doctoral theses presented in the programme were given the Artificial Intelligence Dissertation Award (in 2010 and 2003). This is the only programme in all of Spain that has been given such distinctions. In Europe, there are two other examples: the doctoral programmes in artificial intelligence at the École Polytechnique Fédérale de Lausanne (EPFL) and the J. Stefan Institute in Ljubljana.
• Furthermore, some of the programme’s distinguished former students include five ECCAI Fellows. Ours is one of the programmes that has produced the most Fellows in Europe. They are: Prof. Carlos Sierra (IIIA-CSIC), Enric Plaza (1) (IIIA-CSIC), Vicenç Torra (IIIA-CSIC), Pedro Messeguer (IIIA-CSIC) and Lluís Godó (IIIA-CSIC)
• Another of the programme’s theses was given the Best Thesis Award 2009 by the European Association for Machine Translation.
• Another was given the Joan Lluís Vives Prize 2003, the Barcelona City Research Prize 2003 and the Extraordinary Doctorate Prize by the UPC for the 2003-2004 academic year.
• Another was given the Chihuahua Research Prize 2002, by the state of Chihuahua, Mexico.
The doctoral programme in Artificial Intelligence falls into the field of information and communication technology (ICT), as does the research work carried out in the programme, and this represents one of the primary areas of research at the UPC. The education and training provided in the programme is intended to respond to one of the challenges posed by Catalonia’s 2010-2013 Research and Innovation Plan: Excellent and cutting-edge research and technology (see section 8, page 13). It is also intended to respond to the objectives of area 1—production of scientific and technological knowledge and competencies—of the National Scientific Research, Development and Technological Innovation Plan 2008-2011 (PN I+D+I).
From a technical and scientific point of view, some of the programme’s lines of research contribute to tackling other challenges included in Catalonia’s Research and Innovation Plan:
• Efficient flows of people and goods (sustainable mobility) and of information. The programme covers lines dealing with flows of information related to the accessibility and management of information, particularly in the contexts of algorithmics and programming.
• The new service society with consumer “serviproducts”. The programme incorporates lines of research related to the study and analysis of the structural and algorithmic aspects of social networks and heterogeneous computing networks (sensors, robots, mobile phones, etc.) that could play a crucial role in the development of new methodologies in this field. It also deals with the development of computer graphic technologies and those related to virtual and augmented reality.
• Healthcare and risk prevention. The programme incorporates lines of research related to biocomputing and medical visualisation.
With regard to the PN I+D+I and in line with the objectives of Strategic Action 4, the programme’s lines of research include the following: Telecommunications and the information society, with potential contributions to the following sub-lines:
1. Computing technologies
b) Advanced multi-modal interfaces.
c) Distributed and embedded systems.
d) Software engineering and information management.
e) Intelligent systems.
f) Free and open-source software.
8. Sector-specific applications, services and contents
a) Businesses and particularly SMEs. E-business, in its broadest sense.
b) Healthcare, social welfare and social inclusion, including broadband e-inclusion.
c) Security, in its broadest sense.
d) Transport, in its broadest sense.
Regarding the European Community’s Seventh Framework Programme, from topic 3, Information and Communication Technologies, of the 2011-2012 Work Programme, the doctoral programme’s lines of research pertain to the planning, design and analysis of some of the developmental components of the challenges posed:
• Challenge 1: Pervasive and trusted network and service infrastructures
- tools and platforms for novel Internet application development
- key technological developments in networking, digital media and service infrastructures.
• Challenge 3: alternative paths to components and systems
- multicore computing systems
- embedded systems
- monitoring and control
- cooperating complex systems
• Challenge 4: technologies for digital content and languages
- online access and use of content and services
- reliability of retrieval and use of digital resources
- scaling up data analysis to keep pace with extremely large data volumes
• Challenge 5: ICT for health, ageing well, inclusion and governance. ICT for disease prediction, early diagnosis, prevention, minimally invasive treatment
Artificial intelligence is undoubtedly at the core of the technological and scientific development of other emblematic concepts and challenges, including “smart cities”, “greener technologies” and “living labs”.
General information
Access profile
There cannot be a specific profile for applicants to a programme in a discipline that is so horizontal, interdisciplinary and diverse as artificial intelligence. Areas of research and application range from biology and medicine to computational linguistics, artificial vision and robotic intelligence, to name a few of the extremes.
However, to provide an identifiable base of basic knowledge, applicants’ prior education and training should preferably have provided skills and abilities in research equivalent to those provided by the master’s degree programme in Artificial Intelligence, currently offered by the UPC, or to those provided by specialisations in Advanced Computation and Computer Graphics and Virtual Reality in the master’s degree programme in Innovation and Research in Informatics, which stems from the restructuring of master’s-level studies in ICT at the UPC.
The master’s degree programme in Artificial Intelligence also accepts students from a wide range of other scientific disciplines.
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
10
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:
- Cortes Garcia, Ulises
- Larrosa Bondia, Francisco Javier
- Nebot Castells, Maria Angela
- Padro Cirera, Lluis
- Sanchez Marre, Miquel
- Department of Computer Science (PROMOTORA)
https://artificialintelligence.phd.upc.edu/en/phd
CONTACT:
Doctoral Unit
ICT North Campus Management and Support Unit
Universitat Politècnica de Catalunya · BarcelonaTech
C. Jordi Girona, 1-3
Building B4 - 003
08034 Barcelona
doctorat.ia@upc.edu
Tel: 93413 78 36
Agreements with other institutions
Access, admission and registration
Access profile
There cannot be a specific profile for applicants to a programme in a discipline that is so horizontal, interdisciplinary and diverse as artificial intelligence. Areas of research and application range from biology and medicine to computational linguistics, artificial vision and robotic intelligence, to name a few of the extremes.
However, to provide an identifiable base of basic knowledge, applicants’ prior education and training should preferably have provided skills and abilities in research equivalent to those provided by the master’s degree programme in Artificial Intelligence, currently offered by the UPC, or to those provided by specialisations in Advanced Computation and Computer Graphics and Virtual Reality in the master’s degree programme in Innovation and Research in Informatics, which stems from the restructuring of master’s-level studies in ICT at the UPC.
The master’s degree programme in Artificial Intelligence also accepts students from a wide range of other scientific disciplines.
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
Aspiring doctors in Artificial Intelligence should have academic (master’s) and professional backgrounds that show that they have the academic and intellectual capacities and the consistency needed to ensure that they can successfully complete their studies in a timely fashion.
The programme will assess candidates on the following criteria:
• Academic transcripts for all university degree programmes taken.
• Publications (if applicable).
• Research experience (if applicable).
• CV.
• Appropriateness of research interests with the programmes lines of research and the applicant’s background.
• Other merits.
All of those who are admitted to the doctoral programme will be expected to be able to understand technical texts written in English and easily follow courses and conferences in English. Candidates will have to demonstrate that they possess a knowledge of the English language equal to a B1 level as per the Common European Framework of Reference for Languages, both spoken and written, in the timeframes and manners determined by the Academic Committee.
Weighting of criteria:
The Academic Committee of the doctoral programme will be in charge of the process of selecting and admitting candidates. This selection process will be based on a scale that will give priority to the following aspects:
- applicants’ academic transcripts (60%)
- verifiable knowledge of the English language (20%).
- previous experience (20%).
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 activities completed by the candidates, 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.
If necessary, the bridging courses required will be determined by the academic tutors following the recommendations given to each student during the admission process. Recommended courses will be those offered through the joint master’s degree programme in Artificial Intelligence.
Core subjects:
Based on their previous studies, candidates with non-scientific backgrounds will have to pass these courses, in addition to one subject from the following blocks, depending on their chosen line of research.
• Computational Intelligence (CI)
• Computational Vision (CV)
• Intelligent Data Analysis Applications in Business
• Introduction to MultiAgent Systems (IMAS)
• Introduction to Machine Learning (IML)
• Introduction to Natural Language Processing (INLP)
• Planning and Approximate Reasoning (PAR)
Subjects on more specific topics:
For candidates with scientific backgrounds, 1 or 2 blocks of subjects, depending on their chosen line of research.
MultiAgent Systems:
• Multi-Agent Systems Design (MASD)
• Normative and Dynamic Virtual Worlds (NDVW)
• Self-Organising Agent Systems (SOAS)
Human-Computer Interaction:
• Advanced Natural Language Processing (ANLP)
• Cognitive Interaction with Robots (CIR)
• Human-Computer Interaction (HCI)
Advanced Computational Intelligence:
• Advanced Topics in Computational Intelligence (ATCI)
• Complex Networks (CN)
• Intelligent Data Analysis and Data Mining (IDADM)
Knowledge Engineering and Machine Learning:
• Advanced Machine Learning Techniques (AMLT)
• Intelligent Decision Support Systems (IDSS)
• Knowledge Representation and Engineering (KRE)
• Multi-Criteria Decision Support Systems (MCDSS)
Modelling, Reasoning and Problem Solving:
• Constraint Processing and Programming (CPP)
• Logics for Artificial Intelligence (LAI)
• Minds, Brains and Machines (MBM)
• Probabilistic Graphical Models (PGM)
Vision, Perception and Robotics:
• Advanced Artificial Vision (AAV)
• Cooperative Robotics (CR)
• Object Recognition (OR)
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.
Monitoring and evaluation of the doctoral student
Procedure for the preparation and defense of the research plan
Doctoral candidates must submit a research plan, which will be included in their doctoral student activity report, before the end of the first year. The plan may be improved over the course of the doctoral degree. It must be endorsed by the tutor and the supervisor, and it must include the method that is to be followed and the aims of the research.
At least one of these annual assessments will include a public presentation and defence of the research plan and work done before a committee composed of three doctoral degree holders, which will be conducted in the manner determined by each academic committee. The examination committee awards a Pass or Fail mark. A Pass mark is a prerequisite for continuing on the doctoral programme. Doctoral candidates awarded a Fail mark must submit a new research plan for assessment by the academic committee of the doctoral programme within six months.
The committee assesses the research plan every year, in addition to all of the other activities in the doctoral student activity report. Doctoral candidates who are awarded two consecutive Fail marks for the research plan will be obliged to definitely withdraw from the programme.
If they change the subject of their thesis, they must submit a new research plan.
Formation activities
1. Tutorials (meetings with the supervisor), approximately 288 hours (the exact number and frequency will be defined by the supervisor), mandatory.
2. Artificial Intelligence Seminar, approximately 30 hours (depending on participants’ availability), optional.
3. Theoretical-Scientific Seminar, approximately 30 hours (depending on participants’ availability), optional.
4. Intensive courses, approximately 30 hours (depending on professors’ availability), optional.
5. International scientific meetings (conferences, workshops, schools, etc.), approximately 24 hours, 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.
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
Space for grant holders, study rooms, computing equipment and programmes provided by the Computer Science Department, additional resources provided by research groups participating in the programme.
The Academic Committee of the doctoral programme will encourage candidates to participate in mobility programmes on the regional, country, and European levels and in research groups working on projects at the international level, whether via integrated actions or on European projects. Such participation has been and will continue to be one of the major points of internationalisation in the programme.
Doctoral Theses
List of authorized thesis for defense
Last update: 10/10/2024 04:45:27.
List of lodged theses
- NANDI, ARIJIT: Multimodal data stream classification and prediction of e-learner’s emotional statesAuthor: NANDI, ARIJIT
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 ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Normal
Deposit date: 27/09/2024
Deposit END date: 10/10/2024
Thesis director: XHAFA XHAFA, FATOS | SUBIRATS MATÉ, LAIA
Committee:
PRESIDENT: CABALLÉ LLOBET, SANTIAGO
SECRETARI: ESCUDERO BAKX, GERARD
VOCAL: JUAN PEREZ, ANGEL ALEJANDRO
Thesis abstract: Emotions and emotional intelligence are crucial for students' success both in traditional learning environments (face-to-face classroom), online education (or E-Learning/distance learning), and in more recently developed technological environments such as augmented workspaces (i.e., adaptive training systems based on augmented or virtual reality). Many researchers have examined the role of emotions in improving and optimizing the outcomes of those learning scenarios. Several approaches (ranging from machine learning/ deep learning models) have also been proposed to use one or more data modalities for emotion classification. However, those ML/DL models so far are suitable for offline mode, where data for emotion classification is stored and can be accessed infinitely. In addition, the recent technical developments and emerging Internet of Things (IoT) technologies have added a new dimension to those learning environments, with numerous feedback instruments (such as webcams, fit-bands, and so on) for engagement with learners. This new layer offers immense quantities of data with volume, diversity, and velocity, referred to as multi-modal data streams, as well as additional complexities in real-time data classification. Thus, the core scientific challenge involves systematically designing, developing, and evaluating a system for real-time emotion classification of learners using multi-modal data streams in those learning scenarios.Initially, this thesis investigates and answers the fundamental research questions by concentrating on the construction of a real- time emotion classification system employing multi-modal data streams, with a major focus on physiological signals (such as Electroencephalogram( EEG ), Electrocardiogram ( ECG), Electrodermal Activity ( EDA) and Respiratory Belt (RB)). Then, to address the fundamental questions raised in this thesis, we have devised a series of distinct methodologies, including Real-time Emotion Classification System (RECS ), Real-time Multi-modal Emotion classification System (ReMECS), and Reward Penalty Based Weighted Ensemble ( RPWE). Furthermore, the thesis extends the ReMECS approach to handle decentralized multi- modal data stream processing for real-time emotion classification with users privacy protection, called Federated Learning based ReMECS ( Fed-ReMECS). In addition, the solution of easy deployment of the federated learning-based approach (Docker- enabled Federated Learning ( DFL)) across distributed devices has also been proposed. All these proposed approaches performance is rigorously evaluated using two benchmark datasets, A Database for Emotion Analysis using Physiological Signals ( DEAP) and A Dataset for Affect, Personality and Mood Research on Individuals and Groups ( AMIGOS), demonstrating the superiority over existing state-of-the-art models. Note that these datasets are accessible after signing the End User License Agreement (EULA).As a result, this thesis contributes fundamentally to the core knowledge base in real-time emotion classification using multi-modal data streaming as a necessary prerequisite to precise and robust emotional interaction in different environments in the context of E-Learning.
Last update: 10/10/2024 04:30:32.
List of defended theses by year
- MONTES GOMEZ, MARIA DE LAS NIEVES: Value engineering for autonomous agentsAuthor: MONTES GOMEZ, MARIA DE LAS NIEVES
Thesis link: http://hdl.handle.net/10803/691480
Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Article-based thesis
Reading date: 01/02/2024
Thesis director: SIERRA GARCIA, CARLOS | OSMAN, NARDINECommittee:
PRESIDENT: CORTÉS GARCÍA, CLAUDIO ULISES
SECRETARI: LOPEZ SANCHEZ, MAITE
VOCAL: SEVERINO DE ALMEIDA E PAIVA, ANA MARIA
Thesis abstract: The topic of this thesis is the engineering of values for autonomous agents. This is realised through the formulation, design and implementation of new functionalities for autonomous agents that enable reasoning in terms of values. In particular, we argue for the role of prescriptive norms as value-promoting mechanisms. Hence, value-driven agents should be able to autonomously determine which regulations (such as obligations, permissions or prohibitions) make the Multiagent System they inhabit better promote some values of interest. We lay the foundations of our work on Schwartz’s Theory of Basic Human Values to establish a consequential connection between values and norms, considering that norms are aligned with respect to values if the outcomes they incentivise satisfy the goals that capture the meaning of values in a particular context. Another feature of Schwartz’s theory that has been previously overlooked in the literature is the strong social dimension of values. That is, agents should be able to reason not just in terms of their own, but also of the values of others in their community. This points to Theory of Mind (i.e. the cognitive ability to perceive, interpret and reason about others in terms of their mental states) as an outstanding component of value-based reasoning.This thesis is structured around three main contributions (published in journal papers) plus their integration. The first contribution establishes the normvalue relationship as a consequential one in nature, and proposes a methodology for the automated synthesis and analysis of optimally value-aligned normative systems. The second contribution tackles the limitations of the first, and defines the Action Situation Language to systematically express a wide range of rules that may be implemented in a Multiagent System. This language is complemented by a game engine that automatically interprets interaction descriptions and builds their semantics as Extensive Form Games, which are later analysed with standard game-theoretical tools. This leads to a distribution over game outcomes, which are evaluated in terms of their desirability with respect to values. The third contribution introduces Theory of Mind-related functionalities into an existing Belief-Desire-Intention agent architecture, and combines them with abductive reasoning capabilities.The three contributions are integrated in a novel functionality that enables agents to reason about prescriptive norms in terms of dynamic values. This means that an autonomous agent can, at runtime, switch its value perspective to the one it estimates that another agent has. Such perspective-dependent value-based normative reasoning functionality, with its inherent social orientation, constitutes a novel contribution to the community of values for autonomous agents and paves the way for possible applications such as value-based negotiation over normative systems. In summary, value engineering is a principled and systematic approach to computational ethics, which provides an innovative tool set for integrating ethical values into the design of autonomous agents.
- ROTKEVICH, MIKHAIL: Revealing the hidden language of DNAAuthor: ROTKEVICH, MIKHAIL
Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Normal
Reading date: 19/03/2024
Thesis director: PRZULJ, NATASACommittee:
PRESIDENT: SKUPIN, ALEXANDER
SECRETARI: VELLIDO ALCACENA, ALFREDO
VOCAL: GUIGO SERRA, RODERIC
Thesis abstract: Genomics has revolutionized in recent years due to the rapid advancements in high-throughput sequencing technologies, leading to an explosion of genomic data. This has opened up new opportunities for utilizing natural language processing (NLP) techniques to analyze and extract knowledge from genomic data. However, applying NLP techniques in genomics presents unique challenges due to the differences in genetic data's underlying structure and complexity.State-of-art biological embedding algorithms, such as DNA2VEC, split biological sequences into overlapping sub-sequences of length k, called k-mers, and learn a k-mer-based embedding space. By representing k-mers as continuous vectors, a strong correlation has been observed between the cosine similarity of these embeddings and the global sequence alignment score. This correlation suggests that the k-mer embeddings effectively capture sequence similarities. In other words, if two genes or proteins are embedded closely in the embedding space, they will likely exhibit high sequence similarity.We proposed new embedding methods to go beyond the sequence similarity: untangle 1 (UNT1) and untangle 2 (UNT2). By changing the calculation of the co-occurrences of k-mers in the contextual window, we significantly reduced the correlation to sequence similarity. While capturing fewer semantically similar GO terms, we showed that the novel methods UNT1 and UNT2 provide a broader representation of functional relationships than DNA2VEC.In addition to sequence data, the availability of diverse omics data has witnessed a remarkable surge, with the recognition of its potential to provide complementary insights. In our research, we depart from the conventional use of Singular Value Decomposition (SVD) to represent sequences in a low-dimensional space. Instead, we employ Non-negative Matrix Tri-Factorization (NMTF) to build a directly interpretable biological sequence embedding method. While Singular Value Decomposition (SVD) has successfully produced high-quality embeddings, our choice of NMTF aligns with the goals of explainable AI (XAI) and the need to understand the biological implications of the generated embeddings. NMTF serves as a potent instrument for data fusion, enabling the integration of information from various sources to achieve a deeper knowledge of complex biological systems. By utilizing NMTF, we aim to provide a more comprehensive understanding of the relationships between biological entities, such as k-mer, coding or non-coding regions, and their functional characteristics.We developed a versatile approach for annotating k-mers with genes, which allowed us to investigate the inheritance of annotations across different k-mer lengths. Specifically, we mapped k-mers to genes and vice-versa based on their over-representation in the sequences of the genes. Our study showed that the k-mer clusters are significantly enriched in GO annotations, indicating that the embeddings of k-mers capture functional genome organization.We showed that the same embedding models based on k-mers of DNA not only capture a functional structure of genes, but also effectively distinguish non-coding regions of DNA. We analyzed the non-coding regions of the yeast genome and compared the performance of the models DNA2VEC, UNT1, and UNT2. Our findings suggest that the optimal length of k-mers to classify ncRNAs is shorter than 7. This observation is fundamental since the feasibility of mostly all k-mer-based methods is highly dependent on the volume of the vocabulary increasing exponentially with the k-mer's length.Furthermore, our findings indicate that models utilizing k-mers of length 6 and larger outperform models based on shorter subsequences when predicting chromatin interactions. By emphasizing the importance of longer k-mers, our study provides valuable insights into the potential of utilizing extended sequence motifs to advance our understanding of the structural organization of the genome.
- XENOS, ALEXANDROS: Towards a linearly organized embedding space of biological networksAuthor: XENOS, ALEXANDROS
Thesis link: http://hdl.handle.net/10803/690743
Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Normal
Reading date: 02/02/2024
Thesis director: PRZULJ, NATASACommittee:
PRESIDENT: BORGWARDT, KARSTEN
SECRETARI: VELLIDO ALCACENA, ALFREDO
VOCAL: HIGHAM, DESMOND JOHN
Thesis abstract: The recent technological advances in high-throughput sequencing have yielded vast amounts of large-scale biological omics data that describe different aspects of cellular functioning. These omics data are typically modelled and analyzed as networks. Due to the high dimensionality of biological networks, embeddings are a cornerstone in the analysis of such complex networks. Embedding biological networks is challenging, as it involves capturing both topological (similar wiring patterns) and neighborhood-based similarity of the nodes. However, current network embedding algorithms do not preserve both types of similarity, which limits the information preserved in the embedding space. Moreover, the existing methods for analyzing the embedding space of molecular networks use the vectors of the biological entities as the input for computationally intensive ML models that aid downstream analysis tasks. In contrast, in the field of NLP, they mine the word embedding space directly by doing simple linear operations between the word embedding vectors. In this thesis, following the NLP paradigm, we mine biological knowledge directly from the embedding space, and we identify the properties of a space that make it suitable for linear operations.In network biology, Non-Negative Matrix Tri Factorization (NMTF) is extensively used to embed networks in a low-dimensional space because it is an explainable AI method that also enables the joint representation of different networks in a shared space. We demonstrate the power of the NMTF-based data integration in the context of COVID-19 by applying two integration frameworks to identify COVID-19 related genes and prioritize drugs for repurposing targeting their gene products. Our newly identified genes could not have been identified with either network-medicine or differential expression based approaches that rely on a single type of omic data.Then, to extract new biological knowledge based on linear operations, we introduce two NLP inspired network representations: the Positive Pointwise Mutual Information (PPMI) matrix and the Graphlet Degree Vector (GDV) PPMI matrix. The PPMI matrix captures the neighborhood-based similarities of the nodes based on random walks between adjacent nodes, while the GDV PPMI matrix, the topological ones by using random walks between similarly wired nodes, independent of being adjacent. As a showcase, we represent the nodes of the human PPI network with our GDV PPMI and PPMI matrix and generate the embedding spaces by factorizing these matrices with NMTF. We show that genes embedded close in these spaces have similar biological functions, so we can extract new biomedical knowledge directly by doing linear operations on their embedded vectors. We exploit this property to predict genes participating in protein complexes and to identify cancer-related genes based on the cosine similarities between the vector representations of the genes.We also go beyond embeddings that preserve one type of similarity by introducing novel random-walk based network embeddings that incorporate the graphlets (small, connected and induced subgraphs) into DeepWalk and LINE methods. We use the graphlets that leverage both topological and neighbourhood-based similarity as the context for the random walks. In a graphlet-based random walk, a node can visit any other nodes that simultaneously participate in the given graphlet. We show that in the graphlet-based representations of the networks, more adjacent nodes have the same label (i.e., the nodes are grouped in a more homophilic way) than in the standard random walk representations. Then we factorize these matrices with NMTF and show that the more homophilic the network representation, the more functionally organized is the corresponding embedding space, and thus the downstream analysis tasks are better. Our new graphlet-based methodologies embed networks in linear spaces, alleviating the need for computationally expensive ML methods.
- ZHANG, XIAO: Soft computing strategies for resolving key data challenges in organ transplantationAuthor: ZHANG, XIAO
Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Normal
Reading date: 25/07/2024
Thesis director: NEBOT CASTELLS, MARIA ANGELACommittee:
PRESIDENT: RIBAS RIPOLL, VICENTE JORGE
SECRETARI: VELLIDO ALCACENA, ALFREDO
VOCAL: ARMENGOL VOLTAS, EVA
Thesis abstract: In the field of organ transplantation, a critical gap exists: the availability of organs falls far short of the demand, resulting in numerous recipients dying before they can receive a transplant. The complexity of this field extends beyond surgical procedures, encompassing the challenges of matching organs to patients and ensuring effective post-operative care-both of which are crucial for the patients' survival and quality of life. Recently, artificial intelligence (AI) technologies, particularly machine learning (ML) and deep learning (DL) methods, have shown great potential in enhancing the accuracy of organ matching and in managing post-transplant patient risks more effectively. However, the application of these methods faces several challenges, including issues with model interpretability, data imbalance, and limitations due to small dataset sizes and insufficient labeled samples. This thesis focuses on the application and exploration of soft computing techniques in the analysis and modeling of organ transplant data. By integrating soft computing techniques with ML models, this study aims to develop new computational approaches to address the key data challenges in the organ transplant domain. Through this research, we aim to provide deeper insights into data analysis and modeling in organ transplant scenarios, thereby offering more accurate and personalized decision support for doctors and patients.This thesis demonstrates how enhancing interpretability in ML models for assessing organ transplant risks can be achieved, particularly by addressing gaps in understanding the impact of features over follow-up time and across different patient subgroups. The Extreme Gradient Boosting (XGBoost) model is shown to outperform traditional risk scores and other ML models across various follow-up periods. Using SHapley Additive exPlanations (SHAP), this thesis provides detailed insights into how specific features dynamically affect different patient subgroups over these periods, thereby enhancing both global and subgroup-specific interpretability in the context of organ transplantation.To tackle the prevalent challenge of data imbalance in the field of organ transplantation, two novel rule-based methods, Ad-RuLer and ARUST, are proposed. Ad-RuLer improves the representation of minority classes through iterative rule comparison. Building on this, ARUST further refines the segmentation of the sample space through density peak clustering (DPC), enhancing the granularity of data synthesis. Simultaneously, it enhances the detection and elimination of overlapping and noisy samples, thus improving the classification performance of the synthesized samples. These methods outperform traditional resampling techniques in predicting de novo solid malignancies in post-liver transplant recipients, showcasing their robust ability to handle imbalanced data effectively.Addressing the issues of small sample sizes and insufficient labeled samples, the thesis presents a novel neuro-fuzzy system, D-DMR-FBLS. This system integrates Deep Belief Networks (DBN) and Takagi-Sugeno-Kang (TSK) systems within the Broad Learning System (BLS) framework to enhance representation learning capacity during the unsupervised training phase (UTP). Additionally, two types of graph-based manifold regularization strategies are proposed for the system: sample-based and feature-based. Adapted into a semi-supervised learning method, it leverages the similarities among samples, including unlabeled ones, and the correlations between features within the fuzzy feature space, further improving the model's predictive performance in scenarios of small sample sizes and insufficient labeled samples.
Last update: 10/10/2024 05:01:21.
Theses related publications
AUTHOR: | XENOS, ALEXANDROS |
---|---|
Title: | Towards a linearly organized embedding space of biological networks |
Reading date: | 02/02/2024 |
Tutor/a: | LARROSA BONDIA, FRANCISCO JAVIER |
Director: | PRZULJ, NATASA |
Mention: | No mention |
RELATED PUBLICATIONS | |
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates Zambrana, C.; Xenos, A.; Böttcher, R.; Malod-Dognin , N.; Pržulj, N. Scientific reports, ISSN: 2045-2322 (JCR Impact Factor-2021: 4.996; Quartil: Q2) Publication date: 23/09/2021 Journal article Linear functional organization of the omic embedding space Xenos, A.; Malod-Dognin , N.; Milinkovi, S.; Pržulj, N. Bioinformatics, ISSN: 1367-4803 (JCR Impact Factor-2021: 6.931; Quartil: Q1) Publication date: 01/11/2021 Journal article Integrated data analysis uncovers new COVID-19 related genes and potential drug re-purposing candidates Xenos, A.; Malod-Dognin , N.; Zambrana, C.; Pržulj, N. International journal of molecular sciences, ISSN: 1422-0067 (JCR Impact Factor-2021: 6.9 Publication date: 01/01/2023 Journal article | |
AUTHOR: | MONTES GOMEZ, MARIA DE LAS NIEVES |
Title: | Value engineering for autonomous agents |
Reading date: | 01/02/2024 |
Tutor/a: | ANGULO BAHON, CECILIO |
Director: | SIERRA GARCIA, CARLOS |
Co-director: | OSMAN, NARDINE |
Mention: | International Mention |
RELATED PUBLICATIONS | |
Value-alignment equilibrium in multiagent systems Montes, N.; Carles, S. Springer Publication date: 13/04/2021 Book chapter Engineering Pro-social Values in Autonomous Agents – Collective and Individual Perspectives Montes, N. Springer Publication date: 10/12/2022 Book chapter Combining Theory of Mind and Abduction for Cooperation Under Imperfect Information Montes, N.; Sierra, C.; Osman, N. Springer Publication date: 10/12/2022 Book chapter A Computational Model of Ostrom's Institutional Analysis and Development Framework Montes, N. Artificial intelligence, ISSN: 0004-3702 (JCR Impact Factor-2022: 14.4; Quartil: Q1) Publication date: 07/2022 Journal article Synthesis and Properties of Optimally Value-Aligned Normative Systems Montes, N.; Carles, S. Journal of artificial intelligence research, ISSN: 1076-9757 (JCR Impact Factor-2022: 5.0; Quartil: Q2) Publication date: 21/08/2022 Journal article Combining theory of mind and abductive reasoning in agent-oriented programming Montes, N.; Luck, M.; Osman, N.; Rodrigues, O.; Carles, S. Autonomous agents and multi-agent systems, ISSN: 1387-2532 (JCR Impact Factor-2021: 4.3 Publication date: 10/2023 Journal article Value-guided synthesis of parametric normative systems 20th International Conference on Autonomous Agents and Multiagent Systems Presentation date: 03/05/2021 Presentation of work at congresses Enabling Game-Theoretical Analysis of Social Rules 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence Presentation date: 21/10/2021 Presentation of work at congresses A norm optimisation approach to SDGs: tackling poverty by acting on discrimination IJCAI 2022 - The 31st International Joint Conference on Artificial Intelligence Presentation date: 25/07/2022 Presentation of work at congresses Engineering Socially-Oriented Autonomous Agents and Multiagent Systems The 31st International Joint Conference on Artificial Intelligence Presentation date: 25/07/2022 Presentation of work at congresses An Agent-Based Model for Poverty and Discrimination Policy-Making Workshop on Agent-based Modeling and Policy-Making Presentation date: 14/12/2023 Presentation of work at congresses A Computational model of Ostrom's institutional analysis and development framework 32nd International Joint Conference on Artificial Intelligence Presentation date: 23/08/2023 Presentation of work at congresses | |
AUTHOR: | DE CASTRO CROS, MARTÍ |
Title: | DA&AI supporting tools for gas turbine’s efficiency improvement: maintenance, operation modes and performance enhancement |
Reading date: | 18/12/2023 |
Director: | ANGULO BAHON, CECILIO |
Co-director: | VELASCO GARCIA, MANUEL |
Mention: | No mention |
RELATED PUBLICATIONS | |
Effects of gamification in BCI functional rehabilitation De Castro, M.; Sebastian, M.; Rodriguez, J.; Opisso, E.; Ochoa, M.; Ortner, R.; Guger, C.; Tost, D. Frontiers in neuroscience, ISSN: 1662-453X (JCR Impact Factor-2020: 4.677; Quartil: Q2) Publication date: 21/08/2020 Journal article Condition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder De Castro, M.; Rosso, S.; Bahilo, E.; Velasco, M.; Angulo, C. Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2) Publication date: 12/04/2021 Journal article Machine-learning-based condition assessment of gas turbine: a review De Castro, M.; Velasco, M.; Angulo, C. Energies, ISSN: 1996-1073 (JCR Impact Factor-2021: 3.252; Quartil: Q3) Publication date: 15/12/2021 Journal article Analysis of gas turbine compressor performance after a major maintenance operation using an autoencoder architecture De Castro, M.; Velasco, M.; Angulo, C. Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2) Publication date: 21/01/2023 Journal article | |
AUTHOR: | ARIAS DUART, ANNA |
Title: | Assessing biases through mosaic attributions |
Reading date: | 11/12/2023 |
Director: | CORTÉS GARCÍA, CLAUDIO ULISES |
Co-director: | GARCÍA GASULLA, DARIO |
Mention: | Menció Doctorat Internacional + Industrial Doctorate Mention (Generalitat) |
RELATED PUBLICATIONS | |
The MAMe dataset: On the relevance of high resolution and variable shape image properties Parés, F.; Arias, A.; Garcia-Gasulla, D.; Campo, G.; Viladrich, N.; Ayguade, E.; Labarta, J. Applied intelligence (Dordrecht), ISSN: 1573-7497 (JCR Impact Factor-2022: 5.3; Quartil: Q2) Publication date: 08/2022 Journal article Assessing biases through visual contexts Arias, A.; Giménez, V.; Cortes, U.; Garcia-Gasulla, D. Electronics (Switzerland), ISSN: 2079-9292 (JCR Impact Factor-2021: 2.69; Quartil: Q3) Publication date: 07/2023 Journal article Focus! Rating XAI methods and finding biases 31st IEEE International Conference on Fuzzy Systems Presentation date: 2022 Presentation of work at congresses Focus and bias: will it blend? 24th International Conference of the Catalan Association for Artificial Intelligence Presentation date: 2022 Presentation of work at congresses A confusion matrix for evaluating feature attribution methods 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops Presentation date: 19/06/2023 Presentation of work at congresses | |
AUTHOR: | PASCUAL PAÑACH, JOSEP |
Title: | A methodology for the automation of building intelligent process control systems |
Reading date: | 10/11/2023 |
Director: | SANCHEZ MARRE, MIQUEL |
Co-director: | CUGUERO ESCOFET, MIQUEL ANGEL |
Mention: | Industrial Doctorate Mention (Generalitat) |
RELATED PUBLICATIONS | |
Application of CBR for intelligent process control of a WWTP Pascual, J.; Cugeró-Escofet, M.A.; Sànchez-Marrè, M.; Aguiló, P. Frontiers in artificial intelligence and applications, ISSN: 0922-6389 (JCR Impact Factor-2019: 0.257; Quartil: Q3) Publication date: 2019 Journal article Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems Pascual, J.; Cugueró-Escofet, M.À.; Sànchez-Marrè, M. Environmental modelling & software, ISSN: 1364-8152 (JCR Impact Factor-2021: 5.471; Quartil: Q1) Publication date: 06/2021 Journal article Economic linear parameter varying model predictive control of the aeration system of a wastewater treatment plant Nejjari, F.; Khoury, B.; Puig, V.; Quevedo, J.; Pascual, J.; de Campos, S. Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2022: 3.9; Quartil: Q2) Publication date: 11/08/2022 Journal article An interoperable workflow-based framework for the automation of building intelligent process control systems 9th International Congress on Environmental Modelling and Software Presentation date: 27/06/2018 Presentation of work at congresses Herramienta basada en minería de datos para la automatización del diseño de sistemas inteligentes en EDAR XXXV Congreso de la Asociación Española de Abastecimientos de Agua y Saneamiento Presentation date: 28/03/2019 Presentation of work at congresses Data mining based tool for the automation of the design of intelligent process control systems in waste water treatment plants 2019 IWA Spain National Young Water Professionals Conference Presentation date: 14/11/2019 Presentation of work at congresses Optimizing online time-series data imputation through case-based reasoning 24th International Conference of the Catalan Association for Artificial Intelligence Presentation date: 2022 Presentation of work at congresses Ensemble model-based method for time series sensors’ data validation and imputation applied to a real waste water treatment plant 11th International Congress on Environmental Modelling and Software Presentation date: 07/07/2022 Presentation of work at congresses | |
AUTHOR: | GONZÁLEZ ROMERO, ALEJANDRO |
Title: | A novel computer scrabble engine based on probability that performs at championship level |
Reading date: | 07/04/2022 |
Director: | ALQUEZAR MANCHO, RENATO |
Mention: | No mention |
RELATED PUBLICATIONS | |
Heuri: a Scrabble© playing engine using a probability-based heuristic González, A.; Alquezar, R.; Ramírez, A.; González, F.; García, I. ICGA journal, ISSN: 1389-6911 (JCR Impact Factor-2022: 0.4; Quartil: Q4) Publication date: 16/02/2022 Journal article El método de anagramas: un rápido y novedoso algoritmo para generar jugadas de Scrabble 10º Congreso Mexicano de Inteligencia Artificial Presentation date: 06/2018 Presentation of work at congresses | |
AUTHOR: | FERNÁNDEZ DE LA ROSA, JAVIER EDUARDO |
Title: | A framework for the analytical and visual interpretation of complex spatiotemporal dynamics in soccer |
Reading date: | 18/01/2022 |
Tutor/a: | ARIAS VICENTE, MARTA |
Director: | BORNN, LUKE |
Co-director: | GAVALDÀ MESTRE, RICARD |
Mention: | Industrial Doctorate Mention (Generalitat) |
RELATED PUBLICATIONS | |
Soccer analytics: Unravelling the complexity of “the beautiful game” Bornn, Luke; Cervone, D.; Fernández, J. Significance, ISSN: 1740-9713 (JCR Impact Factor-2018: 0.315; Quartil: Q4) Publication date: 29/06/2018 Journal article A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions Fernández, J.; Cervone, D. Machine learning, ISSN: 0885-6125 (JCR Impact Factor-2021: 5.414; Quartil: Q2) Publication date: 06/2021 Journal article Towards soccer pass feasibility maps: the role of players’ orientation Arbués-Sangüesa, A.; Martín, A.; Fernández, J.; Haro, G.; Ballester, C. Journal of sports sciences, ISSN: 0264-0414 (JCR Impact Factor-2021: 3.943; Quartil: Q2) Publication date: 06/08/2021 Journal article Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players 27th IEEE International Conference on Image Processing Presentation date: 25/10/2020 Presentation of work at congresses Using player's body-orientation to model pass feasibility in soccer 2020 IEEE Conference on Computer Vision and Pattern Recognition Workshop Presentation date: 14/06/2020 Presentation of work at congresses SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Presentation date: 25/02/2021 Presentation of work at congresses | |
AUTHOR: | JURADO GÓMEZ, SERGIO |
Title: | A novel soft computing approach based on FIR to model and predict energy dynamic systems |
Reading date: | 21/12/2020 |
Director: | NEBOT CASTELLS, MARIA ANGELA |
Co-director: | MUGICA ALVAREZ, FRANCISCO JOSÉ |
Mention: | International Mention |
RELATED PUBLICATIONS | |
K nearest neighbour optimal selection in fuzzy inductive reasoning for smart grid applications 2019 IEEE International Conference on Fuzzy Systems Presentation date: 25/06/2019 Presentation of work at congresses The importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters 10th International Conference on Simulation and Modelling Methodologies, Technologies and Applications Presentation date: 08/07/2020 Presentation of work at congresses | |
AUTHOR: | SABIR, AHMED |
Title: | Enhancing scene text recognition with visual context information. |
Reading date: | 10/11/2020 |
Director: | PADRO CIRERA, LLUIS |
Co-director: | MORENO NOGUER, FRANCESC D'ASSIS |
Mention: | No mention |
RELATED PUBLICATIONS | |
Enhancing text spotting with a language model and visual context information 21è Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial Presentation date: 10/2018 Presentation of work at congresses Visual semantic re-ranker for text spotting 23rd Iberoamerican Congress on Pattern Recognition Presentation date: 03/03/2019 Presentation of work at congresses Visual re-ranking with natural language understanding for text spotting 14th Asian Conference on Computer Vision Presentation date: 12/2018 Presentation of work at congresses Semantic relatedness based re-ranker for text spotting 2019 Conference on Empirical Methods in Natural Language Processing Presentation date: 11/2019 Presentation of work at congresses Textual visual semantic dataset for text spotting 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Presentation date: 15/06/2020 Presentation of work at congresses | |
AUTHOR: | MANERO FONT, JAUME |
Title: | Deep Learning architectures applied to wind time series multi-step forecasting |
Reading date: | 14/07/2020 |
Director: | BÉJAR ALONSO, JAVIER |
Co-director: | CORTÉS GARCÍA, CLAUDIO ULISES |
Mention: | International Mention |
RELATED PUBLICATIONS | |
Gradient boosting feature selection with machine learning classifiers for intrusion detection on power grids Upadhyay, D.; Manero, J.; Zaman, M.; Sampalli, S. IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2021: 4.758; Quartil: Q2) Publication date: 01/03/2021 Journal article Forecastability measures that describe the complexity of a site for deep learning wind predictions Manero, J.; Bejar, J. Supercomputing frontiers and innovations, ISSN: 2313-8734 (JCR Impact Factor-2021: 0.32; Quartil: Q3) Publication date: 29/05/2021 Journal article Wind prediction using deep learning and high performance computing 8th Latin American High Performance Computing Conference Presentation date: 2021 Presentation of work at congresses |
Research projects
START DATE | END DATE | ACTIVITY | FINANCING ENTITY |
---|---|---|---|
02/11/2023 | 31/12/2024 | CONTRATO DE PRESTACIÓN DE SERVICIOS ENTRE ANYSOLUTION Y UNIVERSIDAD POLITÉCNICA DE CATALUÑA Proyecto PLANETIC | ANYSOLUTION SL |
01/11/2023 | 31/08/2025 | LDCI2027 - CORNET | FVV |
01/09/2023 | 31/08/2026 | Apoyo a la decisión en oftalmología basado en Machine Learning y aplicado a imágenes multi-modales de la retina | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2023 | 31/08/2026 | gion of Reliable syntheTIc health data for Federated leArning in seCure daTa Spaces - UPC | AGENCIA ESTATAL DE INVESTIGACION |
17/07/2023 | 23/07/2025 | Disseny de les estructures de dades i repositori comú amb mixtura d'estratègia centalitzada federadaImplementació d'iuna capa intel.ligent de dadesPilot a Vall d'Aran | FUNDACIO TICSALUT |
01/06/2023 | 31/05/2024 | Canvi Climàtic i equitat: mapeig de les emissions en funció del nivell de renda | Centre per a la Cooperació al Desenvolupament |
08/05/2023 | 08/05/2023 | ROBOT SOCIAL, CECI | |
01/05/2023 | 30/04/2026 | Federate Learning and mUlti-party computation Techniques for prostatE cancer | Commission of European Communities |
01/05/2023 | 30/04/2026 | Towards a personalized medicine approach to psychological treatment for psychosis | European Commission |
29/03/2023 | 29/12/2023 | Reinforcement learning per water management | CETAQUA |
21/03/2023 | 22/03/2023 | Patrocini 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 |
03/03/2023 | 31/12/2026 | Siemens Energy AI Chair. Energy sustainability for a decarbonized society 5.0 | SIEMENS GAS AND POWER SAU |
01/03/2023 | 30/06/2023 | Estudi de viabilitat tecnològica d’un recomanador personalitzat de vins basat en tècniques d’IA | ACCIO10 |
09/02/2023 | 01/11/2023 | Recerca-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 |
26/01/2023 | 26/01/2023 | Quick sequence detection | |
01/01/2023 | 31/12/2025 | Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut) | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/01/2023 | 31/12/2025 | Hacia un enfoque de medicina personalizada para el tratamiento psicológico de la psicosis | INSTITUTO DE SALUD CARLOS III |
01/01/2023 | 31/12/2025 | Xarxa d’Innovació de Noves Tecnologies en Salut Mental | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/01/2023 | 31/12/2025 | HUB D'INNOVACIÓ PEDIÀTRICA | Fondo Europeo de Desarrollo Regional |
01/01/2023 | 31/12/2026 | Create a Symbiosis where PV and agriculture can have a mutually beneficial relationship | Commission of European Communities |
23/12/2022 | 31/12/2023 | ASISTENTE 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 INTELIGENCIA | CETAQUA |
22/12/2022 | 22/12/2025 | IA a la transformació digital | FUNDACIÓ i2CAT |
01/12/2022 | 30/11/2024 | Aprendizaje automático y sus aplicaciones en la rehabilitación digital para predecir resultados terapéuticos en pacientes con síndrome post COVID19 con deterioro cognitivo | AGENCIA ESTATAL DE INVESTIGACION |
01/12/2022 | 30/11/2024 | Automatización de procesos de negocio a partir de interacciones humanas | AGENCIA ESTATAL DE INVESTIGACION |
21/11/2022 | 23/02/2023 | CISCO 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 d | CISCO SYSTEMS (SPAIN) SL |
01/11/2022 | 01/12/2022 | Cápsulas inspiracionales programa Apuesta por las TIC | Generalitat de Catalunya (GenCat); FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION |
01/09/2022 | 31/08/2025 | Métodos formales escalables para aplicaciones en entornos reales | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2022 | 20/02/2024 | Programa de generació de talent femení en IA | FUNDACIO BARCELONA MOBILE WORLD CAP |
12/07/2022 | 12/07/2022 | Software: Conceptual Map automated construction | |
01/06/2022 | 30/06/2022 | Supervision of the development of the Python version of Gesconda (Gespy) | |
01/06/2022 | 30/06/2023 | Contrato de colaboración para el desarrollo y aplicación de técnicas de inteligencia artificial para la predicción de la evolución | BEAWRE DIGITAL, SOCIEDAD LIMITADA |
15/05/2022 | 31/07/2022 | Contracte de col.laboració per l’assessorament en la viabilitat de producció i suport en la selecció de fonts de finançaments dels desenvolupaments tècnics associats al projecte ALTERNATIVA ALS RESIDU | T.M.GESTIO SCCL |
01/05/2022 | 30/04/2025 | Catalonia Digital Innovation (DIH4CAT) | European Commission |
01/05/2022 | 30/04/2025 | Catalonia Digital Innovation Hub (DIH4CAT) | DIRECTORATE-GENERAL FOR COMMUNIC. |
23/04/2022 | 31/12/2022 | Donació pel congrés ACAI-2022 | ¿EurAI |
23/04/2022 | 31/12/2022 | Donació pel curs ACAI-2022 | Artificial Intelligence Journal |
19/01/2022 | 19/01/2022 | Diseño ROBOT SOCIAL | |
01/01/2022 | 31/12/2022 | Last mile logistics for autonomous goods delivery | EUROPEAN INST OF INNOV.& TECHNOL. |
01/01/2022 | 31/12/2022 | InnovaCity 2.0 | EUROPEAN INST OF INNOV.& TECHNOL. |
01/01/2022 | 01/03/2023 | Top Rosies Talent | DIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U . |
01/12/2021 | 30/11/2024 | Robots para la asistencia continua y personalizada capaces de explicar-se a si mismos | AGENCIA ESTATAL DE INVESTIGACION |
01/11/2021 | 30/10/2023 | Life in the AI Era | Commission of European Communities |
25/10/2021 | 30/06/2022 | PRESTACIÓ DEL SERVEI DE MENTORIA CIENTÍFICA DINS DE L’ADVISORY BOARD DEL REPTE TDA (TECNOLOGIES DIGITALS AVANÇADES) EN CIBERSEGURETAT | FUNDACIÓ i2CAT |
27/09/2021 | 31/12/2023 | Estudi de seguretat d'un fàrmac | FERRER INTERNACIONAL,S.A. |
01/09/2021 | 31/08/2024 | CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientS | Fundació La Marató de TV3 |
01/09/2021 | 31/08/2024 | Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas. | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2021 | 31/08/2024 | artificial Intelligence threat Reporting and Incident response System | European Commission |
31/08/2021 | 31/08/2021 | Software TP2TD: Text processing pipeline for topic-discovery | |
04/08/2021 | 31/12/2024 | Inteligencia Artificial distribuida para el diagnóstico y tratamiento temprano de enfermedades con gran prevalencia en el envejecimiento | MIN DE ECONOMIA Y COMPETITIVIDAD |
01/08/2021 | 15/03/2024 | Detectability of humpback and gray whales in satellite imagery off California. | The Nature Conservancy |
01/06/2021 | 31/12/2022 | CoviD-19 and brain: cognItion And meNtal heAlth | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agaur) |
01/06/2021 | 31/12/2022 | Realització del projecte de R+D consistent en la millora de funcionalitats de la tecnologia consistent en “Sistema Interoperable basat en tècniques data-driven i model-driven per a l’Automatització de | CCB SERVEIS MEDI AMBIENTALS, SA |
01/06/2021 | 01/03/2023 | AI for Tourism | Centre of Innovation for Datatech and Artificial Intelligence |
01/04/2021 | 31/12/2021 | dynamiC spEed Limits compliancE for optimiSed Traffic managEment | EUROPEAN INST OF INNOV.& TECHNOL. |
01/04/2021 | 31/03/2022 | WalCycData: A data infrastructure for vulnerable road users | EUROPEAN INST OF INNOV.& TECHNOL. |
01/02/2021 | 31/01/2024 | Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalana | FUNDACIÓ i2CAT |
15/01/2021 | 30/09/2021 | El primero de los objetivos de este proyecto sobre la generación del modelo en forma de gemelo digital se desarrollará a través de la supervisión y asesoramiento del estudio y trabajo desarrollado por | T.M.GESTIO SCCL |
01/01/2021 | 31/12/2024 | A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture Systems | Commission of European Communities |
01/01/2021 | 31/03/2024 | Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop] | Commission of European Communities |
01/01/2021 | 31/12/2023 | Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI | Commission of European Communities |
01/01/2021 | 31/12/2022 | T3.3 Task Force Digitalización vertical (UPC) | ATOS SPAIN S.A. |
01/01/2021 | 31/12/2021 | ANOMALY FASE 0 | Agència per la Competitivitat de l'Empresa (ACCIÓ) |
01/01/2021 | 01/04/2022 | Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiència | Centre of Innovation for Data tech and Artificial Intelligence |
01/12/2020 | 31/12/2021 | Promoción de una longevidad mental saludable en España y Portugal mediante el desarrollo de una aplicación tecnológica de soporte a la terapia de reminiscencia basada en el patrimonio cultural inmaterial | Consejo Superior de Investigaciones Científicas; Fondos FEDER |
01/12/2020 | 31/10/2021 | CiutadanIA: Intel·ligència Artificial per a tothom | Generalitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori |
19/11/2020 | 15/02/2022 | Promoción de una longevidad mental saludable en España y Portugal mediante el desarrollo de una aplicación tecnológica de soporte a la terapia de reminiscencia basada en el patrimonio cultural inmater | FUNDACIÓN GENERAL CSIC |
01/11/2020 | 31/12/2022 | H2020-894116-SYN+AIR | SESAR JOINT UNDERTAKING |
28/10/2020 | 31/12/2021 | L2-Projectes de desenvolupament i innovació - Realització d'estudis de viabilitat tècnica - ANOMALY - FASE 0 | Agència per la Competitivitat de l'Empresa (ACCIÓ) |
19/10/2020 | 18/10/2024 | CA19122 - European Network For Gender Balance in Informatics | European Cooperation in Science and Technology |
15/10/2020 | 27/07/2021 | Detecció d'avaries en sistemes multisensorials | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/10/2020 | 01/12/2020 | CCT 2020/KG-06: I què hi diuen les dones al Robert? (Que-Robert) | Palau Robert |
01/09/2020 | 31/08/2021 | Interpretació del topic modelling en dades textuals | Universitat Politècnica de Catalunya |
15/08/2020 | 31/12/2022 | Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT) | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
13/08/2020 | 13/08/2020 | Discoursive Process Modeling Empowered with Envolving Process Model Search and Optimization | |
30/07/2020 | 30/12/2020 | Knowledge Adaptive Recommender for Intelligent Nutrition | CUBE TECHNOLOGY INNOVATION,S.L. |
15/07/2020 | 14/02/2021 | Uso de algoritmos de aprendizaje por refuerzo en problemas de planificación | ITHINKUPC, S.L. |
09/07/2020 | 15/01/2021 | PRimera fase del projecte KARIN Desenvolupament del mòdul de distàncies semàntiques pel recomanador d'aliments | CUBE TECHNOLOGY INNOVATION,S.L. |
01/07/2020 | 31/12/2022 | Xarxa Fourth Industrial Revolution | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/07/2020 | 31/12/2020 | Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in Cities | EUROPEAN INST OF INNOV.& TECHNOL. |
01/07/2020 | 31/12/2022 | Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM) | Fondos FEDER |
30/06/2020 | 30/06/2020 | Model Judge | |
01/06/2020 | 31/05/2023 | Colaboración robot-humano para el transporte y entrega de mercancías | AGENCIA ESTATAL DE INVESTIGACION |
01/06/2020 | 30/09/2023 | Aprendizaje Automático para la Modelización de la Dinámica Molecular de las Proteinas GPCR | AGENCIA ESTATAL DE INVESTIGACION |
01/06/2020 | 31/05/2024 | Análisis de texto médico para la assistencia a la predicción de diagnosis | AGENCIA ESTATAL DE INVESTIGACION |
01/04/2020 | 31/01/2021 | Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territori | Universitat Politècnica de Catalunya |
03/03/2020 | 31/12/2022 | Hub d'Innovació Pediàtrica | Fondos FEDER |
01/03/2020 | 28/02/2026 | Interactive Machine Learning for Compositional Models of Natural Language | European Research Council (ERC) |
01/03/2020 | 31/12/2022 | Centre de Recerca i Transferència en Salut Mental (CRETSAM) | Fondos FEDER |
01/03/2020 | 28/02/2021 | Systematization of the acquisition of data throughout Ecuador of the beneficiaries or potential beneficiaries through a digital platform that allows citizens to locate the sites where the physical-rhythmic and recreational activities are carried out | Centre de Cooperació per al Desenvolupament , UPC |
01/01/2020 | 31/12/2020 | Top Secret Rosies | Ajuntament de Barcelona |
27/12/2019 | 27/09/2021 | Integrated care for frail older adults in the community | INSTITUT DE CULTURA DE BARCELONA |
01/11/2019 | 01/04/2020 | Sistemas recomendadores para el desarrollo de una solución de asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial. Proyecto HR2020 de FBLC | ITHINKUPC, S.L. |
01/09/2019 | 28/02/2022 | Artificial Intelligence skills for ICT professionals | Commission of European Communities |
01/09/2019 | 28/02/2023 | GAVIUS: from reactive to proactive public administrations | Commission of European Communities |
01/06/2019 | 31/12/2021 | Digitalization 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 gas | Siemens |
04/04/2019 | 31/10/2020 | Multiparametric MR approaches for non-invasive Gliobastoma therapy response follow-up | Commission of European Communities |
01/04/2019 | 31/03/2023 | Future human-machine (AI) Interactlon fon in-car/mobility exoerience | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/03/2019 | 28/02/2020 | Adquisición de datos para optimizar la oferta de servicios, de promoción de la vida sana, entre los habitantes de zonas desfavorables de Guayaquil | Centre de Cooperació per al Desenvolupament , UPC |
01/01/2019 | 31/12/2021 | A European AI On Demand Platform and Ecosystem | Commission of European Communities |
01/01/2019 | 30/06/2019 | SEAT-SmarT11: Proyecto de optimización de recursos para ajustes de calidad | Càtedra SEAT - UPC |
01/01/2019 | 30/09/2022 | Razonamiento Formal para Tecnologías Facilitadoras y Emergentes | AGENCIA ESTATAL DE INVESTIGACION |
01/01/2019 | 31/10/2022 | Evolving towards DIgital Twins in Healthcare | AGENCIA ESTATAL DE INVESTIGACION |
01/01/2019 | 31/12/2022 | 001-P-001643_Agrupació emergent Looming Factory | GENCAT - DEPT. D'EMPRESA I OCUPACIO |
01/01/2019 | 01/08/2021 | Data Science for Gender Gap (DSGG) | Pendent per manca de dades |
01/01/2019 | 31/12/2022 | INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicine | European Commission |
01/01/2019 | 31/12/2019 | identificación de perfiles de consumo de servicios sanitarios en el estado de Nueva Gales, Australia | Australian National University |
01/01/2019 | 31/12/2019 | Analysis of case management in Australia through Clustering Based on Rules and data science approach | Visual and Decision Analytics |
09/12/2010 | 31/08/2026 | ALEA-SOFT | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona |
23/03/2010 | 31/08/2026 | Fundació Salut i Envelliment UAB | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona |
Teaching staff and research groups
Research groups
UPC groups:
Teachers
Doctoral Programme teachers
- Alquezar Mancho, René
- Angulo Bahon, Cecilio
- Arias Vicente, Marta
- Arratia Quesada, Argimiro
- Bejar Alonso, Javier
- Cortes Garcia, Ulises
- Garcia Gasulla, Dario
- Gibert Oliveras, Karina
- Larrosa Bondia, Francisco Javier
- Martin Muñoz, Mario
- Mugica Alvarez, Francisco José
- Nebot Castells, Maria Angela
- Padro Cirera, Lluis
- Sanchez Marre, Miquel
- Vazquez Salceda, Javier
- Vellido Alcacena, Alfredo
Other teachers linked to the Doctoral Programme
External teachers
PUIG VALLS, DOMENEC (urv - https://deim.urv.cat/personal/llistat/9.html)
MORENO NOGUER, FRANCESC (IRI - https://www.iri.upc.edu/)
CUGUERÓ ESCOFET, MIGUEL ANGEL (CONSORCI BESÓS-TORDERA - https://www.iri.upc.edu/index.php)
RUIZ DE VILLA ROBERT, ALEIX (UAB - https://www.aleixruizdevilla.net/)
GARCÍA GÓMEZ, DAVID
MÀRQUEZ VILLODRE, LLUÍS (https://es.linkedin.com/in/lluis-marquez-66372515a)
ESPAÑA, CRISTINA BONET (https://www.cs.upc.edu/~cristinae/CV/index.php)
Research projects
START DATE | END DATE | ACTIVITY | FINANCING ENTITY |
---|---|---|---|
02/11/2023 | 31/12/2024 | CONTRATO DE PRESTACIÓN DE SERVICIOS ENTRE ANYSOLUTION Y UNIVERSIDAD POLITÉCNICA DE CATALUÑA Proyecto PLANETIC | ANYSOLUTION SL |
01/11/2023 | 31/08/2025 | LDCI2027 - CORNET | FVV |
01/09/2023 | 31/08/2026 | Apoyo a la decisión en oftalmología basado en Machine Learning y aplicado a imágenes multi-modales de la retina | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2023 | 31/08/2026 | gion of Reliable syntheTIc health data for Federated leArning in seCure daTa Spaces - UPC | AGENCIA ESTATAL DE INVESTIGACION |
17/07/2023 | 23/07/2025 | Disseny de les estructures de dades i repositori comú amb mixtura d'estratègia centalitzada federadaImplementació d'iuna capa intel.ligent de dadesPilot a Vall d'Aran | FUNDACIO TICSALUT |
01/06/2023 | 31/05/2024 | Canvi Climàtic i equitat: mapeig de les emissions en funció del nivell de renda | Centre per a la Cooperació al Desenvolupament |
08/05/2023 | 08/05/2023 | ROBOT SOCIAL, CECI | |
01/05/2023 | 30/04/2026 | Federate Learning and mUlti-party computation Techniques for prostatE cancer | Commission of European Communities |
01/05/2023 | 30/04/2026 | Towards a personalized medicine approach to psychological treatment for psychosis | European Commission |
29/03/2023 | 29/12/2023 | Reinforcement learning per water management | CETAQUA |
21/03/2023 | 22/03/2023 | Patrocini 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 |
03/03/2023 | 31/12/2026 | Siemens Energy AI Chair. Energy sustainability for a decarbonized society 5.0 | SIEMENS GAS AND POWER SAU |
01/03/2023 | 30/06/2023 | Estudi de viabilitat tecnològica d’un recomanador personalitzat de vins basat en tècniques d’IA | ACCIO10 |
09/02/2023 | 01/11/2023 | Recerca-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 |
26/01/2023 | 26/01/2023 | Quick sequence detection | |
01/01/2023 | 31/12/2025 | Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut) | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/01/2023 | 31/12/2025 | Hacia un enfoque de medicina personalizada para el tratamiento psicológico de la psicosis | INSTITUTO DE SALUD CARLOS III |
01/01/2023 | 31/12/2025 | Xarxa d’Innovació de Noves Tecnologies en Salut Mental | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/01/2023 | 31/12/2025 | HUB D'INNOVACIÓ PEDIÀTRICA | Fondo Europeo de Desarrollo Regional |
01/01/2023 | 31/12/2026 | Create a Symbiosis where PV and agriculture can have a mutually beneficial relationship | Commission of European Communities |
23/12/2022 | 31/12/2023 | ASISTENTE 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 INTELIGENCIA | CETAQUA |
22/12/2022 | 22/12/2025 | IA a la transformació digital | FUNDACIÓ i2CAT |
01/12/2022 | 30/11/2024 | Aprendizaje automático y sus aplicaciones en la rehabilitación digital para predecir resultados terapéuticos en pacientes con síndrome post COVID19 con deterioro cognitivo | AGENCIA ESTATAL DE INVESTIGACION |
01/12/2022 | 30/11/2024 | Automatización de procesos de negocio a partir de interacciones humanas | AGENCIA ESTATAL DE INVESTIGACION |
21/11/2022 | 23/02/2023 | CISCO 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 d | CISCO SYSTEMS (SPAIN) SL |
01/11/2022 | 01/12/2022 | Cápsulas inspiracionales programa Apuesta por las TIC | Generalitat de Catalunya (GenCat); FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION |
01/09/2022 | 31/08/2025 | Métodos formales escalables para aplicaciones en entornos reales | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2022 | 20/02/2024 | Programa de generació de talent femení en IA | FUNDACIO BARCELONA MOBILE WORLD CAP |
12/07/2022 | 12/07/2022 | Software: Conceptual Map automated construction | |
01/06/2022 | 30/06/2022 | Supervision of the development of the Python version of Gesconda (Gespy) | |
01/06/2022 | 30/06/2023 | Contrato de colaboración para el desarrollo y aplicación de técnicas de inteligencia artificial para la predicción de la evolución | BEAWRE DIGITAL, SOCIEDAD LIMITADA |
15/05/2022 | 31/07/2022 | Contracte de col.laboració per l’assessorament en la viabilitat de producció i suport en la selecció de fonts de finançaments dels desenvolupaments tècnics associats al projecte ALTERNATIVA ALS RESIDU | T.M.GESTIO SCCL |
01/05/2022 | 30/04/2025 | Catalonia Digital Innovation (DIH4CAT) | European Commission |
01/05/2022 | 30/04/2025 | Catalonia Digital Innovation Hub (DIH4CAT) | DIRECTORATE-GENERAL FOR COMMUNIC. |
23/04/2022 | 31/12/2022 | Donació pel congrés ACAI-2022 | ¿EurAI |
23/04/2022 | 31/12/2022 | Donació pel curs ACAI-2022 | Artificial Intelligence Journal |
19/01/2022 | 19/01/2022 | Diseño ROBOT SOCIAL | |
01/01/2022 | 31/12/2022 | Last mile logistics for autonomous goods delivery | EUROPEAN INST OF INNOV.& TECHNOL. |
01/01/2022 | 31/12/2022 | InnovaCity 2.0 | EUROPEAN INST OF INNOV.& TECHNOL. |
01/01/2022 | 01/03/2023 | Top Rosies Talent | DIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U . |
01/12/2021 | 30/11/2024 | Robots para la asistencia continua y personalizada capaces de explicar-se a si mismos | AGENCIA ESTATAL DE INVESTIGACION |
01/11/2021 | 30/10/2023 | Life in the AI Era | Commission of European Communities |
25/10/2021 | 30/06/2022 | PRESTACIÓ DEL SERVEI DE MENTORIA CIENTÍFICA DINS DE L’ADVISORY BOARD DEL REPTE TDA (TECNOLOGIES DIGITALS AVANÇADES) EN CIBERSEGURETAT | FUNDACIÓ i2CAT |
27/09/2021 | 31/12/2023 | Estudi de seguretat d'un fàrmac | FERRER INTERNACIONAL,S.A. |
01/09/2021 | 31/08/2024 | CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientS | Fundació La Marató de TV3 |
01/09/2021 | 31/08/2024 | Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas. | AGENCIA ESTATAL DE INVESTIGACION |
01/09/2021 | 31/08/2024 | artificial Intelligence threat Reporting and Incident response System | European Commission |
31/08/2021 | 31/08/2021 | Software TP2TD: Text processing pipeline for topic-discovery | |
04/08/2021 | 31/12/2024 | Inteligencia Artificial distribuida para el diagnóstico y tratamiento temprano de enfermedades con gran prevalencia en el envejecimiento | MIN DE ECONOMIA Y COMPETITIVIDAD |
01/08/2021 | 15/03/2024 | Detectability of humpback and gray whales in satellite imagery off California. | The Nature Conservancy |
01/06/2021 | 31/12/2022 | CoviD-19 and brain: cognItion And meNtal heAlth | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agaur) |
01/06/2021 | 31/12/2022 | Realització del projecte de R+D consistent en la millora de funcionalitats de la tecnologia consistent en “Sistema Interoperable basat en tècniques data-driven i model-driven per a l’Automatització de | CCB SERVEIS MEDI AMBIENTALS, SA |
01/06/2021 | 01/03/2023 | AI for Tourism | Centre of Innovation for Datatech and Artificial Intelligence |
01/04/2021 | 31/12/2021 | dynamiC spEed Limits compliancE for optimiSed Traffic managEment | EUROPEAN INST OF INNOV.& TECHNOL. |
01/04/2021 | 31/03/2022 | WalCycData: A data infrastructure for vulnerable road users | EUROPEAN INST OF INNOV.& TECHNOL. |
01/02/2021 | 31/01/2024 | Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalana | FUNDACIÓ i2CAT |
15/01/2021 | 30/09/2021 | El primero de los objetivos de este proyecto sobre la generación del modelo en forma de gemelo digital se desarrollará a través de la supervisión y asesoramiento del estudio y trabajo desarrollado por | T.M.GESTIO SCCL |
01/01/2021 | 31/12/2024 | A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture Systems | Commission of European Communities |
01/01/2021 | 31/03/2024 | Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop] | Commission of European Communities |
01/01/2021 | 31/12/2023 | Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI | Commission of European Communities |
01/01/2021 | 31/12/2022 | T3.3 Task Force Digitalización vertical (UPC) | ATOS SPAIN S.A. |
01/01/2021 | 31/12/2021 | ANOMALY FASE 0 | Agència per la Competitivitat de l'Empresa (ACCIÓ) |
01/01/2021 | 01/04/2022 | Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiència | Centre of Innovation for Data tech and Artificial Intelligence |
01/12/2020 | 31/12/2021 | Promoción de una longevidad mental saludable en España y Portugal mediante el desarrollo de una aplicación tecnológica de soporte a la terapia de reminiscencia basada en el patrimonio cultural inmaterial | Consejo Superior de Investigaciones Científicas; Fondos FEDER |
01/12/2020 | 31/10/2021 | CiutadanIA: Intel·ligència Artificial per a tothom | Generalitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori |
19/11/2020 | 15/02/2022 | Promoción de una longevidad mental saludable en España y Portugal mediante el desarrollo de una aplicación tecnológica de soporte a la terapia de reminiscencia basada en el patrimonio cultural inmater | FUNDACIÓN GENERAL CSIC |
01/11/2020 | 31/12/2022 | H2020-894116-SYN+AIR | SESAR JOINT UNDERTAKING |
28/10/2020 | 31/12/2021 | L2-Projectes de desenvolupament i innovació - Realització d'estudis de viabilitat tècnica - ANOMALY - FASE 0 | Agència per la Competitivitat de l'Empresa (ACCIÓ) |
19/10/2020 | 18/10/2024 | CA19122 - European Network For Gender Balance in Informatics | European Cooperation in Science and Technology |
15/10/2020 | 27/07/2021 | Detecció d'avaries en sistemes multisensorials | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/10/2020 | 01/12/2020 | CCT 2020/KG-06: I què hi diuen les dones al Robert? (Que-Robert) | Palau Robert |
01/09/2020 | 31/08/2021 | Interpretació del topic modelling en dades textuals | Universitat Politècnica de Catalunya |
15/08/2020 | 31/12/2022 | Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT) | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
13/08/2020 | 13/08/2020 | Discoursive Process Modeling Empowered with Envolving Process Model Search and Optimization | |
30/07/2020 | 30/12/2020 | Knowledge Adaptive Recommender for Intelligent Nutrition | CUBE TECHNOLOGY INNOVATION,S.L. |
15/07/2020 | 14/02/2021 | Uso de algoritmos de aprendizaje por refuerzo en problemas de planificación | ITHINKUPC, S.L. |
09/07/2020 | 15/01/2021 | PRimera fase del projecte KARIN Desenvolupament del mòdul de distàncies semàntiques pel recomanador d'aliments | CUBE TECHNOLOGY INNOVATION,S.L. |
01/07/2020 | 31/12/2022 | Xarxa Fourth Industrial Revolution | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/07/2020 | 31/12/2020 | Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in Cities | EUROPEAN INST OF INNOV.& TECHNOL. |
01/07/2020 | 31/12/2022 | Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM) | Fondos FEDER |
30/06/2020 | 30/06/2020 | Model Judge | |
01/06/2020 | 31/05/2023 | Colaboración robot-humano para el transporte y entrega de mercancías | AGENCIA ESTATAL DE INVESTIGACION |
01/06/2020 | 30/09/2023 | Aprendizaje Automático para la Modelización de la Dinámica Molecular de las Proteinas GPCR | AGENCIA ESTATAL DE INVESTIGACION |
01/06/2020 | 31/05/2024 | Análisis de texto médico para la assistencia a la predicción de diagnosis | AGENCIA ESTATAL DE INVESTIGACION |
01/04/2020 | 31/01/2021 | Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territori | Universitat Politècnica de Catalunya |
03/03/2020 | 31/12/2022 | Hub d'Innovació Pediàtrica | Fondos FEDER |
01/03/2020 | 28/02/2026 | Interactive Machine Learning for Compositional Models of Natural Language | European Research Council (ERC) |
01/03/2020 | 31/12/2022 | Centre de Recerca i Transferència en Salut Mental (CRETSAM) | Fondos FEDER |
01/03/2020 | 28/02/2021 | Systematization of the acquisition of data throughout Ecuador of the beneficiaries or potential beneficiaries through a digital platform that allows citizens to locate the sites where the physical-rhythmic and recreational activities are carried out | Centre de Cooperació per al Desenvolupament , UPC |
01/01/2020 | 31/12/2020 | Top Secret Rosies | Ajuntament de Barcelona |
27/12/2019 | 27/09/2021 | Integrated care for frail older adults in the community | INSTITUT DE CULTURA DE BARCELONA |
01/11/2019 | 01/04/2020 | Sistemas recomendadores para el desarrollo de una solución de asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial. Proyecto HR2020 de FBLC | ITHINKUPC, S.L. |
01/09/2019 | 28/02/2022 | Artificial Intelligence skills for ICT professionals | Commission of European Communities |
01/09/2019 | 28/02/2023 | GAVIUS: from reactive to proactive public administrations | Commission of European Communities |
01/06/2019 | 31/12/2021 | Digitalization 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 gas | Siemens |
04/04/2019 | 31/10/2020 | Multiparametric MR approaches for non-invasive Gliobastoma therapy response follow-up | Commission of European Communities |
01/04/2019 | 31/03/2023 | Future human-machine (AI) Interactlon fon in-car/mobility exoerience | AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca |
01/03/2019 | 28/02/2020 | Adquisición de datos para optimizar la oferta de servicios, de promoción de la vida sana, entre los habitantes de zonas desfavorables de Guayaquil | Centre de Cooperació per al Desenvolupament , UPC |
01/01/2019 | 31/12/2021 | A European AI On Demand Platform and Ecosystem | Commission of European Communities |
01/01/2019 | 30/06/2019 | SEAT-SmarT11: Proyecto de optimización de recursos para ajustes de calidad | Càtedra SEAT - UPC |
01/01/2019 | 30/09/2022 | Razonamiento Formal para Tecnologías Facilitadoras y Emergentes | AGENCIA ESTATAL DE INVESTIGACION |
01/01/2019 | 31/10/2022 | Evolving towards DIgital Twins in Healthcare | AGENCIA ESTATAL DE INVESTIGACION |
01/01/2019 | 31/12/2022 | 001-P-001643_Agrupació emergent Looming Factory | GENCAT - DEPT. D'EMPRESA I OCUPACIO |
01/01/2019 | 01/08/2021 | Data Science for Gender Gap (DSGG) | Pendent per manca de dades |
01/01/2019 | 31/12/2022 | INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicine | European Commission |
01/01/2019 | 31/12/2019 | identificación de perfiles de consumo de servicios sanitarios en el estado de Nueva Gales, Australia | Australian National University |
01/01/2019 | 31/12/2019 | Analysis of case management in Australia through Clustering Based on Rules and data science approach | Visual and Decision Analytics |
09/12/2010 | 31/08/2026 | ALEA-SOFT | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona |
23/03/2010 | 31/08/2026 | Fundació Salut i Envelliment UAB | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona |
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
- Verification Memory (Doctoral Programme) - 2012
- Verification Resolution (MECD)
- Agreement of the Council of Ministers (BOE)
Monitoring
- Monitoring report (Doctoral Programme) - 2016
- University monitoring report (Doctoral School) - 2016
- Follow-up Assessment Report (AQU) - 2017
- Follow-up Assessment Report (AQU) - 2020
Accreditation
- Accreditation Report (Doctoral Programme) - 2018
- University Monitoring and Accreditation Report (Doctoral School) - 2018
- Official Degree Accreditation Evaluation Report (AQU) - 2019