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Artificial Intelligence

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”.


COORDINATOR

Larrosa Bondia, Francisco Javier

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

Programme website

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

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

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

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

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

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

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

Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
STRUCTURAL UNITS:
  • Department of Computer Science (PROMOTORA)
Specific URL of the doctoral program:
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

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

In addition, the following may apply:

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

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

Admission criteria and merits assessment

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.

More information at the general registration section

Monitoring and evaluation of the doctoral student

Procedure for the preparation and defense of the research plan

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

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

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

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

Formation activities

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.

More information at the PhD theses section

Permanence

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

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

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

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

International Mention

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

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

Learning resources

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

No hi ha registres per mostrar.

Last update: 06/10/2022 04:45:23.

List of lodged theses

No hi ha registres per mostrar.

Last update: 06/10/2022 04:30:28.

List of defended theses by year

  • FERNÁNDEZ DE LA ROSA, JAVIER EDUARDO: A framework for the analytical and visual interpretation of complex spatiotemporal dynamics in soccer
    Author: FERNÁNDEZ DE LA ROSA, JAVIER EDUARDO
    Thesis link: http://hdl.handle.net/10803/673529
    Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
    Department: Department of Computer Science (CS)
    Mode: Normal
    Reading date: 18/01/2022
    Thesis director: BORNN, LUKE | GAVALDÀ MESTRE, RICARD

    Committee:
         PRESIDENT: DAVIS, JESSE
         SECRETARI: ROMERO MERINO, ENRIQUE
         VOCAL: SWARTZ, TIM
    Thesis abstract: Sports analytics is an emerging field focused on the application of advanced data analysis for assessing the performance of professional athletes and teams. In soccer, the integration of data analysis is in its initial steps, primarily due to the difficulty of making sense of soccer's complex spatiotemporal relationships and effectively translating findings to practitioners. Recently, the availability of spatiotemporal data has given rise to applying statistical approaches to address problems such as estimating passing and scoring probability, or the evaluation of players' mental pressure. However, most of these approaches focus on isolated aspects of the sport, while coaches tend to focus on the broader interplay of all 22 players on the pitch. To address the non-stop flow of questions that coaching staff deal with daily, we identify the need for a flexible analysis framework that allows us to answer these questions quickly, accurately, and in a visually-interpretable way while capturing the complex spatial and contextual factors that rule the game.We propose developing such a comprehensive framework through the concept of the expected possession value (EPV). First introduced in basketball, EPV constitutes an instantaneous estimate of the expected points to be scored at the end of a possession. However, aside from a shared high-level goal, our focus on soccer necessitates a drastically different approach to account for the sport's nuances, such as looser notions of possession, the ability of passes to happen at any location, and space-time dependent turnover evaluation. Following this, we propose modeling EPV in soccer by addressing the question, "can we estimate the expectation of a team scoring or conceding the next goal at any time in the game?" From here, we address a series of derived interrogations, such as how should the EPV expression be structured so coaches can more easily interpret it? Can we produce calibrated and interpretable estimates for each of its components? Can we develop representative and soccer-specific features with the aid of coaches? Is it possible to learn complex features from raw level spatiotemporal data? Finally, and most importantly, can we produce compelling practical applications?These questions are successfully addressed in this thesis, where we present a series of contributions for both the machine learning and soccer analytics fields related to the modeling and practical interpretation of complex spatiotemporal dynamics. We propose a decomposed modeling approach where a series of foundational soccer components can be estimated separately and then merged to provide a single EPV estimation, providing flexibility to this integrated model. From a practical standpoint, we leverage several function approximation approaches to exploit complex relationships in spatiotemporal tracking data. An essential contribution of this work is the proposal of SoccerMap, a flexible deep learning architecture capable of producing accurate and visually-interpretable probability surfaces in a broad range of problems. Based on a large set of spatial and contextual features developed, we model and provide accurate estimates for each of the components of the EPV components. The flexibility and interpretation capabilities of the proposed model allow us to produce a broad set of practical applications related to on-ball performance, off-ball performance, and match analysis in soccer, and open the door for its future adaption to other sports.This thesis was developed under an Industrial Ph.D. program and carried out entirely at Fútbol Club Barcelona, which promoted a close collaboration with professional coaches. As a result, a vast part of the ideas developed in this thesis is now part of the club's daily player and team performance analysis pipeline.

  • GONZÁLEZ ROMERO, ALEJANDRO: A novel computer scrabble engine based on probability that performs at championship level
    Author: GONZÁLEZ ROMERO, ALEJANDRO
    Thesis link: http://hdl.handle.net/10803/674192
    Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
    Department: Department of Computer Science (CS)
    Mode: Normal
    Reading date: 07/04/2022
    Thesis director: ALQUEZAR MANCHO, RENATO

    Committee:
         PRESIDENT: CARRERAS PÉREZ, XAVIER
         SECRETARI: ROMERO MERINO, ENRIQUE
         VOCAL: SANCHEZ SANCHEZ, FRANCISCO
    Thesis abstract: The thesis starts by giving an introduction to the game of Scrabble, then mentions state-of-the-art computer Scrabble programs and presents some characteristics of our developed Scrabble engine Heuri. Some brief notions of Game Theory are given, along with history of some games in Artificial Intelligence; the fundamental algorithms for game playing, as well as state-of-the-art engines and the algorithms used by them, are presented. Basic elements of Scrabble, such as the Scrabble rules and the letter distribution, are given. Some history and state-of-the-art of Computer Scrabble are commented. For instance, the generation methods of valid moves based on the data structure DAWG (Directed Acyclic Word Graph) and also the variant GADDAG are recalled. These methods are used by the state-of-the-art Scrabble engines Quackle and Maven.Then, the contributions of this thesis are presented. A Spanish lexicon for playing Scrabble has been built that is used by Heuri engines. From this construction, a detailed study and classification of Spanish irregular verbs has been provided. A novel Scrabble move generator based on anagrams has been designed and implemented, which has been shown to be faster than the GADDAG-based generator used in Quackle engine. This method is similar to the way Scrabble players look for a move, searching for anagrams and a spot to play on the board. Next, we address the evaluation of moves when playing Scrabble; the quality of your game depends on deciding what move should be played given a certain board and a rack with tiles. This decision was made initially by Heuri trying several heuristics which ended up with the construction of several engines. We give the explanation of the heuristics used in these engines, all of them based on probabilities. All these initial heuristic evaluation functions (up to six) do not use forward looking, they are static evaluators. They have shown, after testing, an increasing playing performance, which allow Heuri to beat (top-level) expert human players in Spanish, without the need of using sampling and simulation techniques. These heuristics mainly consider the possibility of achieving a bingo on the actual board, whereas Quackle used pre-calculated values (superleaves) regardless of the latter. Then, in order to improve the quality of play of Heuri even more, some additional engines are presented in which look ahead is employed. The HeuriSamp engine, which evaluates a 2-ply search, permits to obtain a defense value. The HeuriSim engine uses a 3-ply adversarial search tree; it contemplates the best first moves (according to Heuri sixth engine heuristic) from Player 1, then some replies to these moves (Player 2 moves) and then some replies to these replies (Player 1 moves). Finally, to improve these engines, opponent modeling is used; this technique makes predictions on some of the opponents' tiles based on the last play made by the opponent. We present results obtained by playing thousands of Heuri vs Heuri games, collecting important information: general statistics of Scrabble game, like a 16 point handicap of the second player, and word statistics in Spanish, like a list of the most frequently played bingos (words that use all 7 tiles of a player's rack). In addition, we present results of matches played by Heuri against top-level humans in Spanish and results obtained by massive playing of different Heuri engines against the Quackle engine in Spanish, French and English. All these match results demonstrate the championship level performance of the Heuri engines in the three languages, especially of the last developed engine that includes simulation and opponent modeling techniques. From here, conclusions of the thesis are drawn and work for the future is envisaged.

Last update: 06/10/2022 05:01:04.

Theses related publications

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-2020: 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-2019: 5.0
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-2020: 0.0
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 Conference on Computer Vision and Pattern Recognition Workshop
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-2019: 9.3
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-2019: 0.238; 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

AUTHOR:NGUYEN, JENNIFER THANH VAN
Title:Knowledge aggregation in people recommender systems:matching skills to tasks
Reading date:08/11/2019
Director:ANGULO BAHON, CECILIO
Co-director:AGELL JANÉ, NÚRIA
Mention:No mention
RELATED PUBLICATIONS
An OWA-based hierarchical clustering approach to understanding users’ lifestyles
Nguyen, J.; Armisen, A.; Sánchez, G.; Casabayó, M.; Agell, N.
Knowledge-based systems, ISSN: 0950-7051 (JCR Impact Factor-2020: 8.038; Quartil: Q1)
Publication date: 02/2020
Journal article

Fusing hotel ratings and reviews with hesitant terms and consensus measures
Nguyen, J.; Montserrat, J.; Agell, N.; Sanchez, M.; Ruiz, F.
Neural computing and applications, ISSN: 0941-0643 (JCR Impact Factor-2020: 5.606; Quartil: Q1)
Publication date: 27/02/2020
Journal article

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
15/05/202231/07/2022Contracte 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 RESIDUT.M.GESTIO SCCL
23/04/202231/12/2022Donació pel congrés ACAI-2022¿EurAI
19/01/202219/01/2022Diseño ROBOT SOCIAL
01/01/202231/12/2022Last mile logistics for autonomous goods deliveryEUROPEAN INST OF INNOV.& TECHNOL.
25/10/202130/06/2022PRESTACIÓ DEL SERVEI DE MENTORIA CIENTÍFICA DINS DE L’ADVISORY BOARD DEL REPTE TDA (TECNOLOGIES DIGITALS AVANÇADES) EN CIBERSEGURETATFUNDACIÓ i2CAT
27/09/202131/12/2023La IP és Membre del Comité de Monitorització de Seguretat de l'assaig clínic ADORE de Laboratoris FerrerFERRER INTERNACIONAL,S.A.
01/09/202131/08/2024CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientSFundació La Marató de TV3
01/09/202131/08/2024Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas.AGENCIA ESTATAL DE INVESTIGACION
31/08/202131/08/2021Software TP2TD: Text processing pipeline for topic-discovery
04/08/202131/12/2024Inteligencia Artificial distribuida para el diagnóstico y tratamiento temprano de enfermedades con gran prevalencia en el envejecimientoMIN DE ECONOMIA Y COMPETITIVIDAD
01/08/202131/01/2023Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
01/06/202131/12/2022CoviD-19 and brain: cognItion And meNtal heAlthAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
01/06/202131/12/2022Realització 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 deCCB SERVEIS MEDI AMBIENTALS, SA
01/04/202131/12/2021dynamiC spEed Limits compliancE for optimiSed Traffic managEmentEUROPEAN INST OF INNOV.& TECHNOL.
01/02/202131/01/2024Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalanaFUNDACIÓ i2CAT
15/01/202130/09/2021El 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 porT.M.GESTIO SCCL
01/01/202131/12/2024A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture SystemsCommission of European Communities
01/01/202131/12/2023Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]Commission of European Communities
01/01/202131/12/2023Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AICommission of European Communities
01/01/202131/12/2022T3.3 Task Force Digitalización vertical (UPC)ATOS SPAIN S.A.
01/01/202131/12/2021ANOMALY FASE 0Agència per la Competitivitat de l'Empresa (ACCIÓ)
01/01/202101/04/2022Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiènciaCentre of Innovation for Data tech and Artificial Intelligence
01/12/202031/12/2021Promoción 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 inmaterialConsejo Superior de Investigaciones Científicas; Fondos FEDER
19/11/202031/12/2021Promoción 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 inmaterFUNDACIÓN GENERAL CSIC
28/10/202031/12/2021L2-Projectes de desenvolupament i innovació - Realització d'estudis de viabilitat tècnica - ANOMALY - FASE 0Agència per la Competitivitat de l'Empresa (ACCIÓ)
19/10/202018/10/2024CA19122 - European Network For Gender Balance in InformaticsEuropean Cooperation in Science and Technology
15/10/202015/10/2023Detecció d'avaries en sistemes multisensorialsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/09/202031/08/2021Interpretació del topic modelling en dades textualsUniversitat Politècnica de Catalunya
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/08/202013/08/2020DISCOURSIVE PROCESS MODELING EMPOWERED WITH ENVOLVING PROCESS MODEL SEARCH AND OPTIMIZATION
15/07/202014/02/2021Uso de algoritmos de aprendizaje por refuerzo en problemas de planificaciónITHINKUPC, S.L.
09/07/202015/01/2021PRimera fase del projecte KARINDesenvolupament del mòdul de distàncies semàntiques pel recomanador d'alimentsCUBE TECHNOLOGY INNOVATION,S.L.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2020Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in CitiesEUROPEAN INST OF INNOV.& TECHNOL.
01/07/202031/12/2022Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM)Fondos FEDER
30/06/202030/06/2020Model Judge
01/06/202031/05/2023Colaboración robot-humano para el transporte y entrega de mercancíasAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Aprendizaje Automático para la Modelización de la Dinámica Molecular de las Proteinas GPCRAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Análisis de texto médico para la assistencia a la predicción de diagnosisAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/01/2021Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territoriUniversitat Politècnica de Catalunya
03/03/202031/12/2022Hub d'Innovació PediàtricaFondos FEDER
01/03/202031/12/2022Centre de Recerca i Transferència en Salut Mental (CRETSAM)Fondos FEDER
01/03/202028/02/2021Systematization 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 outCentre de Cooperació per al Desenvolupament , UPC
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
27/12/201927/09/2021Integrated care for frail older adults in the communityINSTITUT DE CULTURA DE BARCELONA
01/11/201901/04/2020Sistemas recomendadores para el desarrollo de una solución de asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial. Proyecto HR2020 de FBLCITHINKUPC, S.L.
01/09/201928/02/2022Artificial Intelligence skills for ICT professionalsCommission of European Communities
01/09/201931/08/2022GAVIUS: from reactive to proactive public administrationsCommission of European Communities
04/04/201931/10/2020Multiparametric MR approaches for non-invasive Gliobastoma therapy response follow-upCommission of European Communities
01/04/201918/06/2022Future human-machine (AI) Interactlon fon in-car/mobility exoerienceAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/03/201928/02/2020Adquisición de datos para optimizar la oferta de servicios, de promoción de la vida sana, entre los habitantes de zonas desfavorables de GuayaquilCentre de Cooperació per al Desenvolupament , UPC
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201930/06/2019SEAT-SmarT11: Proyecto de optimización de recursos para ajustes de calidadCàtedra SEAT - UPC
01/01/201931/12/2021Razonamiento Formal para Tecnologías Facilitadoras y EmergentesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Evolving towards DIgital Twins in HealthcareAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021001-P-001643_Agrupació emergent Looming FactoryGENCAT - DEPT. D'EMPRESA I OCUPACIO
01/01/201901/08/2021Data Science for Gender Gap (DSGG)Pendent per manca de dades
01/01/201931/12/2022INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicineEuropean Commission
01/12/201830/06/2019Servicio de soporte a la convocatoriaHR18 d ela Fundación Bancaria La Caixa (asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial y cálculo de notas)ITHINKUPC, S.L.
15/10/201820/12/2020Agreement SiemensSIEMENS SA
21/09/201831/10/2018Patrocini 21er Congrés Internacional de l'Associació Catalana d'Intel·ligència ArtificialAIS APLICACIONES DE INTELIGENCIA AR
30/07/201829/07/2021Desarrollo de herramientas para el control efectivo de grandes plantas de energía fotovoltaicaAGENCIA ESTATAL DE INVESTIGACION
28/05/201810/06/2018Analysis of eficacy or ORY1000 based on ADAS-cogOryzon S.A.
18/05/201830/06/2019Análisis textual de los documentos de planificación hidrológica de las cuencas hidrográficas del espacio SUDOE en el marco del proyecto AGUAMOD SOE1/P5/F0026 financiado por el programa de cooperaciónUNIVERSIDAD DEL PAIS VASCO
30/04/201828/06/2019EU-LAC cooperation on Digital Single Market in EuropeSA IBF INTERNATIONAL CONSULTING
01/04/201821/12/2018Análisis de las políticas de adaptación al cambio climático en escenarios de sequía a raíz de la Frame Water Directive en las cuencas SUDOEUniversitat del País Basc
01/03/201830/06/2018Desarrollo de una solución de asignación de evaluadores a proyectos mediante inteligencia artificialITHINKUPC, S.L.
01/02/201831/01/2022European Robotics League plus Smart Cities Robot CompetitionsCommission of European Communities
01/01/201830/09/2021Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2019Barcelona Robotic Urban LabAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2020EnergiAnd, impulsant la transició energèticaDepartament d’Ensenyament Superior, Recerca i Ajuts a l’Estudi del Ministeri d’Educació i Ensenyament Superior. Govern d'Andorra
01/12/201730/11/2021The European Robotics Research Infrastructure NetworkCommission of European Communities
14/11/201731/12/2018FREELING LIBRARY 4.0LANGLITER INC
01/09/201731/08/2021Technology Transfer via Multinational Application ExperimentsCommission of European Communities
01/09/201731/12/2020My Travel CompanionCommission of European Communities
31/07/201731/07/2017Computer implemented method for dissimilarity computation between two yarns to be used for setting of a textile machine in a textile process, and computer program product
31/07/201731/07/2017GESCONDA
03/07/201719/03/2021Automatització de la construcció de sistemes intel·ligents de supervisió i control d'estacions depuradores d'aigües residuals (EDARs) mitjançant ús de fluxes de treball i entorns de programació visualAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
03/05/201703/05/2037Llicència Software FreeLing 4.0VERBIO TECHNOLOGIES S.L.
01/04/201730/06/2017Sistema de gestión inteligente de espacios de campus universitariosSIGMA GESTION U AIE
01/01/201731/12/2019Semantic graph extraction from textual health historiesFondos FEDER; MINECO. Secretaria de Estado de Investigación, Desarrollo e Innovación.
09/12/201031/12/2021ALEA-SOFTUniversitat Politècnica de Catalunya; Universitat Autònoma de Barcelona
23/03/201031/12/2021Fundació Salut i Envelliment UABUniversitat Politècnica de Catalunya; Universitat Autònoma de Barcelona

Teaching staff and research groups

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
15/05/202231/07/2022Contracte 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 RESIDUT.M.GESTIO SCCL
23/04/202231/12/2022Donació pel congrés ACAI-2022¿EurAI
19/01/202219/01/2022Diseño ROBOT SOCIAL
01/01/202231/12/2022Last mile logistics for autonomous goods deliveryEUROPEAN INST OF INNOV.& TECHNOL.
25/10/202130/06/2022PRESTACIÓ DEL SERVEI DE MENTORIA CIENTÍFICA DINS DE L’ADVISORY BOARD DEL REPTE TDA (TECNOLOGIES DIGITALS AVANÇADES) EN CIBERSEGURETATFUNDACIÓ i2CAT
27/09/202131/12/2023La IP és Membre del Comité de Monitorització de Seguretat de l'assaig clínic ADORE de Laboratoris FerrerFERRER INTERNACIONAL,S.A.
01/09/202131/08/2024CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientSFundació La Marató de TV3
01/09/202131/08/2024Implantación de la economía Circular en la Industria de Proceso (CEPI): Métodos y herramientas para la integración circular de sistemas.AGENCIA ESTATAL DE INVESTIGACION
31/08/202131/08/2021Software TP2TD: Text processing pipeline for topic-discovery
04/08/202131/12/2024Inteligencia Artificial distribuida para el diagnóstico y tratamiento temprano de enfermedades con gran prevalencia en el envejecimientoMIN DE ECONOMIA Y COMPETITIVIDAD
01/08/202131/01/2023Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
01/06/202131/12/2022CoviD-19 and brain: cognItion And meNtal heAlthAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
01/06/202131/12/2022Realització 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 deCCB SERVEIS MEDI AMBIENTALS, SA
01/04/202131/12/2021dynamiC spEed Limits compliancE for optimiSed Traffic managEmentEUROPEAN INST OF INNOV.& TECHNOL.
01/02/202131/01/2024Desenvolupament d'un curs digital sobre IA per a la ciutadania en general de difusió massiva en la societat catalanaFUNDACIÓ i2CAT
15/01/202130/09/2021El 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 porT.M.GESTIO SCCL
01/01/202131/12/2024A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture SystemsCommission of European Communities
01/01/202131/12/2023Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]Commission of European Communities
01/01/202131/12/2023Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AICommission of European Communities
01/01/202131/12/2022T3.3 Task Force Digitalización vertical (UPC)ATOS SPAIN S.A.
01/01/202131/12/2021ANOMALY FASE 0Agència per la Competitivitat de l'Empresa (ACCIÓ)
01/01/202101/04/2022Llibre blanc sobre la Intel·ligència Artificial aplicada a les indústries culturals i basades en l’experiènciaCentre of Innovation for Data tech and Artificial Intelligence
01/12/202031/12/2021Promoción 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 inmaterialConsejo Superior de Investigaciones Científicas; Fondos FEDER
19/11/202031/12/2021Promoción 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 inmaterFUNDACIÓN GENERAL CSIC
28/10/202031/12/2021L2-Projectes de desenvolupament i innovació - Realització d'estudis de viabilitat tècnica - ANOMALY - FASE 0Agència per la Competitivitat de l'Empresa (ACCIÓ)
19/10/202018/10/2024CA19122 - European Network For Gender Balance in InformaticsEuropean Cooperation in Science and Technology
15/10/202015/10/2023Detecció d'avaries en sistemes multisensorialsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/09/202031/08/2021Interpretació del topic modelling en dades textualsUniversitat Politècnica de Catalunya
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/08/202013/08/2020DISCOURSIVE PROCESS MODELING EMPOWERED WITH ENVOLVING PROCESS MODEL SEARCH AND OPTIMIZATION
15/07/202014/02/2021Uso de algoritmos de aprendizaje por refuerzo en problemas de planificaciónITHINKUPC, S.L.
09/07/202015/01/2021PRimera fase del projecte KARINDesenvolupament del mòdul de distàncies semàntiques pel recomanador d'alimentsCUBE TECHNOLOGY INNOVATION,S.L.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2020Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in CitiesEUROPEAN INST OF INNOV.& TECHNOL.
01/07/202031/12/2022Red de Innovación de Nuevas Tecnologías en Salud Mental (TECSAM)Fondos FEDER
30/06/202030/06/2020Model Judge
01/06/202031/05/2023Colaboración robot-humano para el transporte y entrega de mercancíasAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Aprendizaje Automático para la Modelización de la Dinámica Molecular de las Proteinas GPCRAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Análisis de texto médico para la assistencia a la predicción de diagnosisAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/01/2021Identificació de Necessitats Socials Emergents com a conseqüència de la COVID19 i efecte sobre els Serveis Socials del territoriUniversitat Politècnica de Catalunya
03/03/202031/12/2022Hub d'Innovació PediàtricaFondos FEDER
01/03/202031/12/2022Centre de Recerca i Transferència en Salut Mental (CRETSAM)Fondos FEDER
01/03/202028/02/2021Systematization 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 outCentre de Cooperació per al Desenvolupament , UPC
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
27/12/201927/09/2021Integrated care for frail older adults in the communityINSTITUT DE CULTURA DE BARCELONA
01/11/201901/04/2020Sistemas recomendadores para el desarrollo de una solución de asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial. Proyecto HR2020 de FBLCITHINKUPC, S.L.
01/09/201928/02/2022Artificial Intelligence skills for ICT professionalsCommission of European Communities
01/09/201931/08/2022GAVIUS: from reactive to proactive public administrationsCommission of European Communities
04/04/201931/10/2020Multiparametric MR approaches for non-invasive Gliobastoma therapy response follow-upCommission of European Communities
01/04/201918/06/2022Future human-machine (AI) Interactlon fon in-car/mobility exoerienceAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/03/201928/02/2020Adquisición de datos para optimizar la oferta de servicios, de promoción de la vida sana, entre los habitantes de zonas desfavorables de GuayaquilCentre de Cooperació per al Desenvolupament , UPC
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201930/06/2019SEAT-SmarT11: Proyecto de optimización de recursos para ajustes de calidadCàtedra SEAT - UPC
01/01/201931/12/2021Razonamiento Formal para Tecnologías Facilitadoras y EmergentesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Evolving towards DIgital Twins in HealthcareAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021001-P-001643_Agrupació emergent Looming FactoryGENCAT - DEPT. D'EMPRESA I OCUPACIO
01/01/201901/08/2021Data Science for Gender Gap (DSGG)Pendent per manca de dades
01/01/201931/12/2022INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicineEuropean Commission
01/12/201830/06/2019Servicio de soporte a la convocatoriaHR18 d ela Fundación Bancaria La Caixa (asignación de evaluadores a proyectos mediante técnicas de Inteligencia Artificial y cálculo de notas)ITHINKUPC, S.L.
15/10/201820/12/2020Agreement SiemensSIEMENS SA
21/09/201831/10/2018Patrocini 21er Congrés Internacional de l'Associació Catalana d'Intel·ligència ArtificialAIS APLICACIONES DE INTELIGENCIA AR
30/07/201829/07/2021Desarrollo de herramientas para el control efectivo de grandes plantas de energía fotovoltaicaAGENCIA ESTATAL DE INVESTIGACION
28/05/201810/06/2018Analysis of eficacy or ORY1000 based on ADAS-cogOryzon S.A.
18/05/201830/06/2019Análisis textual de los documentos de planificación hidrológica de las cuencas hidrográficas del espacio SUDOE en el marco del proyecto AGUAMOD SOE1/P5/F0026 financiado por el programa de cooperaciónUNIVERSIDAD DEL PAIS VASCO
30/04/201828/06/2019EU-LAC cooperation on Digital Single Market in EuropeSA IBF INTERNATIONAL CONSULTING
01/04/201821/12/2018Análisis de las políticas de adaptación al cambio climático en escenarios de sequía a raíz de la Frame Water Directive en las cuencas SUDOEUniversitat del País Basc
01/03/201830/06/2018Desarrollo de una solución de asignación de evaluadores a proyectos mediante inteligencia artificialITHINKUPC, S.L.
01/02/201831/01/2022European Robotics League plus Smart Cities Robot CompetitionsCommission of European Communities
01/01/201830/09/2021Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2019Barcelona Robotic Urban LabAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2020EnergiAnd, impulsant la transició energèticaDepartament d’Ensenyament Superior, Recerca i Ajuts a l’Estudi del Ministeri d’Educació i Ensenyament Superior. Govern d'Andorra
01/12/201730/11/2021The European Robotics Research Infrastructure NetworkCommission of European Communities
14/11/201731/12/2018FREELING LIBRARY 4.0LANGLITER INC
01/09/201731/08/2021Technology Transfer via Multinational Application ExperimentsCommission of European Communities
01/09/201731/12/2020My Travel CompanionCommission of European Communities
31/07/201731/07/2017Computer implemented method for dissimilarity computation between two yarns to be used for setting of a textile machine in a textile process, and computer program product
31/07/201731/07/2017GESCONDA
03/07/201719/03/2021Automatització de la construcció de sistemes intel·ligents de supervisió i control d'estacions depuradores d'aigües residuals (EDARs) mitjançant ús de fluxes de treball i entorns de programació visualAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
03/05/201703/05/2037Llicència Software FreeLing 4.0VERBIO TECHNOLOGIES S.L.
01/04/201730/06/2017Sistema de gestión inteligente de espacios de campus universitariosSIGMA GESTION U AIE
01/01/201731/12/2019Semantic graph extraction from textual health historiesFondos FEDER; MINECO. Secretaria de Estado de Investigación, Desarrollo e Innovación.
09/12/201031/12/2021ALEA-SOFTUniversitat Politècnica de Catalunya; Universitat Autònoma de Barcelona
23/03/201031/12/2021Fundació Salut i Envelliment UABUniversitat 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

Monitoring

Accreditation

    Registry of Universities, Centers and Degrees (RUCT)

    Indicators

    Up