Professors
Anders Jonsson is a full professor in the Department of Engineering, where he heads the Artificial Intelligence and Machine Learning research group. He received his Ph.D. in computer science in 2005 from the University of Massachusetts Amherst. His research interests involve sequential decision problems in which one or several agents have to make repeated decisions about what to do, mainly in the form of automated planning and reinforcement learning. Specifically, he is currently working on sequential decision problems involving multiple agents, hierarchical representations of problems, combining the strengths of reinforcement learning and planning, finding and exploiting structure in sequential decision problems, and analyzing the computational complexity of different classes of problems.
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Vicenç Gómez is associate professor and the coordinator of the Msc. of Intelligent Autonomous Systems. He received his Ph.D at Universitat Pompeu Fabra (UPF) in 2008. He then worked as a research scientist in the Machine Learning research group at the Donders Institute of Brain and Cognition, at the Radboud University Nijmegen, the Netherlands for more than six years. In 2014, he rejoined the Artificial Intelligence and Machine Learning group at UPF with a transnational academic career grant (FP7 Marie Curie Actions). and later became a Ramon y Cajal fellow. His main research interests are probabilistic inference and reinforcement learning. He is actively working on developing novel machine learning methods derived from first principles and understanding their theoretical properties, as well as their application for modeling, understanding and improving the functioning of social, information and networked systems. |
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She obtained a Ph.D. at University of Valladolid, Spain, and has been visiting researcher at Open University of the Netherlands, Fulbright Scholar at Virginia Tech and visiting academic at the University of Sydney. She has published extensively and received several awards, including best and most cited scientific paper awards and recognitions for technology contributions. Prof. Hernández-Leo has been Vice-President of the European Association for Technology-Enhanced Learning, a Associate Editor of the IEEE Transactions of Learning Technologies, and is currently an elected member of the CSCL Committee within the International Society of the Learning Sciences, member of the Steering Committee of the European Conference on Technology-Enhanced Learning, and an editorial board member of the international journal of CSCL. She is very active in participation and lead of European and national projects, and in collaborations with companies, non-profit organizations, policy makers and private foundations. Her research activity is broadly centered on the domain of learning technologies, spanning fields such as learning design technology, computer-supported collaborative learning (CSCL), community platforms, learning analytics, and artificial intelligence in education. |
Davinia Hernandez-Leo is Full Professor, Serra Hunter and ICREA Academia Fellow (2019-2024) at the Department of Information and Communications Technologies Department (DTIC) at Universitat Pompeu Fabra, Barcelona (Spain), where she is the director of the Interactive and Distributed Technologies for Education research group (TIDE).|
Jorge Lobo is an ICREA Research Professor at the Department of Engineering of the Universitat Pompeu Fabra. He is also Visiting Professor at the Department of Computing of Imperial College London. He received his Ph.D. in Computer Science from the University of Maryland at College Park (1990), and a M.S. and a B.E. from Simon Bolivar University in Venezuela. Prior to his position at IBM Research, he was principal architect at Teltier Technologies, a startup company in the wireless telecommunication space acquired by Dynamicsoft, now part of Cisco Systems. Before joining Teltier, he was Technical Staff Member in the Network Computing Department at Bell Labs and a faculty member in the Department of Computer science at the University of Illinois in Chicago. His research interest crosses several areas in computers science: AI, Network and Distributed Systems Management, Security and Privacy. For more than a decade he has been working in understanding the role of policy, norms and regulations in computer systems and networks. Policies are pervasive parts of both technical and social systems. Computer systems and networks have policies that govern system configuration, workload management, service provisioning, storage, and access control for the integrity and confidentiality of data and resources. Dr. Lobo has studied languages and system models using mathematical logic to describe, analyze and enforce policies. At Bell Labs he did pioneering work in policy-based network management. He developed the language PDL, designed to implement application-independent policy servers, whose semantics is based on formal descriptions of action theories and automata. A PDL management system was part of the first Lucent softswitch telecommunication network. The main intellectual property of Teltier was a policy server he designed for privacy and availability management of Presence Servers, a technology that is now part of Cisco Systems. In IBM, he has worked in policy language independent analysis techniques, which have been implemented to analyze PMAC policies, IBM's Policy Management Infrastructure for Autonomic Computing, and XACML policies, a well-know XML-based standard for the specification of access control policies. A PMAC dialect is used in IBM configuration management products for Storage Area Networks and the analysis tool in the Tivoli event correlation system IMPACT. His work on role mining algorithms has been implemented and is part of IBM Identity Management Products. Jorge is an ACM Distinguished Scientist. He has published two books, over 100 refereed articles in scientific journal and conference proceedings, and holds 7 patents in policy technologies. |
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Carlos Castillo (they/them) is an ICREA Research Professor at Universitat Pompeu Fabra in Barcelona, where they lead the Web Science and Social Computing research group. They are a web miner with a background in information retrieval and have been influential in the areas of crisis informatics, web content quality and credibility, and adversarial web search. They are a prolific, highly cited researcher who have co-authored over 110 publications in top-tier international conferences and journals, receiving two test-of-time awards, five best paper awards, and two best student paper awards. Their works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search. Carlos received their Ph.D from the University of Chile (2004), and was a visiting scientist at Universitat Pompeu Fabra (2005) and Sapienza Universitá di Roma (2006) before working as a scientist and senior scientist at Yahoo! Research (2006-2012), as a senior scientist and principal scientist at Qatar Computing Research Institute (2012-2015), and as director of research for data science at Eurecat (2016-2017). They have served in the Program Committee (PC) or Senior PC (SPC) of all major conferences in their area (WWW, WSDM, SIGIR, KDD, CIKM, etc.), and participate in the editorial committee of ACM Transactions on the Web. They are an ACM Distinguished Member and an IEEE Senior Member. Mastodon: @[email protected] / Twitter: @ChaToX / Website: www.chato.cl |
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Vladimir Estivill-Castro has been the director of the Department of Engineering at Pompeu Fabra University (UPF) and a professor at the same institution. He has worked professionally as a consultant, programmer, project leader, and teacher in Mexico, the United States, Australia, Spain, and Canada. He originally had a degree in mathematics but has a master's degree in education and another in mathematical sciences, as well as a doctorate in computer science. He is an artificial intelligence, data science, robotics, and software engineering expert. His research interests cover privacy, data mining, software engineering, and formal methods. He also currently serves as a member of the editorial board of "Privacy and Security" (Wiley) and is a "Senior Member" of the ACM and the IEEE Computer Society. He was president of the Computer Society Chapter for IEEE in Queensland, Australia. |
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Her main research has focused on the use of prosody for speaker and speech recognition, speech synthesis, and the use of speech technologies in medicine. Currently, she is also involved in projects related to explicability, fairness and transparency in natural language processing. |
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M. Inés Torres is Professor of Computer Science at the University of the Basque Country and Principal Investigator of the Speech Interactive Research Group. She has been a visiting researcher at the Polytechnic University of Valencia (Spain) and at the Centre National des études des telécommunications, Lannion (France). She has been a visiting professor at the Language Technologies Institute at Carnegie Mellon University (USA) and a visiting professor at the University of California on a Fulbright grant. She has multidisciplinary academic and industrial experience in Machine Learning and Artificial Intelligence, Affective Computing, Speech Processing, Natural Language Processing and Generation, Dialogue Management, Human-Machine Interaction, as well as data acquisition and annotation. She has led numerous research projects and contracts with companies and has published in prestigious journals and conferences. She currently coordinates the HORIZON MSCA-SE CRYSTAL action, Conversational Systems for Emotional Support and Customer Assistance. |
Mireia Farrús is an Associate Professor at the Language of Computation Centre at the Universitat de Barcelona (UB) and director of the Language Technology Service (STeL). She graduated in Physics and in Linguistics at the UB and she received her PhD in Signal Theory and Communications from the Universitat Politècnica de Catalunya (Barcelona), in 2008. She held a research position at DFKI (Germany), and she has been a visiting researcher at the University of Umeå (Sweden), the University of Canberra (Australia), and the University of Edinburgh (UK). She has participated in several European projects and industrial projects related to the field of computational linguistics and speech technologies.
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Andreas Kaltenbrunner is the director of the AI and Data for Society (AID4So) research group at the Internet Interdisciplinary Institute (IN3) at the Universitat Oberta de Catalunya (UOC). He uses methods from data science, artificial intelligence, and complex systems to address computer science and computational sociology research questions. He has co-authored over 80 publications in these areas and has a doctorate in Computer Science and Digital Communication obtained in 2008 from the UPF of Barcelona. Subsequently, he worked at the Barcelona Media Technology Center where he co-founded the Social Media research line and directed it from May 2013 onwards. Between June 2015 and August 2017, he was the scientific director of the Digital Humanities Research Unit at Eurecat. In September 2017 he joined the technology startup NTENT as director of data analysis. Later he moved to the ISI Foundation (Turin, Italy) as a senior researcher on Data for Good in October 2020 and to the UOC in 2023. |
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Pablo Aragón is a research scientist at the Wikimedia Foundation, where he focuses on knowledge integrity and resilience to disinformation in Wikipedia and its sister projects. He is interested in computational social science and social computing through interdisciplinary and participatory approaches to enhance collaboration and deliberation in online platforms, including civic technologies and social media. His research has been published in top-tier conferences and journals, and featured in international media like MIT Technology Review, The Atlantic, BBC News, The Guardian, VICE Magazine and Business Insider. He is also an adjunct professor at the Department of Information and Communication Technologies at Universitat Pompeu Fabra. Pablo actively contributes to technopolitical projects and served as a foundational board member of Decidim, the free open source platform for participatory democracy. Pablo was a doctoral researcher of the Artificial Intelligence and Machine Learning research group at Universitat Pompeu Fabra and held a visiting appointment at the Oxford Internet Institute - University of Oxford. He worked as a research scientist at Eurecat and as a research engineer at Barcelona Media. These positions led him to contribute to multiple EU-funded research projects like DECODE, implementing a technopolitical framework around data commons and data sovereignty, or D-CENT, developing distributed and privacy-aware free open source tools for direct democracy. Pablo coordinated the Data Analysis for Citizen Participation project at Medialab Prado, and co-founded the Democratic Innovation Lab of Barcelona City Council and the DatAnalysis15M research network. Prior to his research career, he worked as a data engineer at a social media monitoring startup. |
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Diego Sáez is a Senior Research Scientist at Wikimedia Foundation. Before, he was a post-doctoral researcher at |
Yahoo! Labs and Research Scientist at Eurecat, Data Scientist at NTENT, and part time lecturer at UPF. He has a diploma in Acoustic Engineering (Universidad Austral de Chile, 2006) and obtained a Phd in Information Technology from Universitat Pompeu Fabra (2013) under the supervision of Ricardo Baeza-Yates. He has interned at Qatar Computing Research Institute (with Carlos Castillo, 2013), University of Cambridge (with Jon Crowcroft and Daniele Quercia, in 2012) and Universidade Federal de Minas Gerais (with Virgilio Almeida, 2011). His research interests include: Online Disinformation, Diffusion of information, innovation, and influence in online social networks; User modeling; Free knowledge; Relationship between social and mainstream media; Algorithms on graphs; and privacy issues.