Vladimir Estivill-Castro is a Full Professor at the Department of Information and Communication Technologies, UPF, and at Griffith University, Brisbane, Australia. Vladimir  received a Mathematics degree (1985) and a Master degree on  Mathematics (1987) from UNAM, Mexico City. He then obtained a PhD in Computer Science in 1991 at the University of Waterloo in Canada. He was an Assistant Professor at York University in Canada, a Lecturer at the Queensland University of Technology from 1996 to 1998, a Senior Lecturer and then Associate Professor at the University of Newcastle, 1998-2001, and Full Professor at Griffith University.

Vladimir is co-editor in chief of the CRPIT series (Conferences in Research and Practice in Information technology), and member of the editorial board of Journal of Research and Practice in Information Technology (JRPIT). He is also member of the international review board of the International Journal of Data Warehousing and Mining. He has also been chairperson of several technical and academic conferences in Algorithms, Data Mining, Knowledge Discovery and Privacy. Prof. Estivill-Castro has authored over 100 technical conference and journal articles and several book chapters and encyclopedia chapters and one monograph. He received an Australian Teaching and Learning Citation for PhD Supervision in Computer Science in 2010 and the best Paper Award at the Australasian Computer Science Conference in 2012. He has received competitive funding in Australia, Canada, Mexico, and Spain.

Vladimir's research is algorithmic engineering. He studies the design and analysis of algorithms that solve complex mathematical problems. He has made contribution to the field of data analysis with advances in clustering algorithms and spatial data mining. He has also worked extensively in privacy-preserving computation. Vladimir's  ability to deploy algorithms has resulted in applications in pattern analysis, computer vision and robotics. He has been team leader of the MiPal team who has competed successfully 2002-2006 and 2011-2012 at RoboCup.



Hector Geffner is an ICREA Research Professor at the Department of Information and Communication Technologies, UPF. He obtained a BSc on  Electrical Engineering at the Universidad Simon Bolivar in Caracas, and a MSc in Systems Science and a PhD in Computer Science  at the University of California, Los Angeles (UCLA). After his PhD, he worked at the IBM T.J. Watson Research Center in NY, USA from 1989 until 1992, and at the Universidad Simon Bolivar, in Caracas, from 1992 until 2001. He also taught at Stanford University, Aachen University of Technology, Linkoping University, Universite Paul Sabatier, and the University of Edinburgh, among other places. Since 2001 he has been at the UPF in Barcelona, as an ICREA Research Professor where he heads the Artificial Intelligence (AI) group.

Hector works on planning and plan recognition in intelligent systems, developing methods for generating and recognizing autonomous behavior automatically using model-based methods. In these methods, agents are not programmed by hand, but rather derive their behavior by solving a model of the interaction between the agent, the environment, and possibly other agents. One of the main challenges in planning is computational as these models are all intractable in the worst case, and algorithms must be able to automatically recognize and exploit the structure of problems. The work involves logical and probabilistic models, domain-independent heuristics and algorithms, and computational experiments.

Hector's research is relevant to both artificial intelligence and cognitive science, as it aims to uncover general principles of rational behavior that take into account the computational constraints that are present in both natural and artificial systems. While his main interests are in AI and Cognitive Science, he is also quite interested in the Human and Social Sciences. He is currently involved in several funded research projects, basic and applied, including a Consolider Project about Simulating the Past that involves a number of archeologists; an European Project, Spacebook, for developing speech-driven, hands-free, eyes-free devices for pedestrian navigation and exploration, and a National I+D Project, about robust and scalable model-based methods for the generation of autonomous behavior.

Hector Geffner is the recipient of the 1990 ACM Dissertation Award, and is best known for the heuristic search approach to planning for which he received the 2009 and 2010 ICAPS Influential Paper Awards. He is a fellow of both the American and  the European Association for Artificial Intelligence (AAAI, ECCAI), and Associate Editor of the two top AI journals: Artificial Intelligence (AIJ), and the Journal of Artificial Intelligence Research (JAIR). He is  professionally involved in many of the top AI conferences, having served in recent years as Area Chair for  IJCAI, AAAI, ECAI, UAI, and KR, and as co-chair of ICAPS. Hector is the author of the book Default Reasoning, MIT Press, 1992, and co-editor with Rina Dechter and Joseph Halpern of the book 'Heuristics, Probability and Causality: A Tribute to Judea Pearl', College Publications, 2010. He is currently the Director of the UPF Master in Intelligent Interactive Systems.

Anders Jonsson is a Lecturer in Department of Information and Communication Technologies, UPF. He is a native of Stockholm, Sweden. He received his MSc in Engineering Physics from the Royal Institute of Technology in Stockholm, and his Ph.D. in computer science from the University of Massachusetts Amherst. He joined UPF in 2005 as a visiting lecturer and member of the Artificial Intelligence group.

Anders' main research interest is devising automatic techniques for solving sequential decision problems in the form of either reinforcement learning or artificial intelligence planning. In particular, his focus is finding and exploiting the structure of such problems in order to simplify their solution. This structure can take many forms, but usually manifests itself either as abstract
states, in which the same solution holds for several different situations, or abstract actions, in which actions can be grouped together in a hierarchy. He is also interested in analyzing the  computational complexity of solving different classes of sequential decision problems.

Anders also enjoys developing artificial intelligence solutions for real-world applications. During the past few years he has been involved in several research projects, both at the national and international level. He has also published several papers in prestigious international journals and serves on the programming committee of a number of international conferences.

Apart from research in artificial intelligence, Anders really enjoys programming, and for the last five years he has served as coach of the UPF programming team at the Southwestern Europe Regional Contest, part of the ACM International Collegiate Programming Contest.



Leo Wanner is an ICREA Research Professor at the Department of Information and Communication Technologies, UPF. Leo earned his Diploma degree in Computer Science from the University of Karlsruhe, Germany and his PhD in Linguistics from the University of The Saarland, Saarbrücken, Germany. Prior to joining DTIC as ICREA Research Professor, he held positions at the Institute for Integrated Publication and Information Systems of the German National Centre for Computer Science in Darmstadt, University of Waterloo, the University of Stuttgart and the Institute for Applied Linguistics (IULA), UPF. As a visiting researcher, he was also affiliated with the University of Montreal, University of Sydney, University of Southern California's Institute for Information Sciences, and the Columbia University, New York.

Leo works in the field of computational linguistics, teaching the computer how to supply people with information that might be useful to them in their language and how to serve as interpreter between people who do not speak a common language. His research foci include automatic multilingual report generation, automatic summarization of written material and paraphrasing. He is furthermore interested in computational lexicology and lexicography, and there, in particular, in the recognition, representation and use of lexical idiosyncrasies by language learners.

Throughout his career, Leo has been involved in various large scale national, European, and transatlantic research projects. He has published five books and over 100 refereed journal and conference articles. He also serves as regular reviewer for a number of high profile conferences and journals.




Ricardo Baeza-Yates is a part-time professor at Universitat Pompeu Fabra. Currently he is also the CTO of NTENT, a semantic search technology company based in New York and California, since June 2016. Before he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from January 2006 to February 2016. Between 2008 and 2012 he also supervised Yahoo Labs Haifa and between 2012 and 2014 Yahoo Labs London. Until 2005 he was the director of the Centre for Web Research at the Department of Computer Science of the Engineering School of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Department of Information and Communication Technologies  of Universitat Pompeu Fabra in Barcelona, Spain. He maintains ties with both mentioned universities as a part-time professor.

His research interests include algorithms and data structuresinformation retrievalweb search and data miningdata science, and data visualization

He is an ACM Fellow and an IEEE Fellow.



Jorge Lobo is an ICREA Research Professor at the Department of Information and Communication Technologies of theUniversitatPompeuFabra. 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, College Park, and a M.Sc. and a B.E. from Simon Bolivar University, Venezuela. Before joining ICREA, he was Research Staff Member at IBM T. J. Watson Research Center. Prior to IBM, he was principal architect at TeltierTechnologies, a startup company in the wireless telecom space, Technical Staff at Bell Labs and tenured associate professor at the University of Illinois at Chicago.

For many yearsJorge has been using tools and techniques from Artificial Intelligence for tackling management issues of distributed systems and networks working towards the aim of building autonomic management systemsand networking now becoming an intrinsic part of computation is bringing with it a host of new theoretical and practical challenges.  One major challenge is handling the mobility of network clients which are connecting using many different types of channels and networks. Another challenge is handling services that are hosted in virtual environments and can themselves outlive the computers where they are hosted: virtual computers where these services temporally reside go up and down and migrate around different computers over a network. Common to these, and many other examples, is a heightened complexity of managing these systems.

Jorge has many contributions in the formalization and implementation of policy-based management systems. Policies can be found in areas such as data center configuration, traffic and workload management, service provisioning, storage, and access control. In social systems, organizations have policies and regulations covering proper conduct to protect the safety and privacy of people and for effective and appropriate use of resources. IT systems that support these social organizations need to comply with these policies. Over the years, Jorgehas collaborated with researchers working in security, networking, distributed computing and human-computer interaction, to tackle many policy issues including authoring, verification, automatic policy generation and conflict resolution, and has developed implementations to help manage many kinds of real-world distributed systems, including computer, cellular and mobile ad-hoc networks. His recent publications address problems in areas such as declarative distributed computing, software defined networks and access control in federated databases.

He has published two books and over 100 refereed articles in scientific journals and proceedings across the AI, Networking and Security fields, with papers in conferences such as AAAI, INFOCOM and CSF.  Jorge is an ACM Distinguished Scientist.



Vicenç Gómez a post-doctoral fellow at the Artificial Intelligence group at Universitat Pompeu Fabra (UPF) since 2013. He received his degree in Computer Science from Universitat Politècnica de Catalunya (UPC) in 2002. After obtaining his Ph.D. in Computer Science and Digital Communication at UPF, he joined the machine learning group at the Radboud University, Nijmegen (The Netherlands) with Prof. Dr. Hilbert. J. Kappen in 2008, where he has performed research within several international projects for more than five years.

His research focuses primarily on the development of novel machine learning methods for the analysis and/or control of complex systems. He follows a multi-disciplinary approach at the interface between computer science, control theory and statistical physics. He has applied his research in domains such as social networks, robotics, brain computer interfaces and the smart grid.



Pablo Aragón is a research scientist at the Big Data & Data Science unit at Eurecat (Technology Centre of Catalonia). His research focuses on understanding social and political phenomena through the analysis of data from the Internet. He is particularly interested in characterizing online participation in civic technologies, the online network structures of grassroots movements and political parties, and the technopolitical dimension of networked democracy. These interests have led him to participate in EU funded research projects like DECODE, focusing on free open-source infrastructures to increase data sovereignty of European citizens, or D-CENT, aimed at transforming everyday democratic decision making through free open-source digital technologies. The results of his research have been published in top-tier journals and conferences in computational social science, where he also serves as reviewer and member of the program committee. He has also given numerous talks and tutorials to academic and industrial audiences at international conferences, universities and research institutions.

Pablo was a doctoral researcher of the Artificial Intelligence and Machine Learning research group at Universitat Pompeu Fabra, where he works as an adjunct professor for the Web Intelligence course, and also for the Networks course at ELISAVA School of Design and Engineering. He was also a visiting scholar at the Oxford Internet Institute and actively collaborates with public institutions for projects on data, technology and democracy.


Diego Sáez is a Senior Research Scientist at Wikimedia Foundation. Before, File:Diego Sáez-Trumper.jpghe 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.