Keynote speakers

Rosangela Ballini

Rosangela Ballini is an associate professor with the Department of Economic Theory, Institute of Economics, University of Campinas, since 2002. She is also a researcher at the Brazilian Institute of Data Science. She received the B.Sc. degree in applied mathematics from the Federal University of São Carlos, São Carlos, Brazil, the M.Sc. degree in mathematics and computation science from the University of Sao Paulo, São Carlos, and the Ph.D. degree in electrical engineering from the School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil. Her research interests include machine learning, modeling and time series forecasting, decision making, and applications.

Fernando Buarque

Fernando Buarque de Lima Neto received his PhD in Artificial Intelligence from the University of London-Imperial College (2002). He is the head of the Computational Intelligence Research Group and Senior Associate Professor at the University of Pernambuco-Brazil, where he has supervised over 100 students in the PhD, MSc and BSc final dissertations. He has authored over 220 scientific publications, 6 books, and holds visiting positions at Texas A&M University, University of Johannesburg, University of Münster-WWU (And Research Ambassador), and University of Exeter. He is Alexander von Humboldt Fellow (Germany), IEEE Senior Member (USA), and Life member of the Academy of Science (PE-Brazil). He visited the European Research Center for Information Systems (ERCIS in Münster-Germany) during his sabbatical leave in 2014, and the University of Florida-USA in 2019. His current research topics are Explainable and Responsible AI. Presently, he is tackling actual complex decision problems by developing innovative modelling approaches & adaptable algorithms, via rational evolutionary and social processes. His expectations are that Artificial Intelligence can effectively help to establish flourishing societies.

Sanaz Mostaghim

Sanaz Mostaghim is a full professor of computer science at the chair of Computational Intelligence and the founder and head of SwarmLab at the Faculty of Computer Science, Otto von Guericke University Magdeburg, Germany. She holds a PhD degree (2004) in electrical engineering from the University of Paderborn, Germany. Sanaz has worked as a postdoctoral fellow at ETH Zurich in Switzerland and as a lecturer at Karlsruhe Institute of Technology (KIT), Germany, where she received her habilitation degree in applied computer science. Her research interests are in the area of multi-criteria optimization and decision-making, collective learning and decision-making, and their applications in robotics and science. Sanaz is the vice president of the IEEE Computational Intelligence Society (CIS) and is associate editor of IEEE Transactions on AI, IEEE Transaction on Evolutionary Computation and member of the editorial board of several international journals on Robotics and AI. Since 2020, she is appointed as a distinguished lecturer at IEEE CIS.

Gabriela Ochoa

Gabriela Ochoa is a Professor of Computing Science at the University of Stirling in Scotland. Her research lies in the foundations and applications of evolutionary algorithms and metaheuristics, with emphasis on autonomous search, fitness landscape analysis and visualisation and combinatorial optimisation. She holds a PhD from the University of Sussex, UK, and has held academic and research positions at the University Simon Bolivar, Venezuela, and the University of Nottingham, UK. Her recent work on network-based models of fitness landscapes has enhanced their descriptive and visualisation capabilities, producing a number of publications including several best-paper awards and nominations at leading venues. She collaborates cross-disciplines in the use of evolutionary algorithms to healthcare and conservation. She has been active in organisation and editorial roles within leading Evolutionary Computation conferences such as the Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), and Journals such as IEEE Transactions on Evolutionary Computation, Evolutionary Computation, and ACM Transactions on Evolutionary Learning and Optimisation (TELO). She is a member of the ACM SIGEVO executive board and was recognised in 2020 In EvoSTAR for her outstanding contributions to the field.

Leslie Pérez

Leslie Pérez Cáceres is an associated professor at Pontificia Universidad Católica de Valparaíso, Chile since 2018. She is also the Director of the Artificial Intelligence Diploma of the PUCV’s Escuela de Ingeniería Informática. She received the M.S. degree in Engineering Sciences in 2011 from the Universidad Técnica Federico Santa María and, the Ph.D. in Engineering and Technology Sciences from the Université Libre de Bruxelles in 2017. Her main line ofresearch is the automatic configuration of optimization algorithms and she is one of the developers of the irace configuration tool.

Gerardo Rubino

Gerardo Rubino is a senior researcher at INRIA (the French National Institute for Research in Computer Science and Control). He created and managed two research teams at INRIA over covering a period of 30 years, ARMOR and DIONYSOS, working on the analysis and design of complex systems, usually in telecommunications. He has been Board Member of the Media & Networks Cluster, Brittany, France, for about 15 years. Among past responsibilities, he has been Scientific Delegate for the Rennes unit of INRIA for 5 years, responsible of research in networking at the Telecom Bretagne engineering school for 5 years, Associate Editor of the Operations Research international journal “Naval Research Logistics” for 9 years, former member of the Steering Board of the European Network of Excellence EuroFGI and responsible of the relationships between the network and European industry, INRIA’s representative at the SISCom Brittany Research Cluster. He has also been the head of the International Partnership Office at INRIA Rennes for 5 years. He is a member of the IFIP WG 7.3. He is interested in the quantitative analysis of complex systems using probabilistic models. He presently works on performance and dependability analysis, perceptual quality assessment of audio and video applications and services and on Machine Learning tools with applications mainly in networking. In particular, he is the author of the PSQA (Pseudo-Subjective Quality Assessment) technology for automatic perceptual quality real-time evaluation. He also works on the development of methodologies for the analysis of rare events, for instance for the evaluation of risks.

Organizers

IEEE Computer Intelligence Society
IEEE Computer Intelligence Society

https://cis.ieee.org/

IEEE
IEEE

https://www.ieee.org/

Instituto de Computación
Instituto de Computación

https://www.fing.edu.uy/inco

Facultad de Ingeniería
Facultad de Ingeniería

https://www.fing.edu.uy/

Universidad de la República
Universidad de la República

https://www.universidad.edu.uy