Prof. Raúl Rojas (Freie Universität Berlin, Germany)

Prof. Raúl Rojas González (born 1955, in Mexico City) is a professor of Computer Science and Mathematics at the Free University of Berlin and a renowned specialist in artificial neural networks. The FU-Fighters, football-playing robots he helped build, were world champions in 2004 and 2005. He is now leading an autonomous car project called Spirit of Berlin. He and his team were awarded the Wolfgang von Kempelen Prize for his work on Konrad Zuse and the history of computers. Although most of his current research and teaching revolves around artificial intelligence and its applications, he holds academic degrees in mathematics and economics.

Prof. Carlos Coello Coello (CINVESTAV-IPN, Mexico) 

Prof. Carlos Artemio Coello Coello received a BSc in Civil Engineering from the Universidad Autonoma de Chiapas in Mexico in 1991 (graduating Summa Cum Laude). Then, he was awarded a scholarship from the Mexican government to pursue graduate studies in Computer Science at Tulane University (in the USA). He received a MSc and a PhD in Computer Science in 1993 and 1996, respectively. His PhD thesis was one of the first in the field now called "evolutionary multiobjective optimization". He currently has over 320 publications which report over 6,000 citations (his h-index is 40). Dr. Coello has been a Senior Research Fellow in the Plymouth Engineering Design Centre (in England) and a Visiting Professor at DePauw University (in the USA). He is currently full professor with distinction (Investigador Cinvestav 3F) and Chair of the Computer Science Department at CINVESTAV-IPN in Mexico City, Mexico. He has delivered invited talks, keynote speeches and tutorials at international conferences held in Spain, USA, Canada, Switzerland, UK, Chile, Colombia, Brazil, Uruguay, Argentina, India, Italy, China and Mexico. Dr. Coello has served as a technical reviewer for over 60 international journals and for more than 100 international conferences and actually serves as associate editor of the journals "IEEE Transactions on Evolutionary Computation", "Evolutionary Computation", "Journal of Heuristics", "Soft Computing", "Pattern Analysis and Applications", "Memetic Computing" and "Computational Optimization and Applications", and as a member of the editorial boards of the journals "Engineering Optimization", and the "International Journal of Computational Intelligence Research". He is member of the Mexican Academy of Science, the Association for Computing Machinery, and of Sigma Xi, The Scientific Research Society. He is also a member of the National System of Researchers (Level 3). As of January, 2011, he is also an IEEE Fellow for his "contributions to multi-objective optimization and constraint-handling techniques". He has received the "2007 National Research Award" from the Mexican Academy of Science in the area of exact sciences, the "Medal to the Scientific Merit" from Mexico City's congress and the "Ciudad Capital: Heberto Castillo 2011 Award" in Basic Science. His current research interests are: evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms.

 Prof. Ángel Kuri Morales (Instituto Tecnológico Autónomo de México, Mexico)

Prof. Ángel Fernando Kuri-Morales is an Engineer in Electronics by the Universidad Anáhuac in Mexico City. He got a M.Sc. degree from the University of Illinois and a Ph.D. from Kennedy-Western University. He is the author or co-author seven text books and more than 100 articles published in international magazines and conferences. He has twice received the Merit Medal from the National University (UNAM) for his academic career. He has directed or co-directed over 40 Master's and Doctoral's thesis. His works have been cited in over 30 countries during the last 16 years. He has been a member of the National System of Researchers (SNI) (1999-2015). Won an international prize for the best solution to the "Iterated Prisoner's Dilemma" during the International Congress on Evolutionary Computation in 2000. He has been included in “Who is Who in the World” in 1988, 1998, 2000, 2002, 2003 and 2007-2012. He received the best paper award in the 7th Industrial Conference in Data Mining, Leipzig, Germany (2007); the second best paper award in MICAI (the Mexican International Congress on Artificial Intelligence) in 2013; the best paper award in MICAI in 2014. He has been president of several International Congresses, and invited speaker in many national and international scientific events. He belongs to the Evaluating Committee in the Area of Computer Science of CONACYT (the National Council for Science and Technology in Mexico). He was founding partner of Micromex, Inc. and IDET, Inc. and Director of Applied Research in the Center for Research in Computation of the National Polytechnic Institute. He is a Distinguished Lecturer of the Association for Computing Machinery (ACM) and member of the Scientific Committee of the World Scientific and Engineering Academy and Society (WSEAS). He was a member of the Board of IBERAMIA and President of the Mexican Society for Artificial Intelligence. The methodology he designed for the analysis and processing of large data bases has been adopted as a standard in a major international banking network. Presently he is Professor in the Autonomous Technological Institute of Mexico (ITAM) and External Consultant for Banco Bilbao Vizcaya Argentaria.

Dr. Petar Kormushev (Imperial College London, United Kingdom)

Dr Petar Kormushev is a Lecturer (equiv. to: Assistant Professor) in Robotics and Computing at the Dyson School of Design Engineering. He holds a PhD in Computational Intelligence from Tokyo Institute of Technology, a MSc degree in Artificial Intelligence, a MSc degree in Bio- and Medical Informatics, and a BSc degree in Computer Science from Sofia University. Dr Kormushev's research interests include machine learning and robot learning algorithms, especially reinforcement learning for intelligent robot behavior.  He has conducted research in robotics and machine learning within four FP7 European projects:  WALK-MAN (Whole-body Adaptive Locomotion and Manipulation);  PANDORA (Persistent Autonomy through learNing, aDaptation, Observation and Re-plAnning); STIFF-FLOP (STIFFness controllable Flexible and Learn-able Manipulator for surgical OPerations); AMARSI (Adaptive Modular Architectures for Rich Motor Skills). During 2012-2015 he was a technical coordinator of two FP7 projects (PANDORA and STIFF-FLOP), and a co-chair of the IEEE RAS Technical Committee on Robot Learning. He has received a number of prestigious awards, including the 2013 John Atanasoff award from the President of Bulgaria. His PhD work was supported by a 4-year Japanese government research fellowship Monbukagakusho/MEXT. Dr Kormushev's research focus is on reinforcement learning algorithms and their application to autonomous robots. His long-term goal is to create robots that can learn by themselves and adapt to dynamic environments. You can find details about his Research and Publications, as well as watch Videos from his research experiments with robots.