The 6th International Conference on 3D Imaging Technologies - Multidimensional Signal Processing and Deep Learning
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Keynote Speakers

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Prof.Carlos Artemio Coello Coello CINVESTAV-IPN, Mexico

Carlos Artemio Coello Coello received a PhD in Computer Science from Tulane University (USA) in 1996. His research has mainly focused on the design of new multi-objective optimization algorithms based on bio-inspired metaheuristics (e.g., evolutionary algorithms), which is an area in which he has made pioneering contributions. He currently has more than 500 publications, including more than 180 journal papers and 55 book chapters. He has published a monographic book and has edited 3 more books with publishers such as World Scientific and Springer. He has supervised 22 PhD theses (including 3 in Argentina) and 48 Masters thesis (including one in France). Several of the PhD theses that he has supervised, have received awards in national competitions. He has also received (with his students) several “best paper awards” at different international conferences. He is also the only Latin American who has been awarded (twice) the “outstanding paper award” of the IEEE Transactions on Evolutionary Computation. His publications currently report 61,254 citations in Google Scholar. According to Scopus, Dr. Coello has 25,379 citations, excluding self-citations and citations from all his co-authors. His h-index is 95, according to Google Scholar, 68 according to Scopus and 64 according to Clarivate Analytics (formerl known as ISI Web of Science). In the ShanghaiRanking’s Global Ranking of Academic Subjects 2016 developed by Elsevier, he appears as one of the 300 most highly cited scientists in the world in “Computer Science”, occupying the first place in Mexico. He has received several awards, including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City's congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico's edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico's presidency (this is the most important award that a scientist can receive in Mexico). He also received the Luis Elizondo Award from the Tecnológico de Monterrey in 2019. Additionally, he is the recipient of the 2013 IEEE Kiyo Tomiyasu Award, "for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics", of the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”, and of the 2021 IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award. Since January 2011, he is an IEEE Fellow. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation. He is Full Professor with distinction (Investigador Cinvestav 3F) at the Computer  Science Department of CINVESTAV-IPN in Mexico City, Mexico.
Title: Towards Evolutionary Multi-Objective Machine Learning: Challenges and Promises
Abstract
In this talk, I'll briefly discuss some of the possible ways in which evolutionary multi-objective optimization may benefit machine learning including some of the current challenges in this area.

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Dr. Margarita N. Favorskaya
Reshetnev Siberian State University of Science and Technology, Russian Federation

Dr. Margarita N. Favorskaya is a Professor and Head of Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES International since 2010, the IPC member and the Chair of invited sessions of over 30 international conferences. She serves as an associate editor of many internationals journals including Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-edited/co-authored 50+ books for Springer. Her main research interests are in the theory and applications of artificial intelligence, and information technologies.