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Prof. Marco Claudio Campi
University of Brescia, Italy
IEEE Fellow, IFAC Fellow
Bio: In 1988, he received the Doctor degree in electronic engineering from the Politecnico di Milano, Milano, Italy. From 1988 to 1989, he was a Lecturer at the Department of Electrical Engineering of the Politecnico di Milano. From 1989 to 1992, he was a Research Fellow at the Centro di Teoria dei Sistemi of the National Research Council (CNR) in Milano and, in 1992, he joined the University of Brescia, Brescia, Italy. He has held visiting and teaching appointments at the Australian National University, Canberra, Australia; the University of Illinois at Urbana-Champaign, USA; the Centre for Artificial Intelligence and Robotics, Bangalore, India; the University of Melbourne, Australia; the Kyoto University, Japan; the Texas A&M University, USA; the NASA Langley Research Center, Hampton, Virginia. USA.
Marco Claudio Campi was the Chair of the Technical Committee IFAC on Modeling, Identification and Signal Processing (MISP) from 2014 to 2020, and the Chair of the Technical Committee IFAC on Stochastic Systems (SS) from 2002 to 2008. He has been in various capacities on the Editorial Board of various journals, including Automatica, Systems and Control Letters and the European Journal of Control. Marco Campi is a recipient of the "Giorgio Quazza" prize, and, in 2008, he received the IEEE CSS George S. Axelby outstanding paper award for the article The Scenario Approach to Robust Control Design. He has delivered plenary and semi-plenary addresses at major conferences including SYSID, MTNS, and CDC. He has been for four terms a disinguished lecturer of the Control Systems Society. Marco Claudio Campi is a Fellow of IEEE, a Fellow of IFAC, and a member of SIDRA.
The research interests of Marco Claudio Campi include: inductive methods, data-driven decision-making, system identification, stochastic systems and control, randomized methods, and learning theory.
Prof. Yuanyan Tang
University of Macau, China
IEEE Life Fellow, IAPR Fellow, AAIA Fellow
Bio: Ying Tan is a full professor of Peking University, director of Computational Intelligence Laboratory at Peking University, and the inventor of Fireworks Algorithm (FWA). He worked as a professor of Faculty of Design, Kyushu University, Japan, in 2018, at Columbia University as senior research fellow in 2017, and at Chinese University of Hong Kong as research fellow, and at University of Science and Technology of China in 2005-2006 as a professor under the 100-talent program of CAS. He is the president of the IASEI, and also serves as the Editor-in-Chief of IASEI Transactions on Swarm Intelligence, and International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Cybernetics (CYB), IEEE Transactions on Neural Networks and Learning System (NNLS), Neural Networks, International Journal of Swarm Intelligence Research (IJSIR), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for 60+ volumes, and Guest Editors of several referred Journals, including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Information Science, Neurocomputing, Natural Computing, Swarm and Evolutionary Optimization, etc. He is the founder general chair of the ICSI International Conference series since 2010 and the DMBD conference series since 2016. He won the 2nd-Class Natural Science Award of China in 2009 and 2nd-Class Natural Science Award of Ministry of Education of China in 2019 and many best paper awards. His research interests include computational intelligence, swarm intelligence, deep neural networks, machine learning, data mining, intelligent information processing for information security and financial prediction, etc. He has published 400+ papers in refereed journals and conferences in these areas, and authored/co-authored 15 books, including “Fireworks Algorithm” by Springer in 2015, and “GPU-based Parallel Implementation of Swarm Intelligence Algorithms” by Morgan Kaufmann (Elsevier) in 2016, and received 5 invention patents.