Dr. Houssain Kettani received the Bachelor's degree in Electrical and Electronic Engineering from Eastern Mediterranean University, Cyprus in 1998, and Master’s and Doctorate degrees both in Electrical Engineering from the University of Wisconsin at Madison in 2000 and 2002, respectively. Dr. Kettani served as faculty member at the University of South Alabama (2002-2003), Jackson State University (2003-2007), Polytechnic University of Puerto Rico (2007-2012), Fort Hays State University (2012-2016), Florida Polytechnic University (2016-2018) and Dakota State University since 2018. Dr. Kettani has served as Staff Research Assistant at Los Alamos National Laboratory in summer of 2000, Visiting Research Professor at Oak Ridge National Laboratory in summers of 2005 to 2011, Visiting Research Professor at the Arctic Region Supercomputing Center at the University of Alaska in summer of 2008 and Visiting Professor at the Joint Institute for Computational Sciences at the University of Tennessee at Knoxville in summer of 2010. Dr. Kettani’s research interests include algorithms, cyber security, machine learning and population studies. He presented his research in over sixty refereed conference and journal publications and his work received over 500 citations by researchers all over the world. He chaired over hundred international conferences throughout the world and successfully secured external funding in millions of dollars for research and education from US federal agencies such as NSF, DOE, DOD, and NRC.
Professor Heng Chen, ever earned his PH.D in Shanghai Jiaotong University, China in Nov.2004, and pursued his postdoctoral study in University of Alberta, Canada from 2005 to 2007. He has been working in Shanghai Institutes for Biological Sciences as a director of database department, who is mainly responsible for the innovative research and development work such as construction of life science information and intelligence database, knowledge mining and extracting, knowledge organization and resource management and other aspects since July 2008. He was ever selected in the outstanding talent introduced plan in the Chinese Academy of Sciences literature and journal publishing field (subject field 100 talent program) in 2010, and was selected in Shanghai Pujiang talent program in 2009. Dr. Heng Chen is currently a member of the advisory Committee of the magazine Hepatitis Monthly (SCIE) and members of editor board of the International Journal of Biochemistry Research & Review, Journal of Biochemistry International, Current Research Journal of Biological Sciences and International Journal of Biochemistry and Molecular Biology. Hitherto, Dr. Heng Chen has published more than 40 scientific research papers in the capacity of the first author or the corresponding author. He has presided over 7 projects at the national, district and local level as project leaders since 2008. So far, he has applied for 4 invention patents, of which 1 has been authorized, and applied for 3 items of software copyright registration.
Ying Tan is a full professor of Peking University, and director of Computational Intelligence Laboratory at Peking University. 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 in 1999 and 2004-2005 as research fellow, and at University of Science and Technology of China in 1998, 2005-2006 as a professor under the 100-talent program of CAS. He also visited many universities including Columbia University, Auckland University of Technology, Kyushu University, California University, etc. He is the inventor of Fireworks Algorithm (FWA). He serves as the Editor-in-Chief of International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Evolutionary Computation (TEC), IEEE Transactions on Cybernetics (CYB), International Journal of Swarm Intelligence Research (IJSIR), International Journal of Artificial Intelligence (IJAI), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for 32+ 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 a senior member of IEEE. 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 many best paper awards. His research interests include computational intelligence, swarm intelligence, swarm robotics, data mining, machine learning, intelligent information processing for information security and financial prediction, etc. He has published more than 300+ papers in refereed journals and conferences in these areas, and authored/co-authored 11 books, including “Fireworks Algorithm” by Springer-Nature in 2015, and “GPU-based Parallel Implementation of Swarm Intelligence Algorithms” by Morgan Kaufmann (Elsevier) in 2016, and 25 chapters in book, and received 4 invention patents.
received the B.S. in Information and Computer
Engineering from Chung Yuan Christian University,
Taiwan, the M.S. in Computer Science and Information
Engineering from National Cheng Kung University,
Taiwan, the M.B.A. from the University of Illinois
at Chicago, Chicago, Illinois, USA, and the Ph.D. in
Management Information Systems from the University
of Wisconsin-Milwaukee, Wisconsin, USA.
He is an Associate Professor of Information Management and Decision Sciences in the School of Business at the College of Charleston, SC, U.S.A. His research has been published in MIS journals and major conference proceedings, including MIS Quarterly, Journal of Association for Information Systems, Decision Support Systems, IEEE Transactions on Systems, Man, and Cybernetics, Computers in Human Behavior, Internet Research, and Journal of Information Systems and e-Business Management. His areas of interests include web design issues in disaster management, ontology development, Internet abuse in the workplace, text mining, data mining, knowledge management, and behavioral studies related to the use of IT.