Dec. 8-10, 2023, Jinan, China
Speakers
Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009, Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He has published numerous papers in these areas; the current h-index is 106 (Google Scholar). He is also an author of 18 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
Prof. Hamido Fujita is Executive Chairman of i-SOMET Incorporated Association, Japan, and Distinguished Professor at Iwate Prefectural University, Japan, he is also Research Professor at University of Granada, Spain. He is Highly Cited Researcher in Cross-Field for the year 2019 and in Computer Science for the year 2020 and 2021 by Clarivate Analytics. He received Doctor Honoris Causa from Óbuda University, Budapest, Hungary, in 2013 and received Doctor Honoris Causa from Timisoara Technical University, Timisoara, Romania, in 2018, and a title of Honorary Professor from Óbuda University, in 2011. He is Distinguished Research Professor at the University of Granada, and Adjunct Professor with Taipei Technical University, Taiwan, Harbin Engineering University, China and others. He supervised Ph.D. students jointly with the University of Laval, Quebec City, QC, Canada; University of Technology Sydney; Oregon State University, Corvallis, OR, USA; University of Paris 1 Pantheon-Sorbonne, Paris, France; and University of Genoa, Italy. Dr. Fujita is the recipient of the Honorary Scholar Award from the University of Technology Sydney, in 2012. He was the Editor-in-Chief for Knowledge-Based Systems (Elsevier) (2005-2019) and then Emeritus Editor of Knowledge-Based Systems in 2020~. Since 2020 he is currently the Editor-in-Chief of Applied Intelligence (Springer) and the Editor-in-Chief of International Journal of Healthcare Management (Taylor & Francis). He headed a number of projects including intelligent HCI, a project related to mental cloning for healthcare systems as an intelligent user interface between human-users and computers, and SCOPE project on virtual doctor systems for medical applications. He collaborated with several research projects in Europe, and recently he is collaborating in OLIMPIA project supported by Tuscany region on Therapeutic monitoring of Parkison disease. He has published more than 400 articles mainly in high impact factor journals.
Prof. Luis Martínez Lopez was born in 1970. He received the M.Sc. and Ph.D. degrees in Computer Sciences, both from the University of Granada, Spain, in 1993 and 1999, respectively. Currently, he is Full Professor of Computer Science Department at the University of Jaén. His current research interests are fuzzy decision making, linguistic preference modelling, fuzzy systems, decision support systems, personalized marketing, computing with words and recommender systems. He co-edited eleven journal special issues on fuzzy preference modelling, soft computing, linguistic decision making and fuzzy sets theory and has been main researcher in 14 R&D projects, also has published more than 120 papers in journals indexed by the SCI as well as 33 book chapters and more than 150 contributions in International Conferences related to his areas. He is member of the European Society for Fuzzy Logic and Technology, IEEE. Co-Editor in Chief of the of the International Journal of Computational Intelligence Systems and an Associated Editor of the journals IEEE Transactions on Fuzzy Systems, Information Fusion, the International Journal of Fuzzy Systems, Journal of Intelligent & Fuzzy Systems, Applied Artificial Intelligence, Journal of Fuzzy Mathematics and serves as member of the journal Editorial Board of the Journal of Universal Computer Sciences. He received twice the IEEE Transactions on Fuzzy Systems Outstanding Paper Award 2008 and 2012 (bestowed in 2011 and 2015 respectively). And he is Visiting Professor in University of Technology Sydney, University of Portsmouth Isambard Kingdom Brunel Fellowship Scheme), in the Wuhan University of Technology (Chutian Scholar), Guest Professor in the Southwest Jiaotong University and Honourable professor in Xihua University both in Chengdu (China). Eventually, he has been appointed as Highly Cited Researcher 2017 and 2018 in Computer Science according to the Web of Science.
Prof. Hui Xiong holds esteemed positions at the Hong Kong University of Science and Technology (Guangzhou) as a Chair Professor, Associate Vice President for Knowledge Transfer, and Head of the Artificial Intelligence Thrust. Dr. Xiong’s research interests include data science and artificial intelligence. Dr. Xiong received his Ph.D. in Computer Science from the University of Minnesota – Twin Cities, USA. He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM), a General Co-Chair for the 2015 IEEE International Conference on Data Mining (ICDM), and a Program Co-Chair of the Research Track for the 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. He previously served as Chief Scientist (Smart City) and Deputy Dean of Baidu Research Institute, leading five research labs. Prof. Xiong has received numerous honors and awards. He received the 2021 AAAI Best Paper Award, the 2017 IEEE ICDM Outstanding Service Award, and the 2011 IEEE ICDM Best Research Paper award. For his outstanding contributions to data mining and mobile computing, he was elected as Fellow of the American Association for the Advancement of Science (AAAS), Distinguished Scientist of the Association for Computing Machinery (ACM), and Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He is also recognized for his talent cultivation as many of his PhD students have become tenure-track professors worldwide.
Prof. Xiaohang Yue is a tenured professor at the Lubar School of Business, University of Wisconsin, Milwaukee (USA) and a PhD in management Science from the University of Texas at Dallas (USA). Prof. Yue is a member of the Association for Supply Chain Management, the Association for Management Science and Operations Research, and the Association for Operations Management. His research interests include supply chain and logistics management, production and marketing management, and industrial manufacturing systems management. He serves on the editorial board of the internationally renowned journal Production and Operations Management. Prof. Yue has published more than 40 papers in internationally renowned SSCI/SCI journals, such as Operations Research, Production and Operations Management, Naval Research Logistics, IIE Transactions, Decision Sciences, EJOR, IJPR, IJPE, ANOR, Omega, JORS, JBR, etc. He is now a reviewer of OR, MSOM, EJOR, JOM and other internationally renowned journals.
Prof. Kevin W. Li is currently a professor at the Odette School of Business, University of Windsor, Canada. He received his B.S. degree in Control Science from Xiamen University, China in 1991, his M.E. degree in Systems Engineering from Xiamen University, China in 1994, and his Ph.D. degree in Systems Design Engineering from University of Waterloo, Canada in 2003. Prof. Li has published more than 60 academic papers in important journals in the field of management, such as European Journal of Operational Research, International Journal of Production Economics, Transportation Research Part E: Logistics and Transportation Review, IEEE Transactions on Fuzzy Systems, and Information Sciences. He is currently the associate editor of SSCI journal Group Decision and Negotiation and the editorial board of several other SCI/SSCI journals. His research interests include logistics and supply chain management, group decision theory, etc.
Prof. Wenbin Liu earned his Ph.D. degree from University of Leeds, England. He began his academic career at Central South University, China, and taught successively at Imperial College, England from 1991 to 1994, followed by the University of Kent, England since 1995. With a wealth of experience in administration and management, he was appointed as the Head of Management Science Sector of Kent Business School and the Director of Joint Research Centre for Anglo-Chinese Business and Management. Besides his deanship and Chair Professor position at UIC, Prof. Liu also serves as a Professor of Beijing Normal University; the Overseas Professor in Evaluation Centre, Chinese Academy of Sciences (CAS); the Overseas Assessor for management and mathematics, CAS; the Executive Vice Director of UIC-WingChain Blockchain Research Centre; the Vice Chairman of the Chinese Evaluation Association, Chinese Society of Optimization, Overall Planning and Economic Mathematics; and the Deputy Director of CSIAM Activity Group on Financial Technology and Algorithm. Prof. Liu’s main research areas are in Management and Computational Mathematics, specifically in productivity and performance analysis, scientometrics and research evaluation, numerical partial differential equations, and computational optimal control. Over 200 of his research papers have been published or accepted for publication, mostly in major international journals. He has also taken up the Editorships of several journals, including Omega - The International Journal of Management Science, Information Process Management, and Journal of Research Management, etc.
Prof. Zhongzhong Jiang is currently the dean, professor and doctoral supervisor of the School of Business Administration, Northeastern University. He is the director of the Institute of Behavior and Service Operation Management, Northeastern University. He has been a visiting professor at the University of Minnesota, and a key member of the Innovation Research Group of the National Natural Science Foundation of China and major international cooperation projects. He is on the editorial board of the internationally renowned journal Decision Sciences, director of Chinese Society of Management Science and Engineering, executive director of Random Service and Operation Management Branch of Chinese Operations Research Society, executive director of Behavioral Operation Research and Management Branch of Chinese Operations Research Society. In recent years, he has undertaken a number of youth, general and key projects of the National Natural Science Foundation of China, focusing on e-commerce and sharing economy, behavior operation and revenue management, logistics and supply chain optimization, service operation and service-oriented manufacturing, etc. He has published more than 70 papers in top/important academic journals such as MSOM, NRL, TRB, EJOR, OMEGA, DSS, AOR, COR and TRE, and won 12 provincial and ministerial outstanding achievement awards. He has been awarded Liaoning Youth Science and Technology Award, Outstanding Young Scholars of Universities in Liaoning Province, and High-level Leading Talents in Shenyang.
Prof. Dongrui Wu received a B.E in Automatic Control from the University of Science and Technology of China, Hefei, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore in 2006, and a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor and Deputy Director of the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. Prof. Wu's research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He has 150 publications (6,400+ Google Scholar citations; h=39), including a book "Perceptual Computing" (Wiley-IEEE Press, 2010), and five US/PCT patents. Prof. Wu is an Associate Editor of the IEEE Transactions on Fuzzy Systems (2011-2018; 2020-), the IEEE Transactions on Human-Machine Systems (since 2014), the IEEE Computational Intelligence Magazine (since 2017), and the IEEE Transactions on Neural Systems and Rehabilitation Engineering (since 2019). He was the lead Guest Editor of the IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence and Affective Computing, and the IEEE Transactions on Fuzzy Systems Special Issue on Brain Computer Interface. He is a Senior Member of the IEEE, a Board member and Distinguished Speaker of the NAFIPS, and a member of IEEE Systems, Man and Cybernetics Society Brain-Machine Interface Systems Technical Committee, IEEE CIS Fuzzy Systems Technical Committee, Emergent Technologies Technical Committee, and Intelligent Systems Applications Technical Committee. He has been Chair/Vice Chair of the IEEE CIS Affective Computing Task Force since 2012.
Prof. Ruidong Zhang received a B.S. from Beijing University of Posts & Telecommunications, China, a M.A. form People's University of China, and a PhD from University of Nebraska - Lincoln. He is now Professor in Business Communication and Information Systems, University of Wisconsin - Eau Claire. Prof. Zhang's research interests include Data communications and networking, LAN administration, Systems analysis and design, and Application programming. He is mainly engaged in the teaching and research work of computer network, data center server management and enterprise network resource management. Many academic papers have been published in international academic journals and important academic conferences.