IEEE ITAIC 2023 Keynote Speakers
Prof.Yi-Fei PU, Sichuan University
Yi-Fei PU received Ph.D. from College of Electronics and Information Engineering, Sichuan University, China, in 2006. He is a Full Professor, and Doctoral Supervisor with the College of Computer Science, Sichuan University, and is elected into the Thousand Talents Program of Sichuan Province and the Academic and Technical Leader of Sichuan Province. He focuses on the application of fractional calculus and fractional partial differential equation to signal analysis, signal processing, image processing, circuits and systems, and machine intelligence. He has published with the first author’s identity more than 20 papers indexed by SCI in journals such as International Journal of Neural Systems, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Internet of Things Journal, IEEE Intelligent Transportation Systems Magazine, IEEE Access, Mathematic Methods in Applied Sciences, and Science in China Series F: Information Sciences, Science China Information Sciences, etc. He held several research projects, such as National Key Research and Development Program Foundation of China, National Nature Science foundation of China, Returned Overseas Chinese Scholars Project of Education Ministry of China, etc., and held 14 China Inventive Patents as the first or single inventor. He won Wu Wen Jun AI Science & Technology Award (Natural Science Award) in 2018.
Prof.Jian Wang, China University of Petroleum
Dr.Jian Wang is currently a Professor and servers as the Head of the Cross-Media Big Data Joint Laboratory with the College of Science, China University of Petroleum (East China), Qingdao, China. He received his Ph.D. degree in Computational Mathematics from Dalian University of Technology, China. His research interests include computational intelligence, machine learning, pattern recognition, deep learning, differential programming, clustering, fuzzy systems, evolutionary computation. He was awarded several grants from the National Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities. Prof. Wang serves as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems (IF: 8.793), International Journal of Machine Learning and Cybernetics (IF: 3.753), and Journal of Applied Computer Science Methods. He also serves on the Editorial Board for the Neural Computing & Applications (IF: 4.774) and Complex & Intelligent Systems (IF: 3.791). In addition, He has served as the General Chair, the Program Chair, and the Co-Program Chair of several conferences such as the International Symposium on New Trends in Computational Intelligence, IEEE Symposium Series on Computational Intelligence and International Symposium on Neural Networks.
Prof.Liang Feng, Chongqing University
Liang Feng received the Ph.D degree from the School of Computer Engineering, Nanyang Technological University, Singapore, in 2014. He is currently a Professor at the College of Computer Science, Chongqing University, China. His research interests mainly include Computational and Artificial Intelligence, Memetic Computing, Big Data Optimization and Learning, as well as Transfer Learning and Optimization. He has been honored with the 2019 IEEE TEVC Outstanding Paper Award, the 2023 IEEE TETCI Outstanding Paper Award, and the 2024 IEEE CIM Outstanding Paper Award. He is Associate Editor of the IEEE TEVC, IEEE TETCI, IEEE CIM, Memetic Computing, etc. He is also the founding Chair of the IEEE CIS Intelligent Systems Applications Technical Committee Task Force on “Transfer Learning & Transfer Optimization”.
IEEE ITAIC 2022 Keynote Speakers
Prof.Shengxiang Yang,De Montfort University, UK
Shengxiang Yang (http://www.tech.dmu.ac.uk/~syang/) got his PhD degree from Northeastern University, China in 1999. He is now a Professor of Computational Intelligence (CI) and Deputy Director of the Institute of Artificial Intelligence, School of Computer Science and Informatics, De Montfort University, UK. He has worked extensively for many years in the areas of CI methods, including evolutionary computation, artificial neural networks, data mining and data stream analysis, and their applications for real-world problems. He has over 350 publications with an H-index of 63 according to Google Scholar. His work has been supported by UK research councils, EU FP7 and Horizon 2020, and industry partners. He serves as an Associate Editor or Editorial Board Member of several international journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Information Sciences, and Enterprise Information Systems, etc. He was the founding chair of the Task Force on Intelligent Network Systems (TF-INS, 2012-2017) and the chair of the Task Force on Evolutionary Computation in Dynamic and Uncertain Environments (ECiDUEs, 2011-2017) of the IEEE Computational Intelligence Society. He has given over 20 keynote speeches and tutorials at international conferences.
Prof.Jian Wang,China University of Petroleum
Dr.Jian Wang is currently a Professor and servers as the Head of the Cross-Media Big Data Joint Laboratory with the College of Science, China University of Petroleum (East China), Qingdao, China. He received his Ph.D. degree in Computational Mathematics from Dalian University of Technology, China. His research interests include computational intelligence, machine learning, pattern recognition, deep learning, differential programming, clustering, fuzzy systems, evolutionary computation. He was awarded several grants from the National Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities. Prof. Wang serves as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems (IF: 8.793), International Journal of Machine Learning and Cybernetics (IF: 3.753), and Journal of Applied Computer Science Methods. He also serves on the Editorial Board for the Neural Computing & Applications (IF: 4.774) and Complex & Intelligent Systems (IF: 3.791). In addition, He has served as the General Chair, the Program Chair, and the Co-Program Chair of several conferences such as the International Symposium on New Trends in Computational Intelligence, IEEE Symposium Series on Computational Intelligence and International Symposium on Neural Networks.
IEEE ITAIC 2020 Keynote Speakers
Dr.Bo An,Nanyang Technological University, Singapore
Bo An is a President’s Council Chair Associate Professor in Computer Science and Engineering, and Co-Director of Artificial Intelligence Research Institute (AI.R) at Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. His research results have been successfully applied to many domains including infrastructure security and e-commerce. He has published over 100 referred papers at AAMAS, IJCAI, AAAI, ICAPS, KDD, UAI, EC, WWW, ICLR, NeurIPS, ICML, JAAMAS, AIJ and ACM/IEEE Transactions. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, and 2018 Nanyang Research Award (Young Investigator). His publications won the Best Innovative Application Paper Award at AAMAS’12 and the Innovative Application Award at IAAI’16. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He was invited to be an Advisory Committee member of IJCAI’18. He is PC Co-Chair of AAMAS’20. He is a member of the editorial board of JAIR and the Associate Editor of JAAMAS, IEEE Intelligent Systems, and ACM TIST. He was elected to the board of directors of IFAAMAS and senior member of AAAI..
Dr.Yang XU,Peking University, China
Yang XU received his Ph.D. from Ecole Centrale de Nantes (France) in 2010. Since 2011, he has joined Peking University and is now deputy dean of Department of Information Management, Peking University. He is visiting professor in Tsukuba University (Japan), Université Toulouse III (France), University of Buenos Aires (Argentina) and University of Edinburgh (UK). He published over 50 peer-reviewed scientific papers and many of them are published in reputed journals such as Computers & Industrial Engineering, Knowledge-Based Systems, Expert Systems, International Journal of Computer Integrated Manufacturing, Knowledge Organization, CIRP Annals. His research interests include information systems, knowledge management, etc.
Dr.Xiaohan Zeng,Airbnb, Inc., USA
Xiaohan Zeng is a senior software engineer on the machine learning infrastructure team at Airbn. Currently, he is focused on developing Airbnb’s end-to-end machine learning platform, Bighead, and helping teams across the company deliver machine learning models in a seamless, consistent, and scalable manner. Previously, he worked on the machine learning platform team at Groupon. He received his bachelor’s degree from Tsinghua University and PhD from Northwestern University, and started to pursue a career in software engineering and machine learning after doing research in data science. Outside work, he enjoys reading, writing, traveling, and movies.
IEEE ITAIC 2019 Keynote Speakers
Prof.Nikhil R. Pal, IEEE Fellow,President of the IEEE CIS,Indian Statistical Institute, India
Nikhil R. Pal is a Professor in the Electronics and Communication Sciences Unit of the Indian Statistical Institute. His current research interest includes brain science, computational intelligence, machine learning and data mining.
He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period January 2005-December 2010. He has served/been serving on the editorial /advisory board/ steering committee of several journals including the International Journal of Approximate Reasoning, Applied Soft Computing, International Journal of Neural Systems, Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Cybernetics.
He is a recipient of the 2015 IEEE Computational Intelligence Society (CIS) Fuzzy Systems Pioneer Award, He has given many plenary/keynote speeches in different premier international conferences in the area of computational intelligence. He has served as the General Chair, Program Chair, and co-Program chair of several conferences. He is a Distinguished Lecturer of the IEEE CIS (2010-2012, 2016-2018.) and was a member of the Administrative Committee of the IEEE CIS (2010-2012). He has served as the Vice-President for Publications of the IEEE CIS (2013-2016). He is serving as the President of the IEEE CIS (2018-2019).
He is a Fellow of the National Academy of Sciences, India, Indian National Academy of Engineering, Indian National Science Academy, International Fuzzy Systems Association (IFSA), The World Academy of Sciences, and a Fellow of the IEEE, USA. (www.isical.ac.in/~nikhil)
Prof.Jun Wang,IEEE Fellow,IAPR Fellow,City University of Hong Kong, Hong Kong
Jun Wang is the Chair Professor Computational Intelligence in the Department of Computer Science and School of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and the Chinese University of Hong Kong. He also held various short-term visiting positions at USAF Armstrong Laboratory, RIKEN Brain Science Institute, Dalian University of Technology, Huazhong University of Science and Technology, and Shanghai Jiao Tong University (Changjiang Chair Professor). He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology and his Ph.D. degree in systems engineering from Case Western Reserve University. His current research interests include neural networks and their applications. He published over 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial board of Neural Networks (2012-2014), editorial advisory board of International Journal of Neural Systems (2006-2013. He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He is an IEEE Fellow, IAPR Fellow, and an IEEE Systems, Man and Cybernetics Society Distinguished Lecturer (2017-2018), and was an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee; IEEE Computational Intelligence Society Awards Committee; IEEE Systems, Man, and Cybernetics Society Board of Governors, He is a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Neural Networks Pioneer Award from IEEE Computational Intelligence Society in 2014, among other distinctions.
Prof.Yinong Chen, Arizona State University, USA
Yinong Chen received his Ph.D. from the University of Karlsruhe (KIT), Germany, in 1993. He conducted postdoctoral research at KIT in 1993 and at the LAAS-CNRS (Laboratory of Architecture and Analysis of Systems - French National Scientific Research Organization), France in 1994. From 1994 to 2000, he was with the Wits University at Johannesburg, South Africa. He was the funding director for the Highly Dependable System Research Program at the university and a rated research fellow at South African National Science Foundation. Dr. Chen joined Arizona State University in 2001 and is a principal lecturer in Computer Science, a Ph.D. student advisor in Computer Engineering, the director of the Internet of Things and Robotics Education Laboratory, and an honors faculty in the Barrett Honors College of the university. Dr. Chen is an associate editor of the Elsevier Journal: Simulation Modeling Practice and Theory, since Jan 2006, an associate editor of the International Journal of Simulation and Process Modelling (IJSPM) since Jan 2004, an associate editor of CAAI Transactions on Intelligence Technology since Jan 2016, and an editorial board member of the Journal of Systems & Software (JSS) since Jan 2004. Dr. Chen’s primary research interests are in service-oriented computing, cloud computing, Robot as a Service, Internet of Things, and computer science education. He (co-) authored ten books and over 200 technical papers in these areas, including the textbooks 《Service-Oriented Computing and Web Software Integration》 6th edition 2018, 《Introduction to Programming Language》 5th edition, 2017 published in the U.S., and《面向服务的计算和Web数据管理—从原理到开发》2013, 《计算机科学与工程导论: 基于IoT和机器人的可视化编程实践方法》, 第二版, 2017, and 《浅谈深析面向服务的软件工程》2008.
