Committee

Professor Witold Pedrycz, IEEE Life Fellow, University of Alberta, Canada

Witold Pedrycz (Life Fellow, IEEE) received the M.Sc., Ph.D., and D.Sc. degrees from the Silesian University of Technology, Gliwice, Poland, in 1977, 1980, and 1984, respectively. He is currently a Professor with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada, the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Sariyer/Istanbul, Turkey, and also the Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia. He has published numerous papers in these areas; the current H-index is 125 (Google Scholar). He is 82 on the list top-h scientists for computer science and electronics (https://www.guide2research.com/scientists/) (link is external). He is also the author of 21 research monographs and edited volumes covering various aspects of computational intelligence, data mining, and software engineering. His research interests include computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. In 2012, he was elected a Fellow of the Royal Society of Canada. In 2007, he received the Prestigious Norbert Wiener Award from the IEEE Systems, Man, and Cybernetics Society. He was a recipient of the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Centre for Soft Computing, the Killam Prize, the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and the 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. He is vigorously involved in editorial activities. He is also the Editor-in-Chief of Information Sciences, the Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and the Co-Editor-in-Chief of International Journal of Granular Computing (Springer) and Journal of Data Information and Management (Springer). He is a member of a number of editorial boards of international journals.

Professor Liang Hu, Tongji University, China

Dr Liang Hu is a professor with Tongi University and also the Chief Al Scientist with DeepBlue Academy of Sciences, China. His research interests include recommender systems, machine leaming, data science and general intelligence. He has published a number of papers in top rank interational conferences and journals, including WWW, IJCAI, AAAL, ICDM, TOIS, TKDE, TNNLS. He has been invited as the program commitee members of more than 30 top-rank Al interational conferences, including AAAI, IJCAI, ICDM, CIKM, and KDD. He also serves as the reviewer of more than ten top-rank interational journals, including ACM CSUR, IEEE TKDE, ACM TOIS, IEEE TPAMl, etc. In addition,he has presented more than ten tutorials on recommender systems and machine leaing at top-rank Al conferences including IJCAl, AAAl, SIGIR, WWW and ICDM.

Professor Yingxu Wang, IEEE Fellow, University of Calgary, Canada

My research interests are in brain science, brain informatics, cognitive informatics, neuroinformatics, neurocomputing, denotational mathematics, cognitive robotics, and computational intelligence. My lab is developing a coherent mathematical model of the brain at the neuron, physiological, cognitive, and logical levels from the bottom up. Some current results are such as the Layered Reference Model of the Brain (LRMB), the Abstract Intelligent Model of the Brain (AIMB) mapping onto brain’s physiological structures, the Neural Circuit Theory, the Memory Model of the Brain (MMB), and the mathematical model of consciousness. Latest findings in these areas have been applied in neural and cognitive science, clinical studies, cognitive informatics, and computational intelligence. The studies result in novel technologies initiated in my lab such as cognitive robotics, cognitive computers, cognitive knowledge bases, the machine learning engine, and the estimation of human memory capacity.

I am the founding Editor-in-Chief of Int. Journal of Cognitive Informatics & Natural Intelligence (IJCINI), founding Editor-in-Chief of Int. Journal of Software Science & Computational Intelligence (IJSSCI), Associate Editor of IEEE Trans. on SMC (Systems), and Editor-in-Chief of Journal of Advanced Mathematics & Applications (JAMA). I’ve served as general chairs/program chairs/keynote speakers in more than 20 international conferences.

Professor Ljiljana Trajkovic, IEEE Fellow, Simon Fraser University, Canada

Ljiljana Trajkovic received the Dipl. Ing. degree from the University of Pristina, Yugoslavia, the M.Sc. degree in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from the University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director and President of the IEEE Systems, Man, and Cybernetics Society and the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She is a Distinguished Lecturer of the IEEE Circuits and System Society and the IEEE Systems, Man, and Cybernetics Society and a Fellow of the IEEE.

Professor Philippe Fournier-Viger, IEEE Senior Member, Shenzhen University, China

Philippe Fournier-Viger (Ph.D) is a Canadian researcher, distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving a talent title from the National Science Foundation of China. He has published more than 375 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 11,000 citations. He is the founder of the popular SPMF data mining library, offering more than 250 algorithms to find patterns in data, cited in more than 1,000 research papers. He is former associate edito-in-chief of the Applied Intelligence journal and has been keynote speaker for over 15 international conferences and co-edited four books for Springer. He is a co-founder of the UDML, PMDB and MLiSE series of workshops held at the ICDM, PKDD, DASFAA and KDD conferences. 

Professor Cairong Zhao, Tongji University, China

Cairong Zhao is currently a Professor of College of Electronic and Information Engineering at Tongji University. He received a Ph.D. degree from Nanjing University of Science and Technology, an M.S. degree from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences and a B.S. degree from Jilin University, in 2011, 2006 and 2003, respectively. He works on visual and intelligent learning, including computer vision, pattern recognition and visual surveillance. He has authored more than 40 journal and conference papers in these areas.

Professor Maria Pia Fanti, IEEE Fellow,  Polytechnic University of Bari, Italy

Maria Pia Fanti received the Laurea degree in electronic engineering from the University of Pisa, Pisa, Italy, in 1983. She was a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Since 1983, she has been with the Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy, where she is currently a Full Professor of system and control engineering and Chair of the Laboratory of Automation and Control. Currently, she is IEEE Fellow and Fellow of the Asia-Pacific Artificial Intelligence Association. Her research interests include management and modeling of transportation, logistics and manufacturing systems; discrete event systems; Petri nets; consensus protocols; fault detection. Prof. Fanti has published more than 335 papers and two textbooks on her research topics. 

She was senior editor of the IEEE Trans. on Automation Science and Engineering and she is Associate Editor of the IEEE Trans. on Systems, Man, and Cybernetics: Systems. She was member at large of the Board of Governors of the IEEE Systems, Man, and Cybernetics Society, and currently she is member of the AdCom of the IEEE Robotics and Automaton Society, and chair of the Technical Committee on Automation in Logistics of the IEEE Robotics and Automation Society. Prof. Fanti was General Chair of the 2011 IEEE Conference on Automation Science and Engineering, the 2017 IEEE International Conference on Service Operations and logistics, and Informatics and the 2019 IEEE Systems, Man, and Cybernetics Conference.

Professor Wai Lok Woo, IEEE Fellow, Northumbria University NEWCASTLE, England

Prof Wai Lok Woo received the BEng and MSc degrees in Electrical and Electronics Engineering, and the PhD degree in Statistics and Machine Learning from the Newcastle University, UK. He is the recipient of the IEE Prize and the British Commonwealth Scholarship.

Prof Woo currently holds the Chair in Machine Learning with Northumbria University, UK. He is the Faculty Postgraduate Research Director (Engineering and Environment), and Head of Research Cluster for Artificial Intelligence and Digital Technology. He was previously the Director of Research for Newcastle Research and Innovation Institute, and Director of Operations of Newcastle University. His major research is in the mathematical theory and algorithms for data science and analytics. This includes areas of artificial intelligence, machine learning, data mining, latent component analysis, multidimensional signal and image processing. He has an extensive portfolio of relevant research supported by a variety of funding agencies. He has published over 450 papers on these topics on various journals and international conference proceedings. He serves as Associate Editor to several international signal processing journals including IET Signal Processing, Journal of Acoustics, Journal of Electrical and Computer Engineering. He actively participate in international conferences and workshops, and serves on their organizing and technical committees. He is a Fellow of the Institution Engineering Technology (IET) and Institution of Electrical and Electronic Engineering (IEEE). Prof Woo has delivered more than 20 keynote addresses in Singapore, China, Malaysia, Indonesia, Ireland, Latvia,  Portugal, Spain and the United Kingdom. He provides expert evaluation to several funding bodies in the UK, the EU (Horizon2020) and North America.

Professor Guandong Xu, University of Technology Sydney, Australia

Dr Guandong Xu is a Professor in the School of Computer Science and Data Science Institute at UTS and an award-winning researcher working in the fields of data mining, machine learning, social computing and other associated fields. Guandong is the Director of the UTS-Providence Smart Future Research Centre, which targets research and innovation in disruptive technology to drive sustainability. His research has attracted funding of more than $8 million from the ARC, government and industry. He also heads the Data Science and Machine Intelligence Lab, which is dedicated to research excellence and industry innovation across academia and industry, aligning with the UTS research priority areas in data science and artificial intelligence. Guandong has had more than 240 papers published in the fields of Data Science and Data Analytics, Recommender Systems, Text Mining, Predictive Analytics, User Behaviour Modelling, and Social Computing in international journals and conference proceedings in recent years, with increasing citations from academia. 

Professor Jian Cao, IEEE Senior Member, Shanghai Jiao Tong University, China

Prof. Jian Cao is currently a tenured professor with the Department of Computer Science and Engineering, Shanghai Jiao Tong University. He is also the director of research institute of network computing and service computing. Prof. Cao's research interests include intelligent data analytics, service computing, collaborative computing and software engineering. Besides national and provincial government research grants, his research is also supported by many industry partners. He has published more than 300 research papers in prestigious journals and conferences. Prof. Cao has won 10 ministerial or provincial level scientific and technological achievements rewards. Currently, he is the distinguished member of CCF and the senior member of IEEE.

Professor Hamid Reza Karimi, IEEE Senior Member, Politecnico di Milano, Italy

Hamid Reza Karimi is currently Professor of Applied Mechanics with the Department of Mechanical Engineering, Politecnico   di   Milano,  Milan, Italy. Karimi’s original research and development achievements span a broad spectrum within the topic of automation/control systems, and intelligence systems with applications to complex systems such as wind turbines, vehicles, robotics and mechatronics. Prof. Karimi is an ordinary Member of Academia Europa (MAE), Distinguished Fellow ofthe International Institute of Acoustics and Vibration (IIAV), Fellow of TheInternational Society for Condition Monitoring (ISCM), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), Member of Agder Academy of Science and Letters and also a member of the IFAC Technical Committee on Mechatronic Systems, the IFAC Technical Committee on Robust Control, the IFAC Technical Committee on Automotive Control as well as member of the board of Directors of The International Institute of Acoustics and Vibration (IIAV). Prof. Karimi is the recipient of the 2021 BINDT CM Innovation Award, the 2016-2021 Web of Science Highly Cited Researcher in Engineering, the 2020 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award, August-Wilhelm-Scheer Visiting Professorship Award, JSPS (Japan Society for the Promotion of Science) Research Award, and Alexander-von-Humboldt-Stiftung research Award, for instance. Prof. Karimi is currently the Editor-in-Chief of the Journal of Cyber-Physical Systems, Subject Editor, Technical Editor or Associate Editor for  some international  journals and Book Series Editor for Springer, CRC Press and Elsevier. He has also participated as General Chair, keynote/plenary speaker, distinguished speaker or program chair for several international conferences in the areas of Control Systems, Robotics and Mechatronics.

Lecturer Nengjun Zhu, Shanghai University, China

Dr. Nengjun Zhu is currently with the School of Computer Engineering and Science, Shanghai University. He is a master supervisor, CCF TCCC Executive Member, and PRIJCAI 2022 Local Chair. He received a bachelor degree from Sichuan University and a Ph.D. degree from Shanghai Jiao Tong University (SJTU). Nengjun Zhu has been a visiting scholar at Rutgers, the State University of New Jersey, and a reseracher at Baidu Reserach. His research interests include recommender systems, data mining, and decision support systems.