TOCS2024

Keynote Speakers

Witold Pedrycz

Research field： Computational Intelligence; Fuzzy Modeling and Granular Computing; Knowledge Discovery and Data Science; Pattern Recognition; Data Science; Knowledge-Based Neural Networks; Control Engineering.

Professor, 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.

Pascal Lorenz

Research field： QoS; Wireless Networks; High-Speed Networks.

Professor, IEEE Senior Member, University of Haute-Alsace, France.

Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.

Haibin Zhu

Research field： Collaboration Systems; Human-Machine Systems; Computational Social Systems; Collective Intelligence; Multi-Agent Systems; Software Engineering; Distributed Intelligent Systems.

Professor, IEEE Senior Member, Nipissing University, Canada.

Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of the University Budget Plan committee, Arts and Science Executive Committee, Nipissing University, Canada. He is also an affiliate professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He has accomplished (published or in press) over 230+ research works including 40+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings. He is a fellow of I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), a senior member of ACM and IEEE, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA). He is serving as Vice President, Systems Science and Engineering (SSE) (2023-2024), a member-at-large of the Board of Governors (2022-), and a co-chair (2014-) of the technical committee of Distributed Intelligent Systems of IEEE Systems, Man and Cybernetics (SMC) Society (SMCS), Editor-in-Chief of IEEE SMC Magazine (2022), Associate Editor (AE) of IEEE Transactions on SMC: Systems (2019-), IEEE Transactions on Computational Social Systems(2019-), Frontiers of Computer Science (2021-), and IEEE Canada Review (2019-). He was AE of IEEE SMC Magazine (2018-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Program (Co-)Chair for many international conferences, and a PC member for 130+ academic conferences. He is the founding researcher of Role-Based Collaboration and the creator of the E-CARGO model. He has offered 15+ keynote speeches for international conferences and 90+ invited talks internationally. His research has been being sponsored by NSERC, IBM, DNDC, DRDC, and OPIC.

Xiaodong Liu

Research field： Pervasive Systems (Internet of Things); Service-Oriented Architecture; Evolution of Cloud Services; Intelligence-Driven Smart Systems.

Professor, IEEE Senior Member, Edinburgh Napier University, UK

Prof Xiaodong Liu has been very active in the research in AI-driven software engineering, focusing on pervasive systems (Internet of Things), service-oriented architecture, evolution of cloud services, and intelligence-driven smart systems. He has won 12 external grants and successfully led or leading these externally funded projects with the role of principal investigator. Currently Prof Liu leads the Intelligence-Driven Software Engineering Research Group. He is the founder a spin out company, FlexiCAGE Ltd. He has published 170 papers in refereed international journals and conferences and 5 book chapters. He is the inventor of 1 patent in Generative Component Adaptation registered in UK, USA and at International Level (PCT). He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the associate editor of 2 international journals and the editorial board member of 3 international journals. He is the chief editor of 3 IGI Global Research Handbooks. He is the regular reviewer of other 6 international journals. He is a senior member of IEEE Computer Society, and a member of British Computer Society.

Philip W. T. Pong

Research field： Fault Detection; Predictive Maintenance; Anomaly Detection of Power Grid.

Associate Professor, IEEE Senior Member, New Jersey Institute of Technology, USA.

Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he obtained a PhD in engineering at the University of Cambridge in 2005. He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. Currently he is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research interest focuses on the fault detection, predictive maintenance, and anomaly detection of power grid. He is the Founding Director of the Green Technology Research and Training Laboratory, leading the research and education activities of offshore wind energy at NJIT. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

Muazzam A. Khan Khattak

Research field： Internet of Things; Internet of Vehicles; Internet of Medical Things; Information & Network Security; Multimedia Encryption and Compression; Block Chain & IOTA.

Professor, IEEE Senior Member, Quaid-i-Azam University, Pakistan.

Muazzam A. Khan Khattak received the Ph.D. degree in computer sciences as a sandwich program from IIUI and the University of Missouri–Kansas City, Kansas City, MO, USA, in 2011, and the Ph.D. degree from UMKC, in 2016. He joined the School of Electrical Engineering and Computer Science (SEECS), NUST University, Islamabad, as an Assistant Professor, in 2013, and later on promoted to the Associate Dean and a Tenured Associate Professor, in 2017. He has been with the School of Computer Science, University of Ulm, Germany, and the School of Computer and the Electrical Engineering, University of Missouri, Columbia, MO, USA, as a Research Fellow. He worked with the Networking and Multimedia Lab, UMKC, as a Research fellow. He is currently working as a Tenured Professor with the Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan.