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.

Debao Zhou

Research field： Conformable Artificial Skin Sensors; Smart Materials; Vision System; Modeling and Simulation of Surgical Processes; Robotics; System Dynamics; Control and Quantum Cascade Laser System.

Professor, University of Minnesota Duluth, USA.

Dr. Debao Zhou is a professor in the Department of Mechanical and Industrial Engineering (MIE) at the University of Minnesota Duluth (UMD). He joined UMD as a tenure-track assistant professor in 2009 and promoted to associate professor in 2014 and full professor in 2018.  He earned his Ph.D. in Mechanical Engineering from Nanyang Technological University Singapore researching in bio-robotics. He proposed and developed the Master of Science in Mechanical Engineering (MSME) program in 2015 and was the Director of Graduate Study of this program from then to May 2019. Dr. Zhou teaches in the areas of signal processing, kinematics, control, robotics, machine vision and pattern recognition. He received 2013 SCSE Young Teacher Award. Leading the Intelligent Sensing and Design Lab, Dr. Zhou has received over half million dollars in funds as principal investigator (PI) or co-PI that are related to his teaching and research missions which includes the grants from international resources, the Miller-Dawn Foundation, and the MnDRIVE Initiative on Robotics, Sensors, and Advanced Manufacturing. His research has led to principal author and co-authoring of near 90 peer reviewed journal and conference publications, such as IEEE Sensors Journal, Smart Materials and Structures, Sensors and Actuators A: Physical, and IEEE Transactions on Nanotechnology.

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： AI-Driven Software Engineering; 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 14 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 180 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 ACM International Conferences. He is the associate editor of 2 international journals and the editorial board member of 3 international journals. He is the guest editor of 5 journal special issues, and 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.

Qiang Liu

Research field： Automobiles and Traffic Safety; Intelligent Connected Vehicles and Autonomous Driving; Automobile Lightweighting and Dual Carbon Impacts; Low-altitude Economic Safety.

Professor, Sun Yat-sen University, China.

Qiang Liu, who received his PhD from South China University of Technology in 2008, conducted research as a young backbone visiting scholar at Nagoya University in Japan in 2013 and a visiting scholar at the University of Sydney in 2015. He is currently a Professor and Deputy Dean for School of Intelligent Systems Engineering, Sun Yat-sen University, China. Selected as the world's highly cited Scholars in 2022 and the world's top 2% top scientists in 2023. He has published 94 academic papers, including 40 papers in JCR Q1 and 3 selected as ESI highly cited papers. He has authorized 14 invention patents, of which 3 have been successfully transformed. He has participated in the formulation of 3 municipal and industry standards, and the results have been well industrialized.

Dongning Liu

Research field： Collaborative Computing and Social Computing; Industrial Software; Systems Engineering.

Professor, Guangdong University of Technology, China.

He is an outstanding member of the China Computer Society, a standing member of the Collaborative Computing Committee, an executive member of the Internet of Things Committee, and an executive member of the Education Committee. His main research areas are collaborative computing and social computing, industrial software and system engineering. In 2013, he solved the linear time complexity problem of temporal queries proposed in 1973, and systematically provided proofs of reliability, completeness, determinism, equivalence, and time complexity (O(n)). At the end of 2015, he solved the many-to-many optimal assignment problem of the Hungarian algorithm (also known as the Kuhn-Munkres algorithm) proposed in 1955, and systematically provided mathematical proofs of the corresponding theorem, time complexity (cubic level), necessary and sufficient conditions, etc. of the relevant algorithms, which effectively improved the processing of similar problems by IBM ILOG CPLEX linear programming software and increased the speed by 10%-60%.

Xiangjie Kong

Research field： Big Date; Mobile Computing; Computational Social Science; Natural Language Processing.

Professor, IEEE Senior Member, Zhejiang University of Technology, China.

Dr. Xiangjie Kong is currently a Full Professor and Acacemic Associate Dean in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/ ). He is/was on the Editorial Boards of 6 International journals. He has served as the General Chair or Program Chair of more than 10 conferences. Dr. Kong has authored/co-authored over 200 scientific papers in international journals and conferences including IEEE TKDE, IJCAI, ACL, IEEE TMC, ACM CSUR, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, ACM TSON, ACM TSAS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 20 papers are ESI-Highly Cited Papers (Top 1%).  His research has been reported by https://www.natureindex.com/news-blog/senior-scholars-stick-together  and other medias. He has been invited as Reviewers for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 30 filed patents. He has an h-index of 51 and i10-index of 122, and a total of more than 8600 citations to his work according to Google Scholar. He is named in the 2019 - 2023 world’s top 2% of Scientists List published by Stanford University. He is named in the 2022-2024 Best Computer Science Scientists List published by Research.com. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, IEEE CSCWD 2024 Best Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at more thant 10 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide.  His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.

Weibin Wu

Research field： Research on the Application of Mechatronics Technology in Agriculture (Greenhouse Measurement and Control); Plug-in Hybrid Electric Vehicles (New Energy Vehicle Gearbox, Mechatronic Coupling System, Road Spectrum and Load Spectrum, Wire Control Braking).

Professor, South China Agricultural University, China.

He received his Ph.D. in Engineering from South China Agricultural University in 2007. He completed his postdoctoral research in 2009. In the same year, he taught at College of Engineering, South China Agricultural University, China. He has been Professor since 2014. He worked as a visiting scholar at Washington State University in 2015 and was selected as a doctoral supervisor in 2016. He has been granted 41 invention patents, 10 provincial and ministerial scientific research achievement awards, and has presided over or completed 20 scientific research projects at or above the provincial and ministerial levels. Published 120 papers, of which 108 were included in EI/SCI. The first inventor has been granted 41 invention patents.

Fan Jiang

Research field： Mechanical CAE/CFD; Equipment Innovation Design; Environmental Energy Equipment.

Professor, Guangzhou University, China.

Graduated from South China University of Technology with a Ph.D. in 2006. Till now, he is teaching and researching at Guangzhou University. Research interests mainly include mechanical innovation design, mechanical CAE/CFD, microfluidic design and multi-phase flow numerical optimization, energy saving and environmental protection equipment innovation. He has published more than 80 academic papers, authorized 20 patents, authored 5 books, undertaken more than 20 projects, and won 2 second prizes of Science and Technology Progress of Guangdong Province. Accepted and trained more than 20 master students.

Tuopu Na

Research field： Ultra-precision Motion System Drive and Control.

Associate Professor, Harbin Institute of Technology, China.

Tuopu Na, received the Ph.D. degree in electrical engineering and automation from Harbin Institute of Technology (HIT), Harbin, China, in 2020. His current research interests concentrate in EVs Power Electronics and Ultra Precision Motion Systems, particularly in EVs charger, planar motor driver and nonlinear control. He has coauthored more than 20 peer-reviewed technical papers and authorized 20 invention patents in China. He is an IEEE member, and member of China Instrument and Control Society and review expert of NSFC.

Mohamed-Slim Alouini

Research field： Design and Performance Analysis Of Diversity Combining Techniques; Mimo Techniques; Multi-Hop/Cooperative Communications Systems; Optical Wireless Communication Systems; Cognitive Radio Systems; Green Communication Systems and Networks.

Al-Khawarzmi Distinguished Professor, IEEE Fellow, King Abdullah University of Science & Technology, Saudi Arabia.

Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology  (Caltech) in 1998. He served as a faculty member at the University of Minnesota then in the Texas A&M University at Qatar before joining in 2009 the King Abdullah University of Science and Technology (KAUST) where he is now the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering. Prof. Alouini is a Fellow of the IEEE and OPTICA (Formerly the Optical Society of America (OSA)). He is currently particularly interested in addressing the technical challenges associated with the uneven distribution, access to, and use ofinformation and communication technologies in rural, low-income, disaster, and/or hard-to-reach areas.

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.

Prof. Muazzam A. Khan Khattak (Senior Member, IEEE) listed among top 2% scientists of the world. Currently he is serving as Director Science & Technology/ Director ICESCO Chair Big Data Analytics & EC, Quaid i Azam University, Islamabad, Pakistan. He received his Ph.D degree from IIUI and the postdoctoral degree from the University of Missouri (UMKC), USA, in 2011 and 2016 respectively. In 2013, he joined the NUST University, Islamabad Pakistan, as AP/Postgrad Head and was promoted to the Associate Dean Computing SEECS, in 2017. He has been with the School of Computer Science, University of Ulm, Germany, and the UMKC, as a Research Fellow. He has published more than 210 publications and book chapters with total citations of 5000 and 41 h-index. His research interests include Artificial Intelligence based solutions to address different research problems in Internet of Things, IoVs, IIoTs, Smart Cities, Information security, He is as also serving as adjunct faculty member at University of Missouri, USA, USAK University, Turkiye and Margullan University, Kazakhstan since 2016, 2023 respectively. He has been awarded with the best performance award by the Minister of education in 2023 at QAU and Performance best increment at NUST from 2015 to 2019. He is also a member of the International advisory board, USAK University, Turliye and senior member of Pakistan Academy of Sciences.