Prof. Benjamin W. Wah
The Chinese University of Hong Kong, Hong Kong
Fellow of the American Association for the Advancement of Science
Fellow of IEEE; Fellow of the Association for Computing Machinery

Biography: Wah was born in Hong Kong and graduated from Queen Elizabeth School, Hong Kong. He received his BS and MS in Electrical Engineering and Computer Science from Columbia University, USA, then furthered his studies at the University of California, Berkeley, obtaining an MS in Computer Science and a PhD in Databases.[1] Wah began his teaching career in Purdue University in 1979. He later joined the University of Illinois, Urbana-Champaign, in 1985, which he served until his retirement at the end of 2011. In 1985-2011, he was the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, USA. In 2008-2009, he also served as Director of the Advanced Digital Sciences Center in Singapore, a US$50 million research center established by the University of Illinois in Singapore in collaboration with the Singapore government's Agency for Science, Technology and Research. In 1998–1999, Wah was Chair Professor of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), and in that year received an Exemplary Teaching Award. From 1999 to 2003, he served as Adjunct Professor in the Department of Computer Science and Engineering at CUHK. Between 2009-2019, he served as Provost of the Chinese University of Hong Kong. Wah is an expert on non-linear programming, multimedia signal processing and artificial intelligence. He has published numerous research articles in top professional journals, such as Artificial Intelligence, IEEE Trans. in Computers, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Multimedia, IEEE Trans. on Parallel and Distributed Technology, IEEE Trans. on Software Engineering, Journal of Global Optimization, Journal of Artificial Intelligence Research. He is also the author of two books, and Editor-in-Chief of Wiley's Encyclopedia of Computer Science and Engineering (published in 2008), and has contributed to many edited books and book chapters. He has served on many journal editorial boards. He also holds many Endowed Professorships and Honorary Professorships in leading universities in the United States of America and in Asia. Professor Wah was elected President of IEEE Computer Society in 2001. He was a member of the Research Grants Council of Hong Kong between 2005 and 2009 and Chairman of its Engineering Panel between 2006 and 2009. He has been a member of the HK Research Grants Council since 2011. Professor Wah has received numerous honors and awards for his distinguished academic and professional achievements, including the Tsutomu Kanai Award, the W. Wallace McDowell Award, and the Richard E. Merwin Distinguished Service Award, all from the IEEE Computer Society, the Pan Wen Yuan Foundation Outstanding Research Award, and the IEEE Third Millennium Medal. In 2011, he received the Distinguished Alumni Award in computer science from the University of California, Berkeley. He has been elected: Fellow of the American Association for the Advancement of Science, Fellow of IEEE, Fellow of the Association for Computing Machinery.

Prof. Maria Pia Fanti (IEEE Fellow)
Polytechnic University of Bari, Italy

Biography: Maria Pia Fanti (IEEE Fellow and Fellow of the Asia-Pacific AIA) 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. Her research interests include modeling and control of complex systems, intelligent transportation systems, smart logistics; Petri nets; consensus protocols; fault detection. Prof. Fanti has published more than +310 papers and two textbooks on her research topics. She was senior editor of the IEEE Trans. on Automation Science and Engineering and member at large of the Board of Governors of the IEEE Systems, Man, and Cybernetics Society. Currently, she is Associate Editor of the IEEE Trans. on Systems, Man, and Cybernetics: Systems, 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 Systems, Man, and Cybernetics Conference.

Prof. Chun-Yi Su
Concordia University, Canada

Biography: Dr. Chun-Yi Su received his Ph.D. degrees in control engineering from South China University of Technology in 1990. After a seven-year stint at the University of Victoria, he joined the Concordia University in 1998, where he is currently a Professor of Mechanical and Industrial Engineering and holds the Concordia Research Chair in Control. His research covers control theory and its applications to various mechanical systems, with a focus on control of systems involving hysteresis nonlinearities. He is the author or co-author of over 500 publications, which have appeared in journals, as book chapters and in conference proceedings. He has been identified as 2019, 2020 and 2021 Highly Cited Researchers from Clarivate.

Dr. Su has served as Associate Editor for several journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Cybernetics, and several other journals. He is a Distinguished Lecturer of IEEE RA Society. He served for many conferences as an Organizing Committee Member, including the General Chairs and Program Chairs.

Prof. Chase Wu
Associate Chair, Dept of Computer Science
Director, Center for Big Data
New Jersey Institute of Technology, USA

Biography: Chase Wu is currently a Professor and the Associate Chair in the Department of Computer Science and the Director of the Center for Big Data at New Jersey Institute of Technology (NJIT). He joined NJIT in fall 2015 from the University of Memphis, where he is an Associate Professor in the Department of Computer Science. His research interests include big data, high-performance networking, parallel and distributed computing, sensor networks, scientific visualization, and cyber security. His research in networking develops fast and reliable data transfer solutions to help users in a wide spectrum of scientific domains move big data over long distances for collaborative data analytics. His research in computing develops high-performance workflow solutions to manage the execution of and optimize the performance of large-scale scientific workflows in heterogeneous computing environments. Dr. Wu's work has been supported by various funding agencies, including the National Science Foundation, the U.S. Department of Energy, the U.S. Department of Homeland Security, and Oak Ridge National Laboratory, where he is a research staff and works on a number of high-performance networking projects and big-data computational science projects. He has published over 250 research articles in highly reputed conference proceedings, journals, and books, and won best paper awards at many conferences.

Prof. Chuan QIN
University of Shanghai for Science and Technology, China

Biography: Chuan QIN received the Ph.D. degree in signal and information processing from Shanghai University (Advisor: Prof. Shuozhong Wang), Shanghai, China, in 2008. Since Dec. 2008, he has been with the faculty of the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, where he is currently a Full Professor. He was with Feng Chia University at Taiwan as a Postdoctoral Researcher (co-operate with Prof. Chin-Chen Chang, IEEE Fellow) from July 2010 to July 2012.

He has served as the Editorial Board Member for Signal Processing (Elsevier), JRTIP (Springer), and International Journal of Network Security. He has been the Associate Editor for JVCI (Elsevier) and EURASIP JIVP (Springer). He has been the technical reviewer for 30+ international journals, such as IEEE TIP, IEEE TIFS, IEEE TMM, IEEE TCSVT, IEEE SPL, Pattern Recognition, Information Sciences, and IET IP. He was the program co-chair of BDSIC 2020 and ICMSS 2019, the co-chair of the international workshop “Multimedia Content Security and Privacy Protection” for ICAIS 2019 and ICCCS 2018, and the co-chair of the invited session “Security and Privacy in Computer Forensics Applications” for IEEE IIHMSP 2014-2015. He served on the TPC of 30+ academic conferences, such as NCIG 2020, SICBS 2018, ICAIP 2017-2018, IWDCF 2015-2016, UBICOMM 2014-2015, ICS 2014, IUCC 2013, MINES 2010-2013, and FCST 2011-2012.

His research interests include image processing and multimedia security. He has published over 130 peer-reviewed papers in journals and conferences including IEEE TIP, IEEE TCSVT, IEEE MM, Information Sciences, Signal Processing and Pattern Recognition Letters. His current research works are supported by the NSFC. He won the Best Paper Award of CIHW 2016 and the Candidate of Excellent Paper Award of IEEE IIHMSP 2014. He is the member of technical committee on Image Forensics and Security for China Society of Image and Graphics.

Assist. Prof. Ruotian Liu
Polytechnic University of Bari, Italy

Biography: (Member, IEEE) He received the B.S. degree in automation from Xidian University, Xi'an, China, in 2015, and M.S. and the Ph.D. degrees in automation from Aix-Marseille University, Marseille, France, in 2018 and 2021, respectively. In 2022, he joined Polytechnic University of Bari, Italy, where he is currently an Assistant Professor with the Department of Electrical and Information Engineering. His research interests include control theory in discrete event systems and hybrid systems, diagnosability/opacity analysis, and networked security.

Assoc. Prof. Bala Murugan M S
Vellore Institute of Technology University, India

Biography: Dr. M. S. Bala Murugan is an accomplished researcher and academician in the fields of Internet of Things (IoT), Machine Learning and Deep Learning, Quantum Computing, and Embedded Systems. He currently serves as an Associate Professor in the School of Electronics Engineering at Vellore Institute of Technology (VIT), Chennai, where he is actively involved in Embedded Systems and Quantum Computing research groups. Dr. Bala Murugan obtained his Ph.D. in Electronics Engineering from VIT in 2020, following an M.Tech in Embedded Systems (2006) from SRM Institute of Science and Technology and a B.E. in Electronics and Communication Engineering (2002) from Madurai Kamaraj University. He has over 15 years of teaching experience and 3 years of industrial experience, contributing significantly to academia, research, and industry collaborations.