Prof.Takashi Washio

Kansai University, Japan

Takashi Washio received the ME and PhD degrees in nuclear measurement and instrumentation control from Tohoku University, Miyagi, Japan, in 1985 and 1988, respectively. He is currently a full professor with the Department of Reasoning for Intelligence, The Institute of Scientific and Industrial Research, Osaka University, Ibaraki City, Osaka, Japan. His department with Osaka University focuses on basic studies of machine learning and data mining and is a leading research group in Japan. He was a visiting researcher with a Nuclear Reactor Laboratory, Massachusetts Institute of Technology) USA, from 1988 to 1990, a senior researcher with Mitsubishi Research Institute from 1990 to 1996, and an associate professor with Osaka University from 1996 to 2006. His research interests include machine learning principles for high dimensional big data in the basic study and machine learning techniques for scientific advanced sensing in the application study.

Distinguished Prof. Mark Warschauer
University of California, USA

h-index 104

Mark Warschauer is a Professor of Education at UC Irvine with an affiliated appointment in Informatics, Language Science, and Psychologyical Science, and director of the Digital Learning Lab. He is one of the most widely-cited scholars in the world on digital learning topics such as computer-assisted language learning, digital literacy, the digital divide, one-to-one laptop classrooms, and artificial intelligence in education. His team is currently focusing on the use of conversational agents to support children’s learning and on the teaching and learning of computer science for linguistically diverse students.
A first generation college student and former community organizer for the United Farm Workers union, Dr. Warschauer began his educational career as a Spanish bilingual math and ESL teacher in San Francisco public schools. He has previously taught and conducted research in Hawaii, Moscow, Prague, Egypt, China, Japan, Singapore, Mexico, and Brazil. He has served as founding editor of Language Learning & Technology journal and inaugural editor of AERA Open. A former Fulbright Scholar and US Title VII Bilingual Education Fellow, he is a Fellow of the American Education Research Association and a Member of the National Academy of Education.

Chair Prof. Yunhao Liu
Tsinghua University, China

ACM Fellow , IEEE Fellow

Yunhao Liu, ACM Fellow , IEEE Fellow, Chair Professor at Tsinghua University. He also served as the Dean of School of Software in Tsinghua, and the MSU Foundation Professor and the Chairperson of Department of Computer Science and Engineering in Michigan State University. Yunhao received his B.S. degree in the Department of Automation at Tsinghua University, and an M.A. degree at Beijing Foreign Studies University, China. He received an M.S. and a Ph.D. degree in Computer Science and Engineering at Michigan State University, USA. Yunhao received Hong Kong ICT Best Innovation and Research Award Grand Prize 2007, China Ministry of Education First Class Natural Science Award 2010, Second Class National Natural Science Award 2011, ACM Presidential Award 2013, CCF Wang Xuan Award 2022, CCF First Class Natural Science Award 2024, CIE First Class Natural Science Award 2024 as well as many best paper awards including ACM MobiCom 2014 best paper award, SIGCOMM 2021 Best Student Paper Award, and ACM SenSys 2023 Test of Time Award.

Title: Embodied AI: From Digital-follow-up to Digital-Leadoff

Abstract: We have passed the period of Digital-Follow-up, and now we are in Digital Twin, and trying to enter Digital-lead-off of Industrial Internet of Things. I will share lessons learned from our recent implementations of AIOT systems in oil refinery and glass factories in Middle East, United States, and China.

 

Chair Prof. Qing Li
Hong Kong Polytechnic University, China

IEEE Fellow

Qing Li is a Chair Professor and Head of the Department of Computing, the Hong Kong Polytechnic University. He received his B.Eng. from Hunan University (Changsha), and M.Sc. and Ph.D. degrees from the University of Southern California (Los Angeles), all in computer science. His research interests include multi-modal data management, conceptual data modeling, social media, Web services, and e-learning systems. He has authored/co-authored over 500 publications in these areas, with over 36700 citations and H-index of 78 (source: Google Scholars). He is actively involved in the research community and has served as an Editor-in-Chief of Computer & Education: X Realitty (CEXR) by Elsevier, an associate editor of IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Internet Technology (TOIT), Data Science and Engineering (DSE), and World Wide Web (WWW) Journal, in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He also sits/sat in the Steering Committees of DASFAA, ER, ACM RecSys, IEEE U-MEDIA, and ICWL. Prof. Li is a Fellow of IEEE, AAIA, and IET.

Distinguished Prof. Nirwan Ansari
New Jersey Institute of Technology (NJIT), US

IEEE Fellow

Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), holds a Ph.D. from Purdue University, an MSEE from the University of Michigan, and a BSEE (summa cum laude with a perfect GPA) from NJIT. He is a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the National Academy of Inventors (NAI).
He authored Green Mobile Networks: A Networking Perspective (Wiley-IEEE, 2017) with T. Han, and co-authored two other books. He has also (co-)authored over 700 technical publications, with more than half of them published in widely cited journals and magazines. He has served as a guest editor for numerous special issues on various emerging topics in communications and networking. Currently, he serves as the Editor-in-Chief of IEEE Wireless Communications and has been on the editorial/advisory board of over ten journals. His current research focuses on green communications and networking, edge computing, drone-assisted networking, and various aspects of broadband networks.
He was elected to serve on the IEEE Communications Society (ComSoc) Board of Governors as a member-at-large. He has served as the Director of ComSoc Educational Services Board, chaired various technical and steering committees within ComSoc, and has served on many committees such as the IEEE Fellow Committee. He has actively participated in organizing numerous IEEE International Conferences/Symposia/Workshops. Among his many recognitions are several excellence in teaching awards, multiple best paper awards, the NCE Excellence in Research Award, several ComSoc TC technical recognition awards, the NJ Inventors Hall of Fame Inventor of the Year Award, the Thomas Alva Edison Patent Award, the Purdue University Outstanding Electrical and Computer Engineering Award, the NCE 100 Medal, the NJIT Excellence in Research Prize and Medal, and designation as a COMSOC Distinguished Lecturer. He has also been granted more than 40 U.S. patents.
 

Prof. Laurence T. Yang
St. Francis Xavier University, Canada

IEEE Fellow

Laurence T. Yang got his BE in Computer Science and Technology and BSc in Applied Physics both from Tsinghua University, China and Ph.D in Computer Science from University of Victoria, Canada. He is the Academic Vice-President and Dean of School of Computer Science and Artificial Intelligence, Zhengzhou University, China. His research includes Cyber-Physical-Social Intelligence. He has published 400+ papers in the above area on top IEEE/ACM Transactions with total citations of 41163 and H-index of 100 including 8 and 41 papers as top 0.1% and top 1% highly cited ESI papers, respectively.
His recent honors and awards include the member of Academia Europaea, the Academy of Europe (2021), the John B. Stirling Medal (2021) from Engineering Institute of Canada, IEEE Sensor Council Technical Achievement Award (2020), IEEE Canada C. C. Gotlieb Computer Medal (2020), Clarivate Analytics (Web of Science Group) Highly Cited Researcher (2019, 2020, 2022, 2023), Fellow of Institution of Engineering and Technology (2020), Fellow of Institute of Electrical and Electronics Engineers (2020), Fellow of Engineering Institute of Canada (2019), Fellow of Canadian Academy of Engineering (2017), etc.

Prof. Bin Hu
Beijing Institute of Technology, China

IEEE Fellow, IET Fellow, AAIA Fellow

Bin Hu is a (Full) Professor and the Dean of the School of Medical Technology at Beijing Institute of Technology, China. He is a National Distinguished Expert, Chief Scientist of 973 as well as National Advanced Worker in 2020. He is a Fellow of IEEE/IET/AAIA and IET Fellow Assessor & Fellowship Advisor. He serves as the Editor-in-Chief for the IEEE Transactions on Computational Social Systems and an Associate Editor for IEEE Transactions on Affective Computing. He is one of Clarivate Highly Cited Researchers, World's Top 2% Scientists and 0.05% Highly Ranked Scholar from ScholarGPS.

Title: Computational Psychophysiology and Mental Health

Abstract: In recent years, mental health issues have become increasingly prominent worldwide. According to a report from the World Health Organization, approximately 970 million people suffer from mental disorders, accounting for 13% of the global population. Currently, the diagnosis of mental illnesses primarily relies on physician interviews and the Brief Psychiatric Rating Scale (BPRS), lacking objective and quantifiable diagnostic indicators. Additionally, the common treatment for mental disorders is pharmacotherapy, which is often associated with significant side effects. The rapid advancement of cutting-edge artificial intelligence and big data technologies offers new opportunities for the diagnosis and treatment of mental disorders. These technologies are transforming the approach to data-driven screening and treatment, providing more precise, personalized, and effective solutions. This report will introduce the opportunities and challenges in the field of medical electronics and computational methodologies for the diagnosis and treatment of mental disorders.

Prof.Shaoying Liu
Hiroshima Univesrity, Japan

IEEE Fellow, BCS Fellow, AAIA Fellow

Shaoying Liu is currently a Professor of Software Engineering at Hiroshima University, Japan. Previously, he was a Professor at Hosei University from April 2000 to March 2020. He received the Ph.D in Computer Science from the University of Manchester, U.K in 1992. His research interests include Formal Methods and Formal Engineering Methods for Software Development, Specification Verification and Validation, Specification-based Program Inspection, Automatic Specification-based Testing, Testing-Based Formal Verification, Human-Machine Pair Programming, and Intelligent Software Engineering Environments. He has published a book entitled "Formal Engineering for Industrial Software Development" with Springer Verlag, twelve edited conference proceedings, and over 200 academic papers in refereed journals and international conferences. He proposed to use the terminology of "Formal Engineering Methods" in 1997, and has established Formal Engineering Methods as a research area based on his extensive research on the SOFL (Structured Object-Oriented Formal Language) method since 1989, and the development of ICFEM conference series since 1997. In recent years, he has served as the General Chair of QRS 2020 and ICFEM 2017, Steering Committee Chair of ICECCS, and PC member for numerous international conferences. He is currently an Associate Editor for IEEE Transactions on Reliability and the Journal of Innovations in Systems and Software Engineering, respectively. He is IEEE Fellow, BCS Fellow, AAIA Fellow, and a member of IPSJ and IEICE.

Chair Prof. Yi Pan
Shenzhen University of Advanced Technology, China 

AIMBE Fellow, IET Fellow, h-index 102

Dr. Yi Pan is currently a Chair Professor and Dean of Faculty of Computer Science and Control Engineering at Shenzhen University of Advanced Technology, China and a Regents’ Professor Emeritus at Georgia State University, USA. He served as Chair of Computer Science Department at Georgia State University from 2005 to 2020. He has also served as an Interim Associate Dean and Chair of Biology Department during 2013-2017. Dr. Pan joined Georgia State University in 2000, was promoted to full professor in 2004, named a Distinguished University Professor in 2013 and designated a Regents' Professor (the highest recognition given to a faculty member by the University System of Georgia) in 2015. Dr. Yi Pan is Fellow of American Institute for Medical and Biological Engineering, Foreign Member of Russian Academy of Engineering, Foreign member of Ukrainian Academy of Engineering Science, Member of European Academy of Sciences and Arts, Distinguished Fellow of International Engineering and Technology Institute, Fellow of the Royal Society for Public Health, Fellow of the Institute of Engineering and Technology, and Fellow of the Japan Society for the Promotion of Science. Dr. Pan has published more than 450 papers including over 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. His work has been cited more than 28000 times based on Google Scholar and his current h-index is 102. Dr. Pan is currently serving as Editor-in-Chief of Big Data Mining and Analytics (a top 3% journal), Associate Editor-in-Chief of Journal of Computer Science and Technology (JCST), and Chinese Journal of Electronics (CJE). Dr. Pan has served as an editor-in-chief or editorial board member for 20 journals including 7 IEEE Transactions.