Keynote Speakers

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Keynote Speakers

Prof. Shyi-Ming Chen (IEEE Fellow, IET Fellow, IFSA Fellow, AAIS Fellow, IETI Distinguished Fellow)
Member of the National Academy of Artificial Intelligence (NAAI),
Fellow of the Pakistan Academy of Engineering (PAE),
Asia University, Taiwan
 

Biography: Shyi-Ming Chen is a Chair Professor in the Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan. He received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is an IEEE Fellow, an IET Fellow, an IFSA Fellow, an AAIS Fellow, an IETI Distinguished Fellow, a Member of the National Academy of Artificial Intelligence (NAAI), and a Fellow of the Pakistan Academy of Engineering (PAE). He was a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. He was the Vice President of the National Taichung University of Education, Taichung, Taiwan. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI). He was the President of the Taiwanese Association for Consumer Electronics (TACE). He has published more than 600 papers in referred journals, conference proceedings and book chapters. His research interests include Fuzzy Systems, Intelligent Systems, Fuzzy Decision Making, Computational Intelligence, Knowledge-Based Systems, Machine Learning, Deep Learning, Data Mining, Big Data Analysis, Genetic Algorithms, and Particle Swam Optimization Techniques.
He is an Associate Editor of IEEE Transactions on Fuzzy Systems, an Associate Editor of IEEE Transactions on Cybernetics (2019-2024), an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, an Associate Editor of IEEE Transactions on Artificial Intelligence, an Associate Editor of Knowledge-Based Systems, an Associate Editor of Expert Systems with Applications, an Associate Editor of Information Fusion, an Associate Editor of International Journal on Artificial Intelligence Tools, an Associate Editor of International Journal of Pattern Recognition and Artificial Intelligence, an Associate Editor of International Journal of Fuzzy Systems (2003-2024), an Associate Editor of Journal of Information Science and Engineering, an Associate Editor of Fuzzy Optimization and Decision Making (2016-2024), an Associate Editor of Knowledge and Information Systems (2016-2025), an Editor of International Journal of Intelligent Systems, an Editor of Engineering Applications of Artificial Intelligence (2022-2025), an Editor of Applied Computational Intelligence and Soft Computing, and an Associate Editor of International Journal of Computational Intelligence and Applications.

Prof. Hiroki Matsutani
Keio University, Japan

Biography: Hiroki Matsutani received the BA, ME, and PhD degrees from Keio University, Yokohama, Japan, in 2004, 2006, and 2008, respectively. He is currently a Professor in the Department of Information and Computer Science at Keio University. His research interests include computer architecture, interconnection networks, hardware accelerators, and machine learning algorithms.

Speech Title: On-Device Learning for Edge AI: From Algorithms to Practical Applications

Speech Abstract: We are working on on-device learning technologies that enable AI models to train and adapt directly on edge devices with limited computational resources. This approach to on-device learning is highly effective when there is a discrepancy between the training data available beforehand and the data actually collected in the field. It is characterized by its ability to update models on-site to adapt to environmental changes and individual differences. In recent years, AI chips equipped with on-device learning capabilities have emerged, and their commercialization and mass production are steadily progressing. In this presentation, we will introduce on-device learning, covering everything from its underlying algorithms to its practical applications.

 

Prof. Zheng Yan (IEEE Fellow, IET Fellow, AAIA Fellow, and AIIA Fellow)
Xidian University, China

Biography: Dr. Zheng Yan is currently a Huashan distinguished professor at the Xidian University, China. She is a Fellow of IEEE, IET, AAIA, and AIIA. She received the B. Eng in electrical engineering and M. Eng in computer science and engineering from Xi’an Jiaotong University in 1994 and 1997. She received a second M. Eng in information security from National University of Singapore in 2000. She earned the Licentiate of Science and the Doctor of Science in Technology in electrical engineering from Helsinki University of Technology in 2005 and 2007. She joined the Nokia Research Center, Helsinki in 2000, working as a senior researcher until 2011. She worked as a visiting professor and a Finnish Academy Fellow at the Aalto University, Finland for over seven years.

Her research interests are in cyber trust, security, privacy, and data analytics. She has led 30+ projects, sponsored by EU, Academy of Finland, NSFC, MOST, telecom industry, etc. At the helm of a research team with 60+ members, she has supervised 160+ post-doctoral researchers and graduates. She has authored 400+ publications, with 270+ first and corresponding authorships, featured prominently in top-tier venues. Thirteen of them are top 0.1% or 1% highly-cited ESI papers. She is the sole author of two books on trust management, utilized in teaching for a decade. 150 patents (including 82 independent international inventions) invented by her have been adopted by industry, a few of them have been incorporated into international standards and widely used in practice with billions of users. She has delivered 30+ invited keynote speeches and talks at international conferences and world-leading companies. Her Google Scholar citation is over 16,000 with an H-index of 66,

Zheng served and is serving as an EiC/area/associate/guest editor for 60+ reputable journals, e.g., executive EiC of Information Sciences, associate editor of ACM Computing Surveys, area editor of Information Fusion. She is a steering committee member of several conferences, a general/program chair for 40+ international conferences. She is a founding steering committee co-chair of IEEE International Conference on Blockchain, which becomes a leading venue in the field.

Dr. Yan is recognized as a Stanford World Top 2% Scientist since 2019 and an Elsevier Highly Cited Chinese Researcher since 2020. She has earned many accolades, including Distinguished Inventor of Nokia for significant technology contributions, N²Women Star in Computer Networking and Communications, IEEE TCSC Award for Excellence in Scalable Computing, IEEE TEMS Distinguished Leadership Award, ELEC Impact Award for patent contributions to Finnish society, the Best Journal Paper Award issued by IEEE ComSoc and several other Best Paper awards, 18 times other IEEE Distinguished/Outstanding Leadership/Service awards, three EU awards, Excellent PhD Dissertation Supervisor Award of Chinese Society of Electronic Education, Shaanxi Nature Science Prize, etc. Her students have been rewarded more than 50 national or international awards. Her excellence has been covered by the media on numerous occasions.