---

Prof. Wen-Huang Cheng, University Distinguished Chair Professor
IEEE Fellow, IET Fellow, and ACM Distinguished Member

Department of Computer Science and Information Engineering, National Taiwan University

Bio: Wen-Huang Cheng is a University Distinguished Chair Professor in the Department of Computer Science and Information Engineering at National Taiwan University and a Visiting Professor at the Korea Advanced Institute of Science and Technology (KAIST). His current research interests include multimedia, computer vision, and machine learning. He has actively participated in international events and played significant leadership roles in prestigious journals, conferences, and professional organizations. These roles include serving as Editor-in-Chief for IEEE CTSoc News on Consumer Technology, Senior Editor for IEEE Consumer Electronics Magazine (CEM), Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and IEEE Transactions on Multimedia (TMM), General Chair for ACM MMAsia (2023), IEEE ICME (2022), and ACM ICMR (2021), Chair for IEEE CASS Multimedia Systems and Applications (MSA) technical committee, and governing board member for IAPR. He has received numerous research and service awards, including the Best Paper Award at the 2021 IEEE ICME and the Outstanding Associate Editor Award of IEEE TMM (2021 and 2020, twice). He is an IEEE Fellow, IET Fellow, and ACM Distinguished Member.

Talk Title: From AI to AI+: A New Era of Artificial Intelligence

Talk Abstract: This talk will delve into the latest advancements in the field of artificial intelligence (AI), particularly the breakthrough achievements of large vision model (LVM). LVMs have demonstrated unprecedented capabilities in understanding and generating natural language, images, and complex data. Additionally, we will focus on LVM based AI Agents, an emerging research area. The introduction of AI Agents signifies a new height in AI applications; they can autonomously learn, make decisions, and execute tasks, significantly enhancing the practicality and intelligence of systems. However, in practical applications, AI Agents also face numerous technical challenges, such as the hallucination problem of large models, which can lead to the generation of incorrect information. This presentation will summarize the latest research progress and application challenges of LVMs and AI Agents, helping technology practitioners and researchers better grasp and utilize these cutting-edge technologies, and explore the infinite possibilities of the new era of artificial intelligence.

Prof. Akinori Ito, Tohoku University, Japan

 

Prof. Hamadou Saliah-Hassane, TÉLUQ University, Canada

Professor Saliah-Hassane earned a PhD in Electrical and Computer Engineering from McGill University in Montreal, a Bachelor and Master of Applied Science degree from École Polytechnique de Montréal, Canada. He retired in 2024 as a full Professor from TELUQ University in Montreal where he taught Informatics and Computer Networks and Security. He is now an Associate Professor in several universities including University Abdou Moumouni in Niger and an Affiliate Professor at Florida Atlantic University in US. His research interests are on Intelligent Distributed Systems and Mobile Robotics.
Professor Saliah-Hassane has taught at University of Niamey, Republic of Niger (1985-1987) and was Head of Electrical Engineering Department of The Engineering School of Mines, Industry and Geology (EMIG) of the former Economic Community of West Africa in Niamey, Niger (1989-1991).
Professor Saliah-Hassane is the current Vice President Educational Activities of IEEE Education Society (2022-2024). He chaired the Montreal IEEE Education Society Chapter (2005-2022). He was the Past Chair of IEEE Education Society Standards Committee (2010 - 2021) and the Past Chair of the Working Group of the joint standardization activity on “Secure and Trusted Learning Systems” (2019 -2021) sponsored by IEEE Education Society, IEEE Industrial Electronics Society (IES) and IEEE Computer Society Learning Technology Standards Committee (CS/LTSC).
Professor Saliah-Hassane has received many awards in recognition of his accomplishments, including the 2024 Latin America and Caribbean Consortium (LACCEI) Academic Merit Medal and the IEEE Education Society’s EdWin C. Jones, Jr. Meritorious Service Award (2019). He was also recognized with highest academic distinction of “Commander of the Order of Academic Palm” by Republic of Niger, his home country. And aligned with his work on Distributed Embedded Systems, the IEEE Standards Association award with appreciation for chairing and contributing to the development of IEEE Standard 1876™ - 2019 on “Networked Smart Learning Objects for Online Laboratories” (2019), the IEEE SA 2019 Emerging Technology Awarded to IEEE SA 1876™ - 2019 Working Group.