Yu-Chee Tseng received his Ph.D. in Computer and Information Science from the Ohio State University in January of 1994. He served as Chairman (2005-2009) and as Dean (2011-2017) for College of Computer Science, National Yang Ming Chiao Tung University (NYCU), Taiwan. He is founding Dean of College of AI, NYCU. Currently, he is Director of Pervasive AI Research Labs, NYCU. Dr. Tseng has been awarded as NYCU Chair Professor (2011-present) and Y. Z. Hsu Scientific Chair Professor (2012-2013). He received Outstanding Research Award (National Science Council, 2001, 2003, and 2009), Academic Award (Ministry of Education), Elite I. T. Award (2004), and Distinguished Alumnus Award (Ohio State University, 2005), Y. Z. Hsu Scientific Paper Award (2009), TWAS Prize (2018), and National Chair Professorship (2020-2023). His research interests include mobile computing, wireless communication, and AI. Dr. Tseng is an IEEE Fellow. He served on the editorial boards of IEEE Trans. on Vehicular Technology, IEEE Trans. on Mobile Computing, IEEE Trans. on Parallel and Distributed Systems, and IEEE Internet of Things Journal. His citation h-index is 68.

Title: Exploring Modalities in Machine Learning
Abstract:A multi-modal deep learning model can process and interpret multiple types of data, such as text, images, audio, and video. These models are significantly closer to human cognition capability when perceiving the world. Let A, B, and C be three modalities. They may interact with each other during model training. Recent researches have made success in several types of modality interactions: (1) alignment of modality A and modality B, denoted as A~B, (2) conversion from modality A to modality B, denoted as A→B, (3) merging a model of A and a model of B into a larger model C, denoted as AUB=C, (4) inject a new modality C into two existing modalities A and B, denoted as A+B→C, (5) transferring the calculus on modality A to modality B, denoted as A→(+, -, *, /)→B, (6) producing a secondary modality A’ from A, denoted as A→A’, and (7) stacking two modalities A and B, denoted as A//B. We will illustrate several examples for the above interaction types. Understanding these may help develop new researches.

Ai-Chun Pang (逄愛君) received B.S., M.S., and Ph.D. degrees in Computer Science and Information Engineering from National Chiao Tung University (now National Yang Ming Chiao Tung University), Taiwan, in 1996, 1998, and 2002, respectively. Dr. Pang is the Director and Distinguished Research Fellow of the Research Center of Information Technology Innovation, Academia Sinica. She is also the Distinguished Professor of the Department of Computer Science and Information Engineering at National Taiwan University. Her research interests include wireless and mobile networking, edge computing, and IoT. She is a Fellow of the IEEE.

Title: Toward 6G-Enabled Mobile Edge Intelligence
Abstract:With the explosive development of AI, edge intelligence has been considered a must in developing future 6G mobile communications systems to provide timely responses to emerging applications on mobile devices. In 6G, the computation-intensive AI tasks will be distributed at the network edge, and the communications paradigm will shift from conventional symbol transmission to semantic information delivery. This lecture will overview key features of 6G mobile networks and elaborate on distributed AI learning driven by edge intelligence. We will present the effects of limited labeled and non-IID data in the edge-intelligence environment. We will also discuss the vulnerability of the edge-intelligence framework and defense methods against privacy leakage and security threats. Finally, we will introduce the GenAI-based semantic encoder to prioritize task-oriented communication, with the concept of understanding before transmitting and delivering the intended meaning of messages, to achieve the goal of pervasive computing for connected intelligence.

Professor Mohammad S. Obaidat is an internationally known academic/researcher/scientist/ scholar. He received his Ph.D. degree in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, USA. He has received extensive research funding and published To Date (2023) over One Thousand and Two Hundred (1,200) refereed technical articles-About half of them are journal articles, over 100 books, and 70 Book Chapters. He is Editor-in-Chief of 3 scholarly journals and an editor of many other international journals. He is the founding Editor-in Chief of Wiley Security and Privacy Journal. Moreover, he is the founder or co-founder of 5 International Conferences. Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President and Chair of Board of Directors of the Society for Molding and Simulation International (SCS), Senior Vice President of SCS, SCS VP for Membership and SCS VP for Conferences, Dean of the College of Engineering at Prince Sultan University, Founding Dean of the College of Computing and Informatics at the University of Sharjah, Chair and tenured Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University, Chair and tenured Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University, Chair and Professor of Computer Science Department at University of Texas-Permian Basin, Distinguished Professor at Indian Institute of Technology (IIT)-Dhanbad.

Wei-Chao Chen is the Chief Digital Officer at Inventec Corporation and the Chairman at Skywatch Innovation. His research interests include graphics hardware, computational photography, augmented reality, and computer vision. Dr. Chen was the Chief AI Advisor at Inventec (2018-2020), an adjunct faculty at the National Taiwan University (2009-2018), a senior research scientist in Nokia Research Center at Palo Alto (2007-2009), and a 3D Graphics Architect in NVIDIA (2002-2006). Dr. Chen received his MS in Electrical Engineering from National Taiwan University (1996) and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2002).

Wei-Bin Lee is the CEO of the Information Security Center at HonHai Research Institute. He has previously served as the Commissioner of the Department of Information Technology for the Taipei City Government, Chief Digital Officer at Taipei Fubon Bank, and Director of the Innovation and Technology Office at Fubon Financial Holding. Additionally, he has served as Chairman of the Artificial Intelligence Foundation. He has also been a Professor in the Department of Information Engineering and Computer Science at Feng Chia University. Dr. Lee's expertise lies in network security, cryptography, digital watermarking, and information security management. With his extensive experience, he is poised to lead HonHai Research Institute in making significant contributions to both industry and society. Dr. Lee holds a Ph.D. in Computer Science and Information Engineering from National Chung Cheng University, Taiwan.