Keynote Speakers
RIVF 2026 is proud to feature distinguished keynote speakers who are internationally recognized for their contributions to computing, communication technologies, and interdisciplinary innovation. These thought leaders will share cutting-edge research, emerging trends, and insights into future challenges.
Professor Lihua Xie
Director, Centre for Advanced Robotics Technology Innovation (CARTIN); President's Chair in Control Engineering; Professor, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
Prof. Lihua Xie is a renowned researcher with significant contributions in the fields of Control Engineering, Robotics, and Autonomous Systems. His work focuses on developing control methods and intelligent systems capable of operating effectively in complex environments. His major research areas include Robust Control, Networked Control Systems, Multi-Agent Systems, Adaptive Control, and Unmanned Systems.
Through his research in control theory and robotic applications, Prof. Xie has contributed to the development of autonomous systems with enhanced coordination, adaptability, and reliability, bridging fundamental control research with practical applications in robotics, automation, and intelligent technologies. He is an IEEE Fellow and an IFAC Fellow.
At RIVF 2026, Prof. Xie will share his insights into emerging research trends, challenges, and opportunities in Robotics, Autonomous Systems, and Computing Technologies.
Keynote title: To be announced
Professor Wen-Huang Cheng
Distinguished Chair Professor, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
Prof. Wen-Huang Cheng is an internationally recognized researcher with extensive contributions to Artificial Intelligence, Computer Vision, Multimedia, and Machine Learning. His research focuses on developing AI-based methods and intelligent systems, particularly in Multimedia Analysis, Image and Video Understanding, and practical AI applications, bridging fundamental research with real-world applications.
Prof. Cheng is an IEEE Fellow, IET Fellow, Fellow of the British Computer Society (BCS), and ACM Distinguished Member. He has served as an Associate Editor and editorial board member for several international journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and IEEE Transactions on Multimedia (TMM), and has contributed to the organization of leading conferences in Artificial Intelligence, Computer Vision, and Multimedia.
At RIVF 2026, Prof. Cheng will share his insights into emerging research trends, challenges, and opportunities in Artificial Intelligence and Computing Technologies.
Keynote title: To be announced
Professor My T. Thai
UF Research Foundation Professor of Computer & Information Sciences & Engineering; Nelms Endowed Chair Professor; Associate Director, Nelms Institute for the Connected World, University of Florida, USA
Prof. My T. Thai has extensive expertise in trustworthy AI, billion-scale data mining, and optimization, especially for complex graph data, with applications to blockchain, social media, critical networking infrastructure, cybersecurity, and healthcare. Her research centres on the optimization and algorithmic mathematics underpinning billion-scale data mining, machine learning, and cybersecurity.
Prof. Thai is a Fellow of IEEE and of AAIA. Her honours include the NSF CAREER Award, the DTRA Young Investigator Award, a UF Research Foundation Professorship, and a 2023 AAAI Distinguished Paper Award.
She serves as Editor-in-Chief of ACM Computing Surveys and of the Journal of Combinatorial Optimization, as founding Editor-in-Chief of IET Blockchain, and as editor of the Springer Optimization and Its Applications book series.
Keynote title: To be announced