Speakers

Prof. Md. Asri bin Ngadi

Universiti Teknologi Malaysia, Malaysia

Biography:

Md. Asri Bin Ngadi received the Ph.D. degree in computer science from Aston University, Birmingham, U.K., in 2005. He had spent more than a decade with leading technology firms and universities as a Process Analyst, a Senior Systems Analyst, a Project Manager, and a Lecturer. He had participated in and managed several communication and security software technologies development projects. He is currently a Professor and the Chair of the Computer and Telecommunication Engineering Department, Universiti Teknologi Malaysia (UTM), Malaysia. His contributions include publishing several academic books and in the development of programs to enhance minority involvement in bridging the ICT digital gap. He has published more than 90 articles in reputable journals and conference proceeding. His areas of research specialization include system survivability and security, autonomic computing and self-healing and regenerating systems, and network modeling.

Prof. Weinan Gao

Northeastern University, China

Biography:

Weinan Gao received the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA. He is a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. Prof. Gao is the recipient of the best paper award in IEEE Data Driven Control and Learning Systems (DDCLS) Conference in 2023, IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018 and the David Goodman Research Award at New York University in 2019. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Neurocomputing and IEEE Transactions on Circuits and Systems II: Express Briefs, a member of Editorial Board of Neural Computing and Applications, and a Technical Committee member in IEEE Control Systems Society on Nonlinear Systems and Control, IFAC TC 1.2 Adaptive and Learning Systems, and CAAI Industrial Artificial Intelligence.