Bio
Junzo Watada (Life Senior Member, IEEE) was born in 1945. He received B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University (now Osaka Metropolitan University), Osaka, Japan, and his Ph.D. degree from Osaka Prefecture University (now Osaka Metropolitan University), Sakai, Japan, in 1983. Until March 2016, when he retired, he was a Professor in management engineering, knowledge engineering, and soft computing with the Graduate School of Information, Production, and Systems, Waseda University, Kitakyushu, Japan. He is currently a Professor Emeritus of Waseda University, and has been since 2016. He has also been a Full Professor with the Department of Computer and Information Sciences, Universiti Teknologi Petronas, Malaysia, since 2016. His research interests include deep learning, image processing, big data analytics, and soft computing. He is a Life Fellow of the Japan Society for Fuzzy Theory and Intelligent Informatics and the Bio-Medical Fuzzy System Association. He has also been the President of the Forum of Interdisciplinary Mathematics, based in India, since 2019, and of the International Society of Management Engineers since 2003.

Talk
Generative Adversarial Networks

Bio
Arunava Roy received his Ph.D. degree from the Department of Applied Mathematics, Indian School of Mines, Dhanbad. He is currently a Research Assistant Professor with The University of Memphis, TN, USA. Previously, he was a Researcher in the Department of Computer Science at Universiti Teknologi Petronas, Malaysia, and in the Department of Industrial and Systems Engineering at the National University of Singapore, Singapore. Prior to this, he was a Post-doctoral Fellow in the Department of Computer Science at The University of Memphis. His research interests include web software reliability, cyber security, algorithm design and analysis, data structure, and statistical and mathematical modeling.

Talk
Reinforcement Learning in Computer Vision: Innovations and Future Directions

Bio
Usman Ahmad Usmani was born in Aligarh, India, in April 1993. He is currently pursuing his Ph.D. degree in computer science at Univeriti Teknologi Petronas, Malaysia. He worked as a Research Assistant with IIT Kanpur and as a Researcher at Massey University, New Zealand. He has built up a social network named Zamber that has been published in around 14 national newspapers. His research interests include artificial intelligence, computer vision, computer security, wearable sensors, and cloud computing.

Talk
Overview of Meta-Heuristic Approach for Optimization of Deep Learning Neural Network

Bio
Pradeep S. Naulia received his master’s degree in finance with a specialization in quantitative finance. He is currently pursuing his Ph.D. degree at the Universiti Teknologi Petronas. He has been researching deep learning optimization using metaheuristic and fuzzy methods. In the industry, he has more than 15 years of experience as a data science leader in international arenas such as the USA, China, Malaysia, and Singapore. His research interests include video analytics using deep learning and algorithm design and analysis.