Keynote Speaker
Prof. Adrian David Cheok
Nanjing University of Information Science and Technology, China
Imagineering Institute, Malaysia
H index: 45 (Scopus)
Biography:
Adrian David Cheok is a Full Professor at i-University, Tokyo, Japan, and Director of the Imagineering Institute, Malaysia. He is Founder and Director of the Mixed Reality Lab, Singapore. He was formerly a Full Professor at Keio University and Associate Professor at the National University of Singapore.
His research covers mixed reality, human-computer interfaces, wearable computers, ubiquitous computing, fuzzy systems, embedded systems, and power electronics. He has raised about $30 million in external funding and produced many journal papers, awards, keynote talks, international exhibitions, government demos, and worldwide media coverage.
He has been a keynote and invited speaker at many international conferences. His works “Human Pacman,” “Magic Land,” and “Metazoa Ludens” were selected by Wired as top world inventions. He has received numerous awards, including the Hitachi Fellowship, A-STAR Young Scientist of the Year, and Microsoft Research Award. He was named a Young Global Leader by the World Economic Forum and is a Fellow of the RSA. In 2017, he entered the h-Index elite list for Computer Science, representing the top 0.06% of computer scientists worldwide.
Prof. Umesh C. Pati
National Institute of Technology, India
H index: 22 (Scopus)
Biography:
Dr. Umesh C. Pati is a Full Professor in the Department of Electronics and Communication Engineering at NIT Rourkela, India. He received his B.Tech. from NIT Rourkela and his M.Tech. and Ph.D. from IIT Kharagpur.
His research interests include Image/Video Processing, Computer Vision, AI, IoT, Industrial Automation, and Instrumentation Systems. He has authored/edited two books and published over 100 articles in peer-reviewed journals and conferences. He has filed 2 Indian patents and is currently associated with an IMPRINT project on Intelligent Surveillance Data Retriever for Smart City Applications.
He has visited the USA, Italy, Austria, Singapore, and Mauritius for research collaboration and paper presentation, and was an academic visitor at San Diego State University, USA, and the University of Leoben, Austria. He is a Senior Member of IEEE, a Fellow of The Institution of Engineers (India), and a Fellow of The Institution of Electronics and Telecommunication Engineers (India). His biography was included in the 32nd edition of MARQUIS Who’s Who in the World 2015.
Assoc. Prof. Li Cheng
University of Alberta, Canada
H index: 45 (Scopus)
Biography:
Assoc. Prof. Li Cheng is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta. He also holds an adjunct position with ASTAR, Singapore, where he has led a group in Machine Learning for Bioimage Analysis at the Bioinformatics Institute. Prior to joining the University of Alberta in 2018, he worked at ASTAR, Singapore, TTI-Chicago, USA, and NICTA, Australia. He received his BSc in Computer Science from Jilin University in 1996, an M.Eng. from Nankai University in 1999, and a PhD in Computing Science from the University of Alberta in 2004. His research expertise is mainly in computer vision and machine learning. He is a member of IEEE, ACM, and AAAI. He has supervised or co-supervised many research students and postdocs, many of whom now hold scientist or engineer positions at major tech companies (Google, Nvidia, Bosch, OmniVision, etc.) or faculty positions at prestigious universities (e.g., Southeast University of China, China University of Geosciences, University of Adelaide of Australia).
University of Derby, UK
H index:16 (Scopus)
Biography:
Dmitry A. Zaitsev (University of Derby, UK) has developed methods for analyzing infinite Petri nets, decomposing Petri nets into clans, generalized neighborhoods for cellular automata, and synthesizing fuzzy logic functions. He designed the Opera-Topaz software system, the E6 networking protocol stack with its Linux kernel implementation, and Petri net analysis tools including Deborah, Adriana, and ParAd. He has also developed models of TCP, BGP, IOTP, Ethernet, IP, MPLS, PBB, and Bluetooth networks.
His current research interests include Petri net theory and its applications to networking, computing, automated manufacturing, and AI. More recently, he has worked on exascale computing, applying his theory of clans to accelerate sparse linear system solving on parallel and distributed architectures, and developing Sleptsov net computing.
He has been a visiting professor at TU Dortmund (DAAD), University of Tennessee Knoxville (Fulbright), Eindhoven University of Technology, XIDIAN University, Johannes Kepler University Linz, Université Côte d'Azur, and TU Darmstadt. He has published a monograph, six book chapters, and over one hundred research papers. He is a Senior Member of ACM and IEEE.
Dr. Xiaochun Cheng
Swansea University, United Kingdom
H index: 41 (Scopus)
Biography:
Xiaochun Cheng. IEEE Senior Member since 2004, received the BEng in Computer Engineering with First Class Degree, PhD in Computer Science with Distinction. He has been working in UK University. One project was funded with 16 million Euro. He has contributed for five times best conference paper awards so far. 7 his papers were in the top 1% of the academic field by Data from Essential Science Indicators, highly cited in Web of Science. He won 3 national competitions. He won a national award. He contributed to two computer solutions, which achieved national best results and were adopted nationally.
Invited Speaker
Asst. Prof. Sinan Chen
Kobe University, Japan
Biography:
Sinan Chen received his M.S. degree in System Informatics in 2019 and his Ph.D. degree in Computational Science in 2021, both from Kobe University, Japan. He was a JSPS Postdoctoral Research Fellow in 2022 and is currently a Specially Appointed Assistant Professor at the Center for Mathematical and Data Sciences, Kobe University, Japan. His research focuses on artificial intelligence, multimodal behavioral sensing, and digital health. In particular, he develops AI-based methods for human behavior analysis and digital biomarkers to support health monitoring, functional assessment, and personalized healthcare. His research also encompasses machine learning, smart healthcare systems, and human-centered AI.