Assoc. Prof. Ioannis Ivrissimtzis
Durham University, UK
Ioannis Ivrissimtzis is an Associate Professor at the Department of Computer Science at Durham University. His research has contributed to the areas of subdivision surfaces, surface reconstruction, and digital 3D watermarking and steganalysis. His recent research contributions include work in the area of applied machine learning, tackling problems such as wind turbine early fault diagnostics, blind source separation in GNSS time series, and face anti-spoofing.
Assoc. Prof. Md Baharul Islam
American University of Malta, Malta
Dr. Md Baharul Islam is an Associate Professor in Computer Science at the American University of Malta (AUM), Malta, and an Adjunct Professor of Computer Engineering at Bahcesehir University, Istanbul, Turkey. Before joining the AUM, he was a Postdoctoral Research Fellow at AI and Augmented Vision Lab of the Miller School of Medicine, University of Miami, United States. He had completed his Ph.D. in Computer Science from Multimedia University in Malaysia, and M.Sc. in Digital Media from Nanyang Technological University in Singapore. Dr. Islam has more than 15 years of working experience in teaching and cutting-edge research in image processing and computer vision area. His current research interests lie in 3D stereoscopic media processing, computer vision, and AR/VR-based vision rehabilitation. Dr. Islam secured several (four) gold medals from different international scientific and technological competitions and received (three) best paper awards from different international conferences, workshops, and symposiums. He received the IEEE SPS Research Excellence Award in 2018. He authored/co-authored more than 60 international peer-reviewed research papers, including journal articles, conference proceedings, books, and book chapters. Dr. Islam received TUBITAK 2232 Outstanding Researchers Award and Grant that support funds for up to 5 postgraduate students under his supervision. Dr. Islam is an active IEEE Senior Member since 2018.
Assoc. Prof. Janaka Rajapakse
Tainan National University of the Arts, Taiwan, China
Janaka Rajapakse is an Associate Professor at the Graduate Institute of Animation and Film Art, Tainan National University of the Arts, Taiwan. He is also a visiting scholar at the Department of Media Engineering, The Graduate School of Engineering, Tokyo Polytechnic University of Japan. He was an Assistant Professor in the CG Application Laboratory, Graduate School of Engineering, and special researcher in the Center for Hyper Media Research, Tokyo Polytechnic University, Japan. He received his B.Sc. degree in computer science from the University of Colombo, Sri Lanka. He won the Japanese Government Scholarship for his higher studies in Japan. He received his M.Sc. and Ph.D. degrees from the Japan Advanced Institute of Science and Technology in 2005 and 2008. His research interests include computer animations, virtual reality, augmented reality, haptic interfaces, artificial intelligence, motion capture techniques, computer graphics, 3D printing, interactive media, and Kansei engineering. Prof. Rajapakse is the author or co-author of over eighty academic publications. He is a member of the Society for Art and Science, Motion Capture Society (MCS), Association of AISIA NETWORK BEYOND DESIGN, ASIAGRAPH Association, IEEE, and SIG-Design Creativity.
Dr. Peixian Zhuang
Tsinghua University, China
Peixian Zhuang is currently the Postdoctoral Fellow with the Department of Automation, Tsinghua University, Beijing, China. He received the Ph.D. degree from Xiamen University, Xiamen, China, in 2016. From 2017 to 2020, he was a Lecturer and the Master Supervisor with Nanjing University of Information Science and Technology, Nanjing, China.
Dr. Zhuang was a winner of Outstanding Doctoral Dissertations of Fujian province in 2017. His research interests involve sparse representation, Bayesian modeling, deep learning, and calcium signal processing. He has published more than 30 research papers (IEEE TIP, IEEE ICIP, IEEE JOE, EAAI, etc.), with more than 600 times of Google citations and one paper of highly cited ESI. He served as the guest editor of Journal of Electronics and Information Technology in 2021, the session chair of IEEE International Conference on Signal and Image Processing in 2019, the top 25% reviewer of the Association for the Advancement of Artificial Intelligence (AAAI) in 2021, the invited speaker of International Conference on Optics and Image Processing in 2022, etc.
Asst. Prof. Arren Matthew Antioquia
De La Salle University, Philippines
Arren Matthew C. Antioquia received his Master of Science in Computer Science from both De La Salle University (DLSU) and the National Taiwan University of Science and Technology (NTUST), as part of the ladderized BS-MS program and the Dual Masters Program between DLSU and NTUST. He is an Assistant Professor at the Department of Software Technology of De La Salle University in the Philippines. His most recent major publication introduced a computationally efficient way of fusing features from different layers of convolutional neural networks, which resulted in a faster and more accurate general object detection performance compared to state-of-the-art techniques. His research interest includes applying deep learning techniques in computer vision applications, specifically in problems involving image classification and object detection.
Dr. Kangjian He
Yunnan University, China
Kangjian He received the Ph.D. degree from Yunnan University, Kunming, China, in 2019. He is currently a Post-Doctoral Research Fellow with the School of Information Science and Engineering, Yunnan University. He has authored and co-authored over 40 papers in refereed international journals and conferences, including IEEE Transactions on Multimedia (TMM), IEEE Transactions on Instrumentation and Measurement (TIM), IET Image Processing (IET-IPR), Elsevier Journal of Neurocomputing, SPIE Journal of Electronic Imaging (JEI), and he serves as a reviewer of many top-ranked journals and also serves as the technical committee member of multiple international conferences. His current research interests include multimodal image processing, neural network theory and applications.