Prof. Chia-Wen Lin is currently a Professor with the Department of Electrical Engineering, National Tsing Hua University (NTHU), Taiwan. He also serves as Deputy Director of the AI Research Center and director of Multimedia Technology Research Center of NTHU. He was Visiting Professor with Nagoya University, Nagoya, Japan in 2019 and National Institute of Informatics, Tokyo, Japan in 2015. His research interests include image/video processing, computer vision, and machine learning.

Dr. Lin is an IEEE Fellow, and has been serving on IEEE Circuits and Systems Society (CASS) Fellow Evaluating Committee since 2021. He is also serving as IEEE CASS BoG Members-at-Large during 2022~2024. He was Steering Committee Chair of IEEE ICME (2020~2021), IEEE CASS Distinguished Lecturer (2018~2019), and President of the Chinese Image Processing and Pattern Recognition Association, Taiwan (2019~2020). He has served as Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Multimedia. He was Chair of the Multimedia Systems and Applications Technical Committee of the IEEE CASS. He served as TPC Chair of IEEE ICME in 2010 and IEEE ICIP in 2019, and the Conference Chair of IEEE VCIP in 2018. His papers won the Best Paper Award of IEEE VCIP 2015, and the Young Investigator Award of VCIP 2005.

Talk title: Making the Invisible Visible: Towards High-Quality Physics-Guided THz Computational Imaging

Abstract: Terahertz (THz) computational imaging has recently attracted significant attention thanks to its non-invasive, non-destructive, non-ionizing, material-classification, and ultra-fast nature for 3D object exploration and inspection. However, its strong water absorption nature and low noise tolerance lead to undesired blurs and degradations of reconstructed THz images. The performances of existing methods are highly constrained by the diffraction-limited THz signals. In this talk, we will introduce the characteristics of THz imaging and its applications. We will also show how to break the limitations of THz imaging with the aid of rich spectral amplitude and phase information carried in prominent THz frequencies (i.e., the water absorption profile of THz signal) for THz image restoration. To this end, we propose a novel physics-guided deep neural network model, namely Subspace-Attention-guided Restoration Network (SARNet), that fuses such multi-spectral features of THz images for effective restoration. Furthermore, we experimentally construct a THz time-domain spectroscopy system covering a broad frequency range from 0.1 THz to 4 THz for building up THz CT database of hidden 3D objects.

Dr. Risman Adnan Received the B.Sc. degree in theoretical physic, the M.Sc. degree, and the Ph.D. degree in computer science from Universitas Indonesia in 1998, 2000, and 2021, respectively. From 1995 to 2000, he was a Researcher Assistant with the Amorphous Semiconductor Laboratory, Department of Physics, Universitas Indonesia. After getting his master's degree, he worked as a Lead Software Engineer at several IT companies. Starting in 2004, he spent ten years as The Director of the Developer Ecosystem at Microsoft Indonesia. He worked at Samsung Research and Development Indonesia (SRIN), as the Director of the Software Development Group to incubate and nurture AI, IoT, and Cloud technology competencies, until the end of 2022. In 2023, he joined Kalbe ad Director to incubate innovation capabilities in Software and Digital Biology. His research interest include theoretical physics, machine learning, robotics and quantum computing.

Professor Dr.-Ing. Eko Supriyanto is the Director of IJN-UTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia. He obtained his PhD in electronics engineering from University of Federal Armed Forces Germany, Hamburg. He worked as an academic staff at this university and a product development manager in a private company in Duesseldorf, Germany, before moved to Malaysia. He is a visiting professor at Ilmenau University of Technology, Germany and guest professor at Department of Radiology, Padjajaran University, Indonesia. His involvement in the computer application in medicine has been started since 1996 for the dialysis machine safety monitoring system. He has 15 patents in the area of biomedical and computer based products. He also obtained more than 24 awards for his achievement from international institutions. He has more than 120 publications in international journals and proceeding and author of few international books. He has been also active in WSEAS conferences since 2009 as an invited speaker, speaker for more than 36 papers and session chairman.