Dr. Addison, Lin Wang is currently a Tenure-track Assistant Professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He is leading the Bio-inspired AI and Robotics (BioRAI) Research Group (Lab) at NTU, closely tied with the Centre for Advanced Robotics Technology Innovation (CARTIN) and Internet of Things (IoT) Center at School of EEE. He had been a faculty member with the Artificial Intelligence Thrust and the Department of Computer Science and Engineering of HKUST’s Guangzhou and Clear Water Bay campuses from 2021.12-2024.10. He was a visiting researcher at the Dept. of Electrical and Electronic Engineering, Imperial College London (ICL), UK from 2020-2021. He earned the Ph.D. Degree in AI and robotics (with highest Ph.D. research award) in 2021 and M.S. degree in CAD/CAM and VR/AR for engineering design and manufacturing in 2017 from Korea Advanced Institute of Science and Technology (KAIST), Korea. Dr. Wang has extensive cross-disciplinary research experience with substantial publications and patents that cover artificial intelligence, computer science, industrial and mechanical automation. His research interests include bio-inspired sensing and perception, event-based vision, novel sensor-based learning; sensor fusion, neuromorphic multi-modal AI, spatial intelligence, embodied robotic systems, machine learning, human-AI interaction, etc. He received several awards and honors, including the Best Paper Award from IEEE VR conference, CVPR Oral/Highlight Paper, Tencent Excellent Patent Project Award, KAIST Highest Ph.D Research Award, etc. He has been serving as the session chair and program committee member for top-tier conferences and journals, such as CVPR/ICCV/ECCV, ICRA/IROS, IEEE TPAMI, IEEE RAL, IEEE T-ITS, IEEE VR, IEEE TNNLS. He has also been serving as the Technical Committee Member for the IEEE Robotics and Automation Society (RAS) on Robot Vision. He also serves as the Associate Editor (to be appointed) for the IEEE Transactions on Artificial Intelligence (IEEE TAI).