Yi Fang is an Associate Professor of Electrical and Computer Engineering at the NYU Abu Dhabi and NYU Tandon. He directs the NYU Multimedia and Visual Computing Lab. He received his Ph.D. degree from Purdue University, West Lafayette in 2011. Upon one year of industry experience in Siemens in Princeton, New Jersey and in Riverain Technologies in Dayton, Ohio, and a half-year academic experience as a senior staff scientist at Department of Electrical Engineering and Computer science, Vanderbilt University, Nashville, he joined New York University Abu Dhabi as an Assistant Professor of Electrical and Computer Engineering. Professor Fang’s research focuses on 3D Computer Vision and Machine Learning with applications to robotics and autonomous driving. He is currently working on the development of 3D deep learning technologies in large-scale visual computing, cross-domain and cross-modality models, and their various industrial applications. Professor Fang has published more than 50 papers in international journals and conferences including IEEE TPAMI, TIP, TC y bernetics, TNNLS, CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ACMMM, IROS, etc. Professor Fang has served as the publicity chair for the 27th ACM International Conference on Multimedia (ACMMM) in Nice, France. He has served as co-chair for the IROS 2019 session “Human-centered Robotics” and will serve as the program chair for the Asian Conference on Machine Learning (ACML 2021) and the area chair of the Conference on Computer Vision and Pattern Recognition (CVPR 2021, CVPR 2022) and International Conference on Computer Vision (ICCV 2021).