Yi Fang

Yi Fang enriches the academic discourse on Electrical and Computer Engineering at New York University, where he serves as an Associate Professor. With a Ph.D. from Purdue University, obtained in 2011, Professor Fang has established himself as a leading figure in the fields of 3D Computer Vision and Machine Learning. His research is particularly focused on the practical applications of these technologies in robotics and autonomous driving, areas that are rapidly transforming industries and societies. Professor Fang's work is characterized by its innovative approach to solving complex problems in 3D Deep Learning and 3D Meta-Learning. His contributions have been recognized in various prestigious conferences, where he has taken on significant roles such as publicity chair, co-chair, program chair, and area chair. These conferences include the ACM International Conference on Multimedia, IROS, the Asian Conference on Machine Learning, and the Conference on Computer Vision and Pattern Recognition. In addition to his research, Professor Fang is deeply committed to mentoring the next generation of engineers and researchers. His teaching philosophy emphasizes the integration of theoretical knowledge with practical application, preparing students to tackle real-world challenges in computer vision and machine learning. His courses are known for their rigorous content and the encouragement of critical thinking and innovation. Professor Fang's work has not only advanced academic understanding but has also had a tangible impact on the development of technologies that enhance human capabilities and improve safety in autonomous systems. His ongoing projects continue to push the boundaries of what is possible in 3D computer vision, contributing to the broader field of artificial intelligence. Through his dedication to research and education, Yi Fang remains a pivotal figure in the academic community, inspiring both his peers and students alike. His contributions are paving the way for future advancements in technology, ensuring that NYU remains at the forefront of innovation in electrical and computer engineering.