Minh Hoai Nguyen

Minh Hoai Nguyen
Minh Hoai Nguyen
Assistant Professor

Department of Computer Science
Room 153
Stony Brook, NY 11794-2424

minhhoai [at] cs.stonybrook.edu


Computer Vision; Machine Learning; Human Activity Recognition; Semantic Video Analysis


Minh Hoai Nguyen received a PhD in Robotics from Carnegie Mellon University and a Bachelor of Engineering from the University of New South Wales. Before coming to Stony Brook, Minh Hoai was a post-doctoral research fellow with Andrew Zisserman at Oxford University. He was also a Kurti Junior Research Fellow at Brasenose College. 


Minh Hoai Nguyen's research interests are in computer vision, machine learning, and time series analysis. His recent research focuses on creating algorithms that recognize human actions, gestures, and expressions in video. Such successful algorithms will be widely useful, e.g., to improve video surveillance systems, to advance human-computer interaction, and to assist medical diagnosis of behavioral disorders. Minh Hoai Nguyen's research extends to three areas that support it: computer vision, time series analysis, and machine learning. His work studies video data, and computer vision addresses video representation and processing. Time series analysis studies how human actions, gestures, and expression can be modeled, which is the critical foundation to detect and recognize them. Machine learning is a core component of his research because visual interpretation algorithms are so complex that they need to be trained rather than hand-designed. 



- CVPR 2012 best student paper award - Winner of PASCAL VOC 2012 Challenge for Human Action Recognition

Teaching Summary

Video Analysis (CSE 594), Introductions to Robotics (CSE 525)