Ngan T.H. Le, PhD

Dr. Le is the director of Artificial Intelligence and Computer Vision lab and an Assistant Professor in the Department of Computer Science & Computer Engineering at University of Arkansas. She was a research associate in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2018-2019. She received the Ph.D degree in ECE at CMU in 2018, ECE Master degree at CMU in 2015, CS Master Degree at University of Science, Vietnam in 2009 and CS Bachelor degree at University of Science, Vietnam in 2005.

Her current research interests focus on Image Understanding, Video Understanding, Computer Vision, Robotics, Artificial Intelligence (Machine Learning, Deep Learning, Reinforcement Learning), Biomedical Imaging, SingleCell-RNA.

Dr. Le is currently a guest editor of Scene Understanding in Autonomous (Frontier) and Artificial intelligence in Biomedicine and Healthcare (MDPI). She co-organized the Deep Reinforcement Learning Tutorial for Medical Imaging at MICCAI 2018, Medical Image Learning with Less Labels and Imperfect Data workshop at MICCAI 2019, 2020, 2021, Visual Detection, Recognition and Prediction at Altitude and Range at ICCV 2021. Dr. Le is instructor lead of the Google Machine Learning Bootcamp 2021. Her publications appear in the top-tier conferences including CVPR, MICCAI, ICCV, SPIE, IJCV, ICIP etc, and premier journals including IJCV, JESA, TIP, PR, JDSP, TIFS, etc. She has co-authored 72+ journals, conference papers, and book chapters, 9+ patents and inventions. She has served as a reviewer for 10+ top-tier conferences and journals, including TPAMI, AAAI, CVPR, NIPS, ICCV, ECCV, MICCAI, TIP, PR, TAI, IVC, etc

CVPR 2019
Jun.16 to Jun.21, 2019 , Long Beach, US
NIPS 2018
Dec.3 to Dec.8, 2018, Montreal, Canada


MICCAI 2019 
Oct.13 to Oct.17, Shenzhen,China
ISBI 2019 
Apr.8 to Apr.11, Venve, Italy
ICCV 2019
Oct.27 to Nov.3, Seoul, Korea
ICML 2019
Jun.10 to Jun.15, Long Beach, US