Dr. Ngan Le is currently an Assistant Professor in the Department of Computer Science & Computer Engineering at the University of Arkansas. She was a research associate with the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2018-2019. She received a Ph.D. in ECE at CMU in 2018, an ECE master's degree at CMU in 2015, a CS master's degree at the University of Science, Vietnam, in 2009 and a CS bachelor's degree at the University of Science, Vietnam, in 2005. Her current research interests focus on image understanding, video understanding, computer vision, robotics, machine learning, deep learning, reinforcement learning, biomedical imaging, and single-cell RNA. Her publications appear in top conferences including CVPR, MICCAI, ICCV, SPIE, IJCV, ICIP, etc., and premier journals including IJCV, JESA, TIP, PR, JDSP, TIFS, etc. She has co-authored 55+ journals, conference papers, and book chapters, and has 6+ patents and inventions. 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, and Precognition: Seeing through the Future at CVPR 2019. 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. She is currently a guest editor of Frontier and MDPI journals.