Dr. Ngan LeAssistant Professor
Areas of expertise
- Image Understanding
- Video Understanding
- Computer Vision
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Biomedical Imaging
- Genomics
Education
- PhD, Computer Science and Computer Engineering, Carnegie Mellon University
- MEng, Electrical and Computer Engineering, Carnegie Mellon University
- MS, Computer Science, HCMC University of Science
- BS, Computer Science, HCMC University of Science
Dr. Ngan Le is an Assistant Professor in the Department of Computer Science & Computer Engineering at the University of Arkansas and the Director of the AICV Lab, with over 100 publications and 9 patents in multimodal AI research.
A nationally funded multimodal AI research leader (over $5M in competitive awards from DOT, NSF, and NIH), specializing in robust, efficient, and trustworthy AI systems, with recognized leadership roles at top-tier AI venues including CVPR, ICCV, AAAI, and NeurIPS. She leads the translation of research into practice by guiding product roadmap, usability, and system reliability from early research through real-world deployment.
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 51+ journals, conference papers, and book chapters, 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, 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