Contributor
Biography
Dr. Le is the director of the Artificial Intelligence and Computer Vision Lab and an Assistant Professor in the Department of Computer Science & Computer Engineering at the 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 a Ph.D degree in ECE at CMU in 2018, ECE Master degree at CMU in 2015, CS Master Degree at the University of Science, Vietnam in 2009 and CS Bachelor degree at the 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 an Associate Editor of Elsevier Machine Learning with Applications, a Guest Editor of Scene Understanding in Autonomous (Frontier, a Guest Editor of Artificial intelligence in Biomedicine and Healthcare (MDPI), and a Program Chair of Asilomar 2022, AreaChair of ACCV 2024, IJCAI 2025, ICRA 2025, Technical Chair of MICAD 2021 - 2025.
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 2022. Women in MICCAI 2020 - 2023, Women in Computer Vision ACCV 2024, LAMM Robust, Trustworthy and Cost-Optimized Learning Across Multiple Modalities, ACCV 2024. 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 75+ 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
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 2022. Women in MICCAI 2020 - 2023, Women in Computer Vision ACCV 2024, LAMM Robust, Trustworthy and Cost-Optimized Learning Across Multiple Modalities, ACCV 2024. 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 75+ 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
Presentations
Key Event
Technical Papers
