Ngan Le Source Confirmed

OverviewAI-generated summary

Ngan Le's research focuses on developing trustworthy, robust, and efficient multimodal frameworks for video analytics, particularly addressing challenges posed by imperfect data such as limited labels, noise, bias, and unseen data, as well as real-time applications on edge devices. She has secured significant federal funding for this work, including a $499,556 NSF CAREER award as Principal Investigator for research on trustworthy, robust, and efficient multimodal frameworks for video analytics. Her expertise spans various data modalities including image, video, point cloud, volumetric data, time series, and remote sensing data, with applications in image processing, scene understanding, multiple object tracking, behavior analysis, medical image analysis, and 3D reconstruction.

In addition to her work on video analytics, Dr. Le is also involved in projects aimed at empowering regional food systems through data-driven approaches. She serves as a Co-PI on two NSF Convergence Accelerator grants totaling over $5.7 million. These projects focus on cultivating IQ for regional food systems and utilizing data-driven agriculture to connect small farms to regional food supply chains. Her academic background includes a Ph.D. and Master's degrees in Electrical & Computer Engineering from Carnegie Mellon University, and she leads the Artificial Intelligence & Computer Vision (AICV) Lab at the University of Arkansas.

Metrics

• h-index: 13
• Publications: 36
• Citations: 381