1. Developed NightHawk, a framework that combines active illumination with exposure control to optimize image quality in low-light environments
2. Introduced VISION, an end-to-end autonomous inspection pipeline for culvert inspection
3. Created PIXER, which quantifies pixel contributions to improve visual odometry accuracy
4. Proposed Empir3D, an evaluation framework for point cloud quality assessment
Research Experience
1. Active Illumination Control in Low-Light Environments using NightHawk
2. Language-in-the-Loop Culvert Inspection on the Erie Canal
3. Improving Visual Odometry with PIXER
4. Empir3D: Multi-Dimensional Point Cloud Quality Assessment
Education
Ph.D. student at the University at Buffalo, working with Dr. Karthik Dantu at DRONES Lab.
Background
A curious and innovative individual with a keen interest in perception for robotics. Research interests include active perception, learning, and field robotics.