Khalil Virji
Papers
1
Total Citations
3
H-Index
1
About
Khalil Virji is a researcher at the forefront of applied computer vision and autonomous underwater robotics. His work tackles the formidable challenge of robustly tracking dynamic targets in open water—a domain complicated by six degrees of freedom, poor visibility, and unpredictable currents. Virji’s most notable contribution, the paper “Robust Scuba Diver Tracking and Recovery in Open Water Using YOLOv7, SORT, and Spiral Search” (2023), introduces a novel pipeline that integrates state-of-the-art object detection with efficient tracking and a spiral search recovery algorithm. This system demonstrates how deep learning can be adapted for real-time, real-world aquatic environments, offering a practical solution for autonomous diver following and search-and-rescue operations. While his citation count is still growing, the work’s immediate relevance to marine robotics and safety applications signals its potential for significant impact. Virji’s research bridges the gap between classical computer vision problems and the unique constraints of underwater settings, establishing him as an emerging voice in the field of autonomous systems for challenging environments.
Research Focus
Key Achievements
Top Papers
- 1