Bio
Currently, Manav Isrrani is a graduate researcher in Computer Science and Applied Artificial Intelligence at the University of Ottawa. He previously completed his undergraduate studies in Computer Science at the same institution and graduated in 2024. His research focuses on artificial intelligence, computer vision, sensor fusion, and autonomous systems, with particular emphasis on multi-drone detection, tracking, and distributed sensing environments.
His current work investigates the integration of radar and camera sensors for robust multi-target tracking, data association, and state estimation in autonomous aerial systems. He is also interested in the application of machine learning and deep learning techniques to improve perception, situational awareness, and decision-making in complex environments.
Research Interests
His research interests lie at the intersection of artificial intelligence, computer vision, sensor fusion, and autonomous systems, with a specific focus on multi-agent aerial platforms and intelligent perception systems.
- Multi-Drone Detection and Tracking
- Multi-Sensor Fusion (Radar and Vision)
- Data Association and Target Tracking
- Autonomous Systems and UAVs
- Computer Vision
- Deep Learning and Machine Learning
- Distributed Sensor Networks
- Object Detection and Tracking
- Explainable and Trustworthy AI
- AI for Robotics and Autonomous Navigation