Neel Pratik Bhatt

Neel conducts research in perception, predicition, and safe autonomous decision making for autonomous vehicles at MVS Lab. He is currently investigating methods to improve performance of real-time object trajectory prediction algorithms and interaction aware motion forecasting models for various non sign controlled urban driving settings.

During his time at University of Waterloo, Neel has also been leading efforts on the WATonoBus project working on software and algorithmic development of the perception and prediction modules required for the autonomous shuttle bus.

During his PhD program, Neel worked at General Motors R&D as a Software Engineering Intern and developed deep learning models for enhancing vehicle state estimation. Prior to this, he worked at Clearpath Robotics as an Applications Engineering Intern working with ROS and OpenCV for various vision based projects.

Prior to joining the direct PhD program at University of Waterloo, Neel received his BASc. in Mechanical Engineering with a minor in Robotics from University of Toronto. Neel worked as a research intern for two terms during his undergraduate studies.