Published papers include 'Modeling Drivers’ Situational Awareness from Eye Gaze for Driving Assistance' (CoRL 2024) and 'An Interactive Protocol to Measure a Driver’s Situational Awareness' (VAM-HRI). The first paper proposes a novel interactive labeling protocol for collecting dense, continuous SA labels and trains an SA model from this data. The second introduces an efficient VR-based interactive protocol designed to capture a driver's ground-truth situational awareness in real time.
Research Experience
As part of his Master's thesis at CMU, he developed a method for real-time driver's Situational Awareness (SA) estimation using their eye-gaze. During his internship at Amazon India, he worked on semantic text similarity using Bert based siamese networks. He has also worked under the supervision of Dr. Manish Gupta on Knowledge aware video question answering.
Education
He is currently a PhD student at the Robotics Institute at Carnegie Mellon University, advised by Prof. Henny Admoni. Previously, he was an MSR student at the same institute, co-advised by Prof. Henny Admoni and Prof. David Held. Before that, he worked as a PreDoc Apprentice at TCS Research under Ms. Ramya Hebbalaguppe and Dr. Rahul Narain. For his undergraduate studies, he majored in computer science at IIIT Hyderabad, where he worked as a research assistant at CVIT under the guidance of Prof. S Ravi Kiran.
Background
His research interests revolve around Human Robot Interaction, Shared Control for Robotics, Learning for Robotics and Assitive and Autonomous driving. He also has a keen interest in Computer Vision, 3D Computer Vision, Multimodal Learning and NLP.