About Me
I am a Ph.D student at Clemson University International Center for Automotive Research and my research focus is robotics/vehicle autonomy and controls.
Specifically, I study combined utilization of model-based and deep learning-based control techniques to improve vehicle behavior under unknowns. I do autonomy algorithm development, deployment and validation on real full-scale vehicles and robotic platforms utilizing ROS/ROS2. Through leadership roles in industry and research oriented projects, I have developed a solid understanding of systems level engineering, integration and architectures needed for real-world deployment.
My recent work on learning-augmented model predictive control has appeared at ICRA 2025 and ACC 2026. You can view my key projects on the Projects page. My condensed resume can be found here: Resume .
Key Skills & Experience
Fellowships and Awards
| Year | Award |
|---|---|
| 2024 | Best Paper Award, TRB Road User Measurement and Evaluation Committee, 103rd TRB Annual Meeting |
| 2023 | 2nd Place, Best Paper Award at IEEE IAVVC 2023 conference |
| 2021 | First prize for research poster in Centre for Connected Multimodal Mobility Annual Conference 2021 |
| 2020 | Received TATA Fellowship (100% tuition grant) to pursue MS Automotive Engg. at CU-ICAR |
| 2019 | Won Team Impact Award at Daimler for rapid and efficient development projects in CAE |
| 2016 | Overall 2nd place, Formula Bharat 2015 (national student competition) – winners in 7 categories |
| 2016 | National record for best acceleration timing of an FSAE race-car in 2015 |