- Application of TV-POMDP to GUAM accepted @ AIAA-SIAM 2024 also presented at ULI 2024
- Texture guided PANet accepted @ Neurocomputing
- Paper accepted @ IGARSS 2023
Awards:
- Best Paper Award @ IEEE GRSS 2023
- Young Author Award by IFAC
- Department Fellowship
- Travel grant for ICRA 2024
- Cleared PhD Qualifying Exam
Research Experience
Conducting PhD research at LEADCAT lab
Research Scientist Intern at Adobe Research (Summer 2025)
Education
PhD: Robotics (CSL+AE), University of Illinois Urbana-Champaign, Advisor: Prof. Melkior Ornik
B.Tech (Hons): ECE + Mathematics, Manipal Institute of Technology
Background
Research Interests: Learning to plan, autonomous system decision making, machine learning (Reinforcement Learning, Diffusion Models, Vision-Language Action Models, Robot Vision, etc.)
Professional Field: Robotics, Computer Science and Engineering
Introduction: A PhD student at UIUC, dedicated to developing algorithmic and probabilistic techniques that enable autonomous systems to plan farther and faster, and learn abstractions and heuristics that accelerate long-horizon decision making. Recently, he has started to extend his work towards the 'planning to learn' paradigm, enabling autonomous systems to actively choose the data and practice routines that will most improve their planners.
Miscellany
Personal Interests: Books, chess, video games, Go, cricket
Other: Loves Linux terminals, has been using Vim/Neovim for 10 years, passionate about open-source software contributions