cv
Basics
| Name | Manav Vora |
| mkvora2@illinois.edu | |
| Url | https://manavvora.github.io/ |
| Summary | Ph.D. Candidate in Aerospace Engineering at the University of Illinois at Urbana-Champaign. |
Work
-
2022.08 - Present Research Assistant
University of Illinois Urbana Champaign
I am a researcher in the field of optimal planning and decision-making in stochastic and constrained environments. My current research focuses on developing efficient and scalable algorithms for massive multi-agent systems and robotics.
Education
-
2022.08 - Present Champaign, Illinois, USA
PhD
University of Illinois Urbana Champaign (UIUC)
Robotics
- Deep Generative Models
- Formal Methods in Robotics
- Reinforcement Learning
- Optimal Control
- Advanced Robotics
- Computer Vision
- Estimation of Dynamical Systems
-
2018.08 - 2022.08 Mumbai, India
Bachelors
Indian Institute of Technology Bombay (IIT Bombay)
Aerospace Engineering (Honors); Minor in Systems and Control Engineering
- Motion Planning and Control of Autonomous Vehicles
- Stochastic and Networked Control
- Adaptive and Learning Control Systems
Awards
- Spring 2023
Department Fellowship
Department of Aerospace Engineering, UIUC
Awarded to Ph.D. students with outstanding academic and research achievements.
- Fall 2023
Student Travel Award
IEEE Conference on Decision and Control
- Fall 2021
Chanakya Research Fellowship
IIT Bombay
Awarded for research on autopilot design for delivery drones.
Publications
-
2024.12.25 ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
-
2024.10.28 Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach
arXiv preprint arXiv:2410.21249
-
2024.08.13 Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
arXiv preprint arXiv:2408.07192
-
2024.03.13 A Moral Imperative: The Need for Continual Superalignment of Large Language Models
arXiv preprint arXiv:2403.14683
-
2024.01.04 Assured Collision Avoidance for Learned Controllers: A Case Study of ACAS Xu
AIAA SCITECH 2024 Forum
-
2023.5.25 Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs
IEEE Control Systems Letters, Volume 7
Skills
| Programming Languages | |
| C++ | |
| C | |
| Python | |
| Julia | |
| MATLAB | |
| Bash |
| Libraries & Frameworks | |
| PyTorch | |
| TensorFlow | |
| Keras | |
| OpenCV | |
| OpenAI Gym | |
| ROS/ROS2 | |
| Gazebo | |
| Simulink | |
| Git |
Languages
| English | |
| Fluent |
| Hindi | |
| Fluent |
| Gujarati | |
| Native Speaker |
References
| Professor Melkior Ornik | |
| Ph.D. advisor |