Manav Vora
Scholar

Manav Vora

Google Scholar ID: hr48LoAAAAAJ
University of Illinois Urbana Champaign
Multi-Agent SystemsReinforcement LearningSequential Decision-MakingRobotics
Citations & Impact
All-time
Citations
31
 
H-index
3
 
i10-index
1
 
Publications
11
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Publications: ComTraQ-MPC accepted at IROS 2024 (Oral); NNCS Verification accepted at AIAA SciTech 2024; Welfare Maximization Algorithm for Solving Budget-Constrained POMDPs accepted in IEEE LCSS (Presentation at IEEE CDC 2023); Awards: Cleared Ph.D. Qualifying Exam; Received IEEE CDC 2023 Travel Award; Received UIUC AE Department Fellowship.
Research Experience
  • Currently conducting Ph.D. research at the LEADCAT Lab, advised by Prof. Melkior Ornik.
Education
  • Ph.D. Candidate: Aerospace Engineering at the University of Illinois Urbana-Champaign (UIUC), Advisor: Prof. Melkior Ornik, LEADCAT Lab; Bachelor's degree: Aerospace Engineering (with honors) with a minor in Systems and Controls Engineering from the Indian Institute of Technology Bombay (IIT Bombay).
Background
  • Research interests: developing scalable algorithms for multi-agent systems and robotics in constrained, stochastic environments. Particularly focused on creating methods that can seamlessly adapt to a variety of resource, safety, and temporal constraints—ultimately enabling robust autonomy across diverse real-world settings.
Miscellany
  • Personal interests: sports (both watching and playing), staying active at the gym, traveling, discovering new cuisines, and immersing myself in music—especially EDM; huge Manchester United fan; currently reading: The Dark Forest by Cixin Liu and Deep Generative Models by Jakub Tomczak; currently watching: The Diplomat on Netflix; currently playing: Marvel Rivals.