LabCompass

Shivam Bajaj

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2016Rising activity

Publications

23

Citations

46

Est. group size

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Shivam Bajaj works on control theory and robotics, with a focus on how autonomous vehicles and multi-agent systems can plan trajectories, defend territory, or make decisions in competitive or uncertain settings. Much of the work involves mathematical analysis of pursuit-evasion games, perimeter defense strategies, and optimal control problems, as well as data-driven methods for learning control policies in linear systems. This research is largely theoretical, using tools from optimization, game theory, and control systems to establish guarantees about vehicle or system behavior.

Perimeter defense and pursuit-evasion gamesTrajectory optimization for autonomous vehicles (e.g., Dubins vehicles)Multi-agent and distributed control systemsData-driven and learning-based control (linear quadratic control)Game theory and rationality in learning algorithms

Publication output has grown from essentially none in the late 2010s to a steady pace of 3-5 publications per year since 2023, indicating an active and slightly increasing research output in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
17182019: 1 publication19202021: 3 publications212022: 2 publications222023: 4 publications232024: 5 publications5242025: 4 publications252026: 3 publications26
Publishes in
  • arXiv (Cornell University)×8
  • IEEE Control Systems Letters×2
  • IEEE Transactions on Robotics×1
  • Frontiers in Control Engineering×1
  • Theoretical Computer Science×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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