LabCompass

Hyunsang Park

Engineering · Purdue University West Lafayette

Mid career · publishing since 2010Rising activity

Publications

11

Citations

71

Est. group size

~3

Recurring co-author estimate

Active years

16

Publishing since 2010

Research summary
AI-generated

Hyunsang Park's research focuses on making air traffic operations safer and more efficient using data-driven and machine-learning methods, including detecting unusual or anomalous flight patterns, predicting arrival times, and coordinating multiple aircraft through multi-agent learning systems. Related work also addresses fault-tolerant flight control and mathematical tools (reachability analysis) for verifying the safety of complex, nonlinear systems such as autonomous vehicles.

Air traffic management and controlAnomaly detection in flight dataMachine learning for aerospace systemsFault-tolerant and adaptive flight controlSafety verification of nonlinear/autonomous systems

Publication output was minimal before 2021 but has grown steadily since, averaging under two papers per year over the last five years with consistent activity from 2021 through 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
171819202021: 1 publication212022: 2 publications222023: 3 publications3232024: 2 publications242025: 2 publications2526
Publishes in
  • Transportation Research Part C Emerging Technologies×2
  • Journal of Aerospace Information Systems×2
  • Journal of Air Transport Management×2
  • IEEE Control Systems Letters×2
  • IEEE Transactions on Aerospace and Electronic Systems×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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