Huy Trong Tran

Huy Trong Tran
Huy Trong Tran
Assistant Professor
(217) 300-3257
321C Talbot Laboratory

For More Information

Education

  • Ph.D. in Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, December 2015
  • M.S. in Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, May 2014
  • M.S. in Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, May 2010
  • B.S. in Mechanical Engineering, North Carolina State University, Raleigh, NC, Magna Cum Laude May 2008

Academic Positions

  • Assistant Professor, Applied Research Institute, Aug. 2021 - present (0%)
  • Assistant Professor, University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, Aug. 2021 - present (100%)
  • Visiting Scholar, Air Force Institute of Technology, Department of Electrical and Computer Engineering, May 2018 - June 2018.
  • Research Assistant Professor, Applied Research Institute, Jan. 2017 - July 2021 (0%)
  • Research Assistant Professor, University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, Jan. 2017 - July 2021 (100%)
  • Adjunct Research Assistant Professor, University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, Dec. 2016 - Jan. 2017 (0%)

Other Professional Employment

  • Sr. Multi-Disciplinary Systems Engineer, The MITRE Corporation, Bedford MA, Jan. 2016 - Jan. 2017

Major Consulting Activities

  • Consultant for The MITRE Corporation, Feb. 2017-Sept. 2017

Resident Instruction

  • AE 498 CSE/CSO: Computational Systems Engineering (Spring 2017, Spring 2019).
  • AE 443: Aerospace Systems Design II (Spring 2018).
  • AE 442: Aerospace Systems Design I (Fall 2017).
  • AE 370: Aerospace Numerical Methods (Spring 2022, Fall 2022, Fall 2023).
  • AE 202: Introduction to Flight Mechanics (Fall 2018, Fall 2019, Fall 2021).
  • AE 199: Aerospace Computing (Spring 2020, Fall 2020).

Research Interests

  • Autonomy
  • Reinforcement Learning
  • Machine Learning
  • Multiagent Systems
  • Network Science
  • Graph Theory
  • Optimization
  • Transportation Networks

Research Areas

Selected Articles in Journals

Articles in Conference Proceedings

Refereed Conference Papers and Presentations

  • R. Nigam, N. Parikh, J. Heglund, M. Yuasa, and H. T. Tran, “Coordination in Ad Hoc Teams with Generalized Policy Improvement", IROS 2023 Workshop on Advances in Multi-Agent Learning - Coordination, Perception, and Control, Detroit, MI (2023). Selected for oral presentation.
  • N. Van Stralen, S. Kim, H. T. Tran, and G. Chowdhary, “Feature Specialization and Clustering Improves Hierarchical Sub-task Learning", Proc. of the Adaptive and Learning Agents Workshop (ALA 2022), Virtual, 2022.

Recent Courses Taught

  • AE 199 170 - Aerospace Computing
  • AE 202 - Aerospace Flight Mechanics
  • AE 370 - Aerospace Numerical Methods
  • AE 443 A1 - Aerospace Systems Design II
  • AE 498 CSE - Comp Methods for Sys Engr
  • AE 598 ORL (AE 598 RL) - Reinforcement Learning