Huy Trong Tran
ASST PROF, CSL
(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).
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
Selected Articles in Journals
M. V. Gasparino, A. N. Sivakumar, Y. Liu, A. E. B. Velasquez, V. A. H. Higuti, J. Rogers, H. T. Tran, and G. Chowdhary, “WayFAST: Traversability Predictive Navigation for Field Robots", IEEE Robotics and Automation Letters, 7(4), p. 10651-10658 (2022).
A. Markina-Khusid, R. Jacobs, L. Antul, L. Cho, and H. T. Tran, “A Complex Network Framework for Validated Assessments of Robustness in Systems of Systems", IEEE Systems Journal, 16(1), p. 1092-1102 (2022).
J. Heglund, K. Hopkinson, and H. T. Tran, "Social Sensing: Towards Social Media as a Sensor for Resilience in Power Systems and Other Critical Infrastructures", Sustainable and Resilient Infrastructure, 6(1-2), p. 94-106 (2021).
A Wong, S. Tan, K. R. Chandramouleeswaran, and H. T. Tran, “Data-driven Analysis of Resilience in Airline Networks”, Transportation Research Part E: Logistics and Transportation Review, 143 (2020).
K. Thompson and H. T. Tran, "Operational Perspectives into the Resilience of the U.S. Air Transportation Network Against Intelligent Attacks", IEEE Transactions on Intelligent Transportation Systems, 21(4), p. 1503-1513 (2020).
N. Napier, S. Sriraman, H. T. Tran, and K. James, "An Artificial Neural Network Approach to Generating High-Resolution Designs in Topology Optimization", Journal of Mechanical Design, 142(1), p. 1-11 (2020).
H. T. Tran, J. C. Domercant, and D. N. Mavris, "Parametric Design of Resilient Complex Networked Systems", IEEE Systems Journal, 13(2), p. 1496-1504 (2019).
Tran, H. T., Balchanos, M., Domercant, J. C., & Mavris, D. N., "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, 158, p. 73–84 (2017).
H. T. Tran, J. C. Domercant, and D. N. Mavris, "Evaluating the Agility of Adaptive Command and Control Networks from a Cyber Complex Adaptive Systems Perspective," Journal of Defense Modeling & Simulation, 12, p. 405-422 (2015).
Articles in Conference Proceedings
W. Dimon, N. Chase, N. Van Stralen, R. Nigam, M. Lembeck, and H. T. Tran, "D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks", 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy (2022).
S. H. Kim, N. V. Stralen, G. Chowdhary, and H. T. Tran, "Coordination in Multi-agent Reinforcement Learning with Successor Features," Proc. of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), Virtual (2022). Acceptance rate 26%.
J. Heglund, P. Taleongpong, S. Hu, and H. T. Tran, “Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks”, 2020 IEEE Intelligent Transportation Systems Conference (ITSC), Virtual (2020).
N. V. Stralen, S. Kim, H. T. Tran, and G. Chowdhary, "Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning", 2020 International Conference on Robotics and Automation (ICRA), Virtual (2020). Acceptance rate 44%.
K. Thompson and H. T. Tran, “Application of a Defender-Attacker-Defender Model to the U.S. Air Transportation Network,” 2018 IEEE International Symposium on Technologies for Homeland Security, Woburn, MA (2018).
K. R. Chandramouleeswaran and H. T. Tran, "Data-driven Resilience Quantification of the US Air Transportation Network," 2018 Annual IEEE International Systems Conference (SysCon), Vancouver, CA (2018).
L. Antul, S. Ricks, L. Cho, M. Cotter, R. B. Jacobs, A. Markina-Khusid, J. Kamenetsky, J. Dahmann, and H. T. Tran, "Toward Scaling Model-Based Engineering for Systems of Systems," 2018 IEEE Aerospace Conference, Big Sky, MT (2018).
K. R. Chandramouleeswaran, D. Krzemien, K. Burns, and H. T. Tran, “Machine Learning Prediction of Airport Delays in the US Air Transportation Network,” 2018 AIAA Aviation Forum, Atlanta, GA (2018).
H. T. Tran, J. C. Domercant, and D. N. Mavris, "Designing Resilient System-of-Systems Networks," 2017 Annual IEEE International Systems Conference (SysCon), Montreal, CA (2017).
H. T. Tran, J. C. Domercant, and D. N. Mavris, "A Network-based Cost Comparison of Resilient and Robust System-of-Systems," In Procedia Computer Science (Vol. 95, p. 126-133), Complex Adaptive Systems Conference, Los Angeles, CA (2016). Best Paper Award: Theoretical.
H. T. Tran, J. C. Domercant, and D. N. Mavris, “A System-of-Systems Approach for Assessing the Resilience of Reconfigurable Command and Control Architectures,” AIAA Infotech @ Aerospace Conference, Kissimmee, FL, (2015).
M. G. Balchanos, J. C. Domercant, H. T. Tran, and D. N. Mavris, “Metrics-based Analysis and Evaluation Framework for Engineering Resilient Systems,” 2014 7th International Symposium on Resilient Control Systems (ISRCS), p. 1-7, Denver, CO (2014).
H. T. Tran, J. C. Domercant, and D. N. Mavris, “Trade-offs Between Command and Control Architectures and Force Capabilities Using Battlespace Awareness,” 19th International Command and Control Research and Technology Symposium (ICCRTS), Alexandria, VA (2014).
Refereed Conference Papers and Presentations
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