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Faculty

Department of Electrical and Computer Engineering

 

Biography

Truong X. Nghiem received his doctoral degree in electrical and systems engineering from the University of Pennsylvania. He was an assistant professor, then an associate professor at Northern Arizona University from 2018 until he joined UCF in 2024.

Nghiem received the NSF CAREER Award in 2023, the NSF ERI Award in 2022 and the Best Paper Award from the ACM/IEEE International Conference on Cyber-Physical Systems in 2018. He is a senior member of the Institute of Electrical and Electronics Engineers and a member of the Association for Computing Machinery.

Nghiem’s research interests include the integration of control, optimization, machine learning and computation to address cyber-physical system challenges across various domains. His research laboratory, the intelligent Cyber-Physical Systems (iCPS) Lab, focuses on developing the scientific and engineering foundations of intelligent cyber-physical systems, with applications such as digital twins, smart buildings & energy systems, autonomous vehicles and robotics. Research areas include, but are not limited to, scientific machine learning, artificial intelligence, control theory and optimization.

Publications

  • L. Nguyen, D. K. Nguyen, T. Nguyen, and T. X. Nghiem, “Convolutional neural network regression for low-cost microalgal density estimation,” e-Prime – Advances in Electrical Engineering, Electronics and Energy, vol. 9, p. 100653, 2024.
  • B. Nguyen, T. X. Nghiem, L. Nguyen, H. M. La, and T. Nguyen, “Connectivity-Preserving Distributed Informative Path Planning for Mobile Robot Networks,” IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2949–2956, Mar. 2024.
  • A. Duarte, T. X. Nghiem, and S. Wei, “Optimal querying for communication-efficient ADMM using Gaussian process regression,” Franklin Open, p. 100080, Mar. 2024.
  • T. X. Nghiem, T. Nguyen, B. Nguyen, and L. Nguyen, “Causal Deep Operator Networks for Data-Driven Modeling of Dynamical Systems,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2023.
  • T. Nagy, A. Amine, T. X. Nghiem, Ugo Rosolia, Zirui Zang, and Rahul Mangharam, “Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces,” in IFAC World Congress 2023, 2023.
  • T. X. Nghiem et al., “Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems,” in 2023 American Control Conference (ACC), 2023, pp. 3735–3750.
  • B. Nguyen, T. X. Nghiem, L. Nguyen, A. T. Nguyen, T. Nguyen, and M. Sookhak, “Distributed formation trajectory planning for multi-vehicle systems,” in 2023 American Control Conference (ACC), 2023, pp. 1325–1330.
  • R. Tumu, L. Lindemann, T. X. Nghiem, and R. Mangharam, “Physics Constrained Motion Prediction with Uncertainty Quantification,” in IEEE Intelligent Vehicles Symposium (IV) 2023, 2023.

Research Interests

  • Intelligent cyber-physical systems
  • Digital twins
  • Scientific and physics-informed machine learning
  • Distributed optimization and control