Hi, I’m Binh (Micheal) Nguyen
Currently, I am a Postdoctoral Researcher at the University of Central Florida in Orlando. My research primarily focuses on developing physics-informed machine learning approaches, learning-based control and optimization techniques, and data-driven modeling methodologies. These efforts aim to address real-world challenges in various fields, including the control of multiple autonomous systems, robotic path planning, and secure cyber-physical systems.
News
Our paper AD-MPCC: Adaptive Differentiable Model Predictive Contouring Control for Autonomous Racing is published in IROS.
Our paper Communication-efficient ADMM using Gaussian process regression and fully adaptive uniform quantization is published in Franklin Open.
Our paper Data-driven distributed voltage regulation in electrical distribution systems is accepted in Optimization and Engineering.
Our paper LEAP-O: Learning to Predict Dynamic Obstacles for Safe Trajectory Planning is accepted in ACC 2026.
Our paper Physics-Informed Data-Driven Modeling of HVAC Systems: A Systematic Analysis is accepted in IEEE Access.
Our paper Collision-Aware Formation Control of Nano-Quadrotors received the best paper award at the 2025 IEEE International Conference on Omni-layer Intelligent Systems (source)
Our team attended the American Control Conference (ACC) in Denver, Colorado (source)
Our paper Spatio-temporal informative path planning is accepted in ACC 2025.
Our paper CAIS: Culvert Autonomous Inspection Robotic System is accepted in IROS 2025.
Our paper Observer-based control for linear continuous-time systems with fully homomorphic encryption has been published in TCNS.
Our US patent Channel state information feedback method in reconfigurable intelligent surface-based massive MIMO system has been made public.
Highlighted Publications
† Equal contribution. See Google Scholar for full list of publications.
AD-MPCC: Adaptive Differentiable Model Predictive Contouring Control for Autonomous Racing
Data-driven distributed voltage regulation in electrical distribution systems
Spatially temporally distributed informative path planning for multi-robot systems
Observer-based control for linear continuous-time systems with fully homomorphic encryption
Connectivity-preserving distributed informative path planning for mobile robot networks