About me
I am a PhD candidate in Mechanical Engineering with an emphasis on Robotics & Control at the University of Delaware, DE, USA and a visiting (non-degree) graduate student in System Engineering at Cornell University, NY, USA. I work under the supervision of Dr. Andreas Malikopoulos in the Information and Decision Science (IDS) Lab. I received the MSc degree in Informatics from Northern Arizona University, AZ, USA and the BSc degree in Automation and Control Engineering (Talented program) from Hanoi University of Science and Technology, Vietnam in 2021 and 2019, respectively. From June to August 2023, I was a research intern at Honda Research Institute USA. My current research interest includes Learning-based Control, Model Predictive Control, Distributed Optimization, and Multi-agent Systems, with a typical application in Connected and Automated Vehicles.
Recent News
June 2024: My joint article with Behdad Chalaki, Filippos Tzortzoglou, and Dr. Andreas Malikopoulos, “Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios” has been accepted for publication in the IEEE Transactions on Control Systems Technology, Special Issue on Intelligent Decision Making, Planning and Control of Automated Vehicles [paper].
June 2024: My joint work with Honda Research Institute USA team, “Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction”, has been accepted to the 2024 IEEE International Conference on Intelligent Robots and Systems (IROS2024) [arXiv preprint].
January 2024: My joint work with Honda Research Institute USA team, “Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach”, has been accepted to the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024) [paper].
August 2023: I have joined Cornell University as a visiting (non-degree) graduate student in System Engineering, and still work with Dr. Andreas Malikopoulos.
July 2023: My joint article with Hao M. Wang, Dr. Gabor Orosz, and Dr. Andreas Malikopoulos, “Coordination for Connected Automated Vehicles at Merging Roadways in Mixed Traffic Environment” [paper], and my joint article with Nishanth Venkatesh, Aditya Dave, and Dr. Andreas Malikopoulos, “Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging” [paper], have been accepted to the 2023 IEEE Conference on Decision and Control (CDC 2023).
June 2023: I have joined Honda Research Institute USA as a research intern this summer.
March 2023: My joint article with Ishtiaque Mahbub and Dr. Andreas Malikopoulos, “Safety-Prioritized Receding Horizon Control Framework for Platoon Formation in a Mixed Traffic Environment”, has been accepted for publication in Automatica [paper].
January 2023: My joint article with Dr. Andreas Malikopoulos, “Optimal Weight Adaptation of Model Predictive Control for Connected and Automated Vehicles in Mixed Traffic with Bayesian Optimization”, has been accepted to the 2023 American Control Conference (ACC 2023) [paper].
October 2022: Our team (Heeseung Bang and I) participated in the IEEEXtreme programming competition and finished at 949/6373 globally (12/99 in USA).
July 2022: My joint article with Dr. Andreas Malikopoulos, “A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation”, has been accepted to the 2022 IEEE Conference on Decision and Control (CDC 2022) [paper].
June 2022: My joint article with Dr. Truong X. Nghiem and Dr. Linh Nguyen, “Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM”, has been accepted for publication in IEEE Access [paper].
- May 2022: My joint article with Ishtiaque Mahbub and Dr. Andreas Malikopoulos, “Safety-Aware and Data-Driven Predictive Control for Connected Automated Vehicles at a Mixed Traffic Signalized Intersection”, has been accepted to the 10th IFAC Symposium on Advances in Automotive Control [paper].