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

• 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) [arXiv preprint].

• October 2023: 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”, was presented at the 2nd Workshop on Social Robot Navigation: Advances and Evaluation, IEEE International Conference on Intelligent Robots and Systems (IROS2023) [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].

• October 2021: Our team (Heeseung Bang and I) participated in the IEEEXtreme programming competition and finished at 678/5561 globally (20/86 in USA).

• July 2021: My joint article with Dr. Truong X. Nghiem, “Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes”, has been accepted to the 2021 IEEE Conference on Decision and Control (CDC 2021).

• April 2021: My joint article with Dr. Truong X. Nghiem, “A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes”, has been accepted to the 2021 IEEE Conference on Control Technology and Applications (CCTA 2021).

• April 2021: My joint article with Dr. Truong X. Nghiem and Dr. Linh Nguyen, “ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks”, has been accepted for publication in IEEE Sensors Journal.

• January 2021: My joint article with Dr. Truong X. Nghiem and Dr. Linh Nguyen, “An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM”, has been accepted to the 2021 American Control Conference (ACC 2021).