Tong Liu, Ph.D. Candidate

New York University, Tandon School of Engineering, Brooklyn, NY

Ph.D. in Electrical Engineering, 12/2025 (expected)

• Dissertation: Distributed optimization and learning-based control for networked systems with applications to intelligent transportation
• Advisor: Prof. Zhong-Ping Jiang

Beijing Jiaotong University, Beijing, China

M.S. in Traffic Information Engineering and Control, 07/2020

• Thesis: Energy-efficient train control methods based on approximate dynamic programming in urban rail transit
• Advisor: Prof. Jing Xun

Beijing Jiaotong University, Beijing, China

B.E. in Rail Traffic Signal and Control, 07/2017

• Dr. Li Publication Award at NYU Tandon School of Engineering, 2025
• School of Engineering Fellowship at NYU Tandon School of Engineering, 2021, 2025
• Student Travel Award at IEEE Conference on Decision and Control, 2021
• Outstanding Graduate of Beijing, Beijing, China, 2020
• National Scholarship, Beijing, China, 2018, 2019
• National Endeavor Scholarship, Beijing, China, 2014, 2015, 2016

New York University, Tandon School of Engineering, Brooklyn, NY

Teaching Assistant

• ECE-GY 5253, Applied Matrix Theory, Graduate Level, Instructor: Prof. Zhong-Ping Jiang
• Summer 2022, Fall 2022, Spring 2023, Summer 2023, Spring 2024, Fall 2024, and Fall 2025

Journal Reviewer

• IEEE Transactions on Automatic Control, Automatica, Annual Reviews in Control, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, Neurocomputing, ISA Transactions

Conference Reviewer

• IEEE Conference on Decision and Control, American Control Conference, IFAC Symposium on Nonlinear Control Systems, IEEE International Conference on Intelligent Transportation Systems

Session Chair

• IFAC Symposium on Nonlinear Control Systems, Reykjavik, Iceland, July, 2025, “Lyapunov Methods II” Session

• Programming Languages: Python, JavaScript, Git, Java, C, C++, R, MATLAB
• Frameworks: Pytorch, Tensorflow, Keras, Pandas, scikit-learn, Matplotlib
• Large Language Models: Hugging Face Transformers, PEFT, LoRA/QLoRA, RLHF, Langchain
• Knowledge: Deep Learning, Reinforcement Learning, Distributed Optimization, Systems Theory