About Me

I am currently a Master’s student in Control Engineering at Northeastern University, advised by Prof. Zhenyu Gao and Prof. Ge Guo.

While my previous work focused on control theory and vehicle platoon systems, my current research interests have pivoted toward Embodied Intelligence (Embodied AI) and Reinforcement Learning. I am particularly interested in leveraging control-theoretic principles to enhance the robustness, safety, and generalization of learning-based algorithms for intelligent robots. I aim to produce work that possesses both scientific significance and engineering value. I am open to collaboration. If you are interested, please feel free to reach out via email at liuw8@mails.neu.edu.cn.

Education

• M.S. in Control Engineering, Northeastern University, China, Sep. 2023 - Present
• B.S. in Automation, Dalian Polytechnic University, China, Sep. 2018 - Jun. 2022

Research Experience

• Visiting students, The Hong Kong University of Science and Technology (Guangzhou), Sep. 2025 - Nov. 2025
  • Designed control barrier functions (CBFs) for dynamic systems with Markovian jump input delays to enforce safety constraints.
• Research Assistant, Central South University, May 2025 - Aug. 2025
  • Focused on learning robot hardware assembly and simulation platform development, including basic hardware setup and system configuration.

Honors & Awards

• Outstanding Graduate of Liaoning Province, Liaoning Provincial Department of Education, 2026
• National Scholarship, Ministry of Education of China, 2024 & 2025
• First Prize Scholarship, Northeastern University, 2024 & 2025
• Meritorious Winner (Top 7%), Interdisciplinary Contest in Modeling (ICM), 2021
• First Prize, Liaoning Province Physics Academic & Experiment Competitions, 2019

Technical Skills

• Languages: MATLAB, Python, C/C++
• Tools: ROS, MuJoCo, Isaac Lab STM32