• Instructional Assistant Professor, Engineering Technology & Industrial Distribution,
  • Master of Engineering Technical Management
Yuexin Liu

Educational Background

  • Ph.D., Mathematical Sciences, New Jersey Institute of Technology – 2022
  • M.S., Computer Engineering, Florida International University – 2015

Research Interests

    • Deep Reinforcement Learning: Using deep reinforcement learning in microswimmer control and cybersecurity in cyber-physical systems.
    • Machine Learning in Education: Applying machine learning and eye-tracking to enhance online learning, especially for learners with disabilities and in STEM education through software and games.
    • Wellness and Mental Health in the Workplace: Exploring technology's role in professional mental health support, including stress and happiness analysis in technical careers.
    • Enhanced Distance Learning: Advancing remote education using emerging technologies and innovative learning methods.

Awards & Honors

  • NSF I-Corp Award, 2018

Selected Publications

  • Zou, Zonghao, Yuexin Liu, Alan CH Tsang, Y-N. Young, and On Shun Pak. "Adaptive micro-locomotion in a dynamically changing environment via context detection." Communications in Nonlinear Science and Numerical Simulation 128 (2024): 107666.
  • Liu, Yuexin, Wei Lu, Amir Tofighi Zavareh, Michelle Rigsby, and Ben Zoghi. "Improving Mental Health Support in Engineering Education using Machine Learning and Eye-Tracking." In 2023 IEEE Frontiers in Education Conference (FIE), pp. 1-5. IEEE, 2023.
  • Zou, Zonghao, Yuexin Liu, Y-N. Young, On Shun Pak, and Alan CH Tsang. "Gait switching and targeted navigation of microswimmers via deep reinforcement learning." Communications Physics 5, no. 1 (2022): 158.
  • Liu, Yuexin, Zonghao Zou, Alan Cheng Hou Tsang, On Shun Pak, and Y-N. Young. "Mechanical rotation at low Reynolds number via reinforcement learning." Physics of Fluids 33, no. 6 (2021).