• 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

  • Z. Zou, Y. Liu, A.C.H. Tsang, Y.N. Young, O.S. Pak, "Adaptive micro-locomotion in a dynamically changing environment via context detection," Communications in Nonlinear Science and Numerical Simulation 128 (2024): 107666, 2024
  • Y. Liu, W. Lu, A.T. Zavareh, M. Rigsby, B. Zoghi, "Improving Mental Health Support in Engineering Education using Machine Learning and Eye-Tracking," IEEE Frontiers in Education Conference (FIE), pp. 1-5. IEEE, 2023
  • Z. Zou, Y. Liu, Y.N. Young, O.S. Pak, A.C.H. Tsang, "Gait switching and targeted navigation of microswimmers via deep reinforcement learning," Communications Physics 5, no. 1: 158, 2022
  • Y. Liu, Z. Zou, A.C.H. Tsang, O.S. Pak, Y.N. Young, "Mechanical rotation at low Reynolds number via reinforcement learning," Physics of Fluids 33, no. 6, 2021