• Instructional Assistant Professor, Multidisciplinary Engineering
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Educational Background

  • The University of Tokyo, Ph.D., 2020
  • The University of Tokyo, M.Eng., 2017
  • Harbin Institute of Technology, B.Eng., 2014

Research Interests

    • Renewable Energy Applications, Thermal Energy Systems Design, District Energy Systems and Building Integration
    • Energy System Modeling and Optimization, AI and Machine Learning for Smart Building

Awards & Honors

  • Best student paper award – American Modelica Conference 2024

Selected Publications

  • Liu, M., Zhang, L., Chen, J., Chen, W. A., Yang, Z., Lo, L. J., ... & O’Neill, Z., Large language models for building energy applications: Opportunities and challenges. In Building Simulation (Vol. 18, No. 2, pp. 225-234). Beijing: Tsinghua University Press, (2025, February).
  • Liu, M., Guo, M., Fu, Y., O’Neill, Z., & Gao, Y., Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications. Applied Energy, 372, 123753, (2024).
  • Liu, M., Hino, T., Ooka, R., Wen, K., Choi, W., Lee, D., & Ikeda, S., Development of distributed multiple‐source and multiple‐use heat pump system using renewable energy: Outline of test building and experimental evaluation of cooling and heating performance. Japan Architectural Review, 4 (1), 241-252, (2021).