Mingchen Li šŸ’”

About Me

Mingchen Li is a PHD student in Civil Engineering at Hong Kong University of Science and Technology. He research interests include Large Language Model, Semantic Model, Building Performance Optimization and Machine Learning. He is now a student of Prof. Wang and works on semantic modeling of air conditioning systems.

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Interests
  • Large Language Model
  • Semantic Model
  • Building Performance Optimization
  • Machine Learning
Education
  • PhD | Civil Engineering

    Hong Kong University of Science and Technology

  • Master | Smart Building

    Tianjin University

  • Bachelor | Urban underground space engineering

    China University of Mining & Technology,Beijing

šŸ“š My Research

Iā€™m a PHD Student in the Hong Kong University of Science and Technology, specializing in large language models, semantic models, and building performance simulation.

Currently, I am dedicated to developing “BuildingGPT,” an advanced tool aimed at revolutionizing how we approach building performance and intelligence. My work integrates qualitative and quantitative methods to explore the role of science and technology in driving economic growth.

Iā€™m particularly interested in collaborating with scholars in smart buildings, smart cities, and computer science. Please reach out via email/wechat to connect šŸ˜ƒ

Featured Publications
Recent Publications
(2024). Developing an Automatic Integration Approach to Generate Brick Model from Imperfect Building Information Modelling. Journal of Building Engineering.
(2023). Modelling variable refrigerant flow system for control purpose. Energy and Buildings.
(2023). Based on ANN and many-objective optimization to improve the performance and economy of village houses in Chinese cold regions. Journal of Building Performance Simulation.
(2023). Uncertainty quantification and sensitivity analysis of energy consumption in substation buildings at the planning stage. Journal of Building Performance Simulation.