معرفی
Jianli Chen is an Adjunct Assistant Professor in the Department of Civil & Environmental Engineering at the University of Utah. Prior to this role, he worked as a postdoctoral researcher at the US National Renewable Energy Lab, focusing on grid-interactive efficient buildings and renewable energy integration. His research bridges building sustainability with artificial intelligence, emphasizing energy efficiency, occupant behavior, and resilient urban infrastructure.
- PhD in Building Construction from Georgia Institute of Technology
- MS in Civil Engineering and Computational Science from Virginia Tech and Georgia Tech
- BE in Civil and Computer Engineering from Dalian Jiaotong University
Chen’s research spans interdisciplinary domains, including:
- Building energy and airflow modeling
- Physics-informed machine learning for energy systems
- Smart building control through IoT and LLMs
- Latent load adjustment in HVAC systems
- Urban heat island mitigation via geospatial analysis
His recent publications demonstrate expertise in integrating LLMs with building simulation tools like EnergyPlus, developing hybrid modeling frameworks, and optimizing Bayesian calibration methods. Key projects involve:
- Microgrid solutions for Navajo Nation communities
- High-resolution demand response strategies
- Machine learning-driven occupant interaction platforms
- Dynamic community vulnerability assessment with mobility data
Professional engagement includes:
- Member of ASHRAE Smart Building Systems Committee
- Scholarly contributions to Energy, Building Simulation, and Applied Energy
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