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Lu Li

Assistant Professor

University at Albany, State University of New York

United States

Research Interests

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About

Lu Li is an Assistant Professor at the University at Albany, State University of New York. His research focuses on indoor environmental quality, energy efficiency, and computational fluid dynamics, as evidenced by his recent work on optimizing air quality and thermal comfort using advanced algorithms. He has published articles exploring topics such as mixed chamber experimental databases, green design platforms, and intelligent optimization techniques for smart environmental control.

Articles (8)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Collaborators (3)

Bess Krietemeyer

Associate Professor

Syracuse University

UNITED STATES

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Shayan Mirzabeigi

Assistant Professor

SUNY College of Environmental Science and Forestry

UNITED STATES

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Alexis Lau

Head and Chair Professor

The Hong Kong University of Science and Technology

HONG KONG

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Lu Li

Research Interests

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Articles (8)

A high-performance multi-scale modular-based green design studio platform for building and urban environmental quality and energy simulations

Development of a mixed chamber experimental and CFD database of indoor environments

An integrated experimental and CFD analysis of ceiling-fan-integrated air conditioning system: Indoor air quality and air velocity

Enhancing IAQ, thermal comfort, and energy efficiency through an adaptive multi-objective particle swarm optimizer-grey wolf optimization algorithm for smart environmental control

A POD-DMD augmented procedure to isolating dominant flow field features in a street canyon

Development of a back-propagation neural network combined with an adaptive multi-objective particle swarm optimizer algorithm for predicting and optimizing indoor CO2 and PM2.5 concentrations

A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality

Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization

Collaborators (3)

Bess Krietemeyer

Shayan Mirzabeigi

Alexis Lau

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