Education background：
2018-2021 PhD in Architectural science and technology, M.E. Rinker, Sr. School of Construction Management, University of Florida,
Florida, USA.
2015-2016 MS in Architectural Studies, School of Architecture, University of Florida, Florida, USA.
2014-2017 MFA in Environmental Design, School of Architecture and Urban Planning
Huazhong University of Science and Technology, Wuhan, China
Previous Employment:
2023-Present Assistant Professor of Environmental Design, the Institute of Creativity and Innovation, Xiamen University
2022-2023 Post-Doctoral fellow, UrbSys Laboratory, M.E. Rinker, Sr. School of Construction Management, University of Florida,
Florida, USA.
2019-2021 Research Assistant, UrbSys (Urban Building Energy, Sensing, Controls, Big Data Analysis, and Visualization) Laboratory,
M.E. Rinker, Sr. School of Construction Management, University of Florida, Gainesville, FL, USA
Academic affiliations：
2026-Present Committee Member, China Green Building and Energy Efficiency Council
2026-Present Senior Member, China Society for Urban Studies (CSUS)
2022-Present International WELL Building Institute (IWBI)-certified WELL AP
2018-Present U.S. Green Building Council (USGBC)-certified LEED AP
2018-Present Peer-Reviewer for SCI-indexed journals, including J. Hazardous Materials, J. Cleaner Production, Building and Environment, Building Simulation, J. Building Engineering, Indoor Air, J. Big Data, Scientific Reports, BMC Public Health, Environment, Development and Sustainability, Indoor and Built Environment, Engineering Construction and Architectural Management, J. Environmental Management etc.
2018-Present Occupational Safety and Health Administration (OSHA) 30-Hr certification, 2018
Research Interests:
Indoor environmental quality， Integrated sensing technology， Green and healthy building design， Sustainable development，
Indoor Environmental Monitoring and control， Hybrid machine Learning
Research Results (selected)：
Zhang H, Srinivasan R, Chen C, Yang X, Ganesan V, Muyan C. Multi-scenario assessment of living-wall effects on building air purification, noise attenuation, and thermal insulation using quantum machine learning. Building and Environment. 2026. (SCI JCR Q1)
Zhang H, Srinivasan R, Yang X, Ahrentzen S, Coker ES, Alwisy A. Factors influencing indoor air pollution in buildings using PCA-LMBP neural network: A case study of a university campus. Building and Environment. 2022. (JCR Q1)
Zhang H, Srinivasan R, Yang X, Ganesan V, Chen H, Zhang H. An attention temporal convolution network-based hybrid approach to simulating indoor air pollutants and their determinants in classroom and office spaces. Journal of Building Engineering. 2024. 109873. (JCR Q1)
Zhang H, Srinivasan R, Yang X, Ganesan V, Zhang H. Diurnal variation of indoor air pollutants and their influencing factors in educational buildings: a case study using LASSO-based ANNs. Atmospheric Environment. 2024. 120673. (JCR Q1)
Zhang H, Srinivasan R, Yang X, Ganesan V, Zhang J, Zhang H. Quantifying Indoor Air Quality Determinants in Green-Certified Buildings Using a Hybrid Machine Learning Method: A Case Study in Florida. Indoor Air. 2025. 2150075. (JCR Q1)
