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.
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 Journal of Cleaner Production, Building and Environment, Journal of Hazardous Materials, Journal of Big Data, Engineering, Construction and Architectural Management, Scientific Reports, Environment, Indoor Air, Development and Sustainability, BMC Public Health、Journal of Environmental Management, etc.
2018-Present Occupational Safety and Health Administration (OSHA) 30-Hr certification, 2018
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
Research Interests:
Indoor Air Quality Modeling, 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, 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)
Zhang H, Asutosh AT, Zhang J. A quantitative sustainable comparative study of two biogas systems based on energy, emergy and entropy methods in China. Journal of Environment, Development and Sustainability, 2022, 1-27. (JCR Q2)
