Bu Zhao

Dr. Bu Zhao is a Volunteer Research Faculty in the Department of Environmental and Sustainable Engineering at University at Albany. He will officially join the Department of Environmental and Sustainable Engineering as a tenure-track Assistant Professor in Sep 2024. Currently, Dr. Zhao is also working as an Eric and Wendy Schmidt Postdoctoral Fellow at Cornell University. Before joining University at Albany, he was a Postdoctoral Research Fellow and Lecturer at the University of Michigan. He has been serving as the Managing Editor of the journal Resources, Conservation & Recycling and the Review Editor of the journal Frontiers in Environmental Science. He is actively seeking prospective PhD students and postdoctoral research fellows.

Research Interests

My research focuses on data-driven environmental system analysis to analyze and mitigate the environmental impacts of human activities. I aim to advance our understanding of sustainable systems by integrating AI techniques and environmental science, particularly in the context of climate change and carbon neutrality goals.

• Data-driven Environmental System Analysis
• Environmental Big Data
• Industrial Ecology
• Sustainable Engineering

Selected Journal Publications

Guo, R., Zhang, Q., Yu, X., Qi, Y., Zhao, B*. A deep spatio-temporal learning network for continuous citywide air quality forecast based on dense monitoring data. Journal of Cleaner Production, 2023, 414, 137568.
Chen, X., Shuai, C.*, Zhao, B., Zhang, Y., Li, K. Imputing Environmental Impact Missing Data for the Industrial Sector for Chinese Cities: A Machine Learning Approach. Environmental Impact Assessment Review, 2023, 100, 107050
Zhao, B., Shuai, C., Qu, S., Xu, M*. Use Deep Learning to Fill Data Gaps in Environmental Footprint Accounting. Environmental Science & Technology, 2022, 56(16), 11897-11906
Chen, X., Zhao, B., Shuai, C*., Qu, S., Xu, M. Global spread of water scarcity risk through trade. Resources, Conservation and Recycling, 2022, 187, 106643
Shuai, C., Zhao, B., Chen, X., Liu, J., Zheng, C., Qu, S., Zou, J., Xu, M. Quantifying the Impacts of COVID-19 on Sustainable Development Goals Using Machine Learning Models. Fundamental Research, 2022, https://doi.org/10.1016/j.fmre.2022.06.016
Zhao, B., Shuai, C., Hou, P., Qu, S., Xu, M*. Estimate Unit Process Data for Life Cycle Assessment Using a Decision Tree-Based Approach. Environmental Science & Technology, 2021, 55(12), 8439-8446
Zhao, B., Yu, L., Wang C., Shuai, C., Zhu, J., Qu, S., Xu, M*. Urban Air Pollution Mapping Using Fleet Vehicles as Mobile Monitors and Machine Learning. Environmental Science & Technology, 2021, 55(8), 5579-5588
Shuai, C., Yu, L., Chen, X., Zhao, B., Qu, S., Zhu, J., Liu, J., Miller, S., Xu, M*. Principal indicators to monitor Sustainable Development Goals. Environmental Research Letters, 2021,16(12), 124015
Hou, P., Zhao, B., Jolliet, O., Zhu J., Wang, P., Xu, M*. Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models. ACS Sustainable Chemistry & Engineering, 2020, 8 (32), 12168-12176
Zhang, B., Zhao, B., Zuo, P., Huang, Z., Zhang, J*. Influencing factors and prediction of ambient Peroxyacetyl nitrate concentration in Beijing, China. Journal of Environmental Sciences, 2019, 77, 189-197