Changjie Cai, Ph.D.

Phone: (405)271-8001, x46774

Office: Hudson College of Public Health

801 Northeast 13th Street, Room 419

Post Office Box 26901

Oklahoma City, Oklahoma 73126-0901

Email: Changjie-Cai@ouhsc.edu

At the University of Oklahoma Health Sciences Center (OUHSC), I have been building my interdisciplinary research lab—Occupational and Environmental Health & Artificial Intelligence (OEH-AI) Lab. Research in the lab focuses on three directions: (1) identifying and assessing exposure of hazards (e.g., aerosols, bioaerosols, gases, etc.); (2) integrating AI techniques (e.g., traditional machine learning methods, deep learning, etc.) into occupational and environmental health fields; and (3) studying air pollutants and their climate effects using atmospheric dynamic models.  I have been working as an aerosol scientist, industrial hygienist, environmental engineer, modeler, and programmer.

Education:

• PhD, Occupational & Environmental Health, University of Iowa, 2018
• MS, Atmospheric Science, North Carolina State University, 2013
• BS, Atmospheric Science, Nanjing University of Information Science & Technology, 2009

Appointments:

• Assistant Professor, Department of Occupational and Environmental Health, OUHSC, 2020–present
• Assistant Professor of Research, Department of Occupational and Environmental Health, OUHSC, 2018–2020
• Graduate Research Assistant, Department of Occupational and Environmental Health, University of Iowa, 2015–2018
• Research Associate, Department of Occupational and Environmental Health, University of Iowa, 2014
• Graduate Research Assistant, Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, 2011–2013

Teaching:

• OEH 5013 Environmental Health
• OEH 5752 Hazards Control
• OEH 5960 Directed Readings
• OEH 5980 Research for Master’s Thesis
• OEH 5990 Special Studies
• OEH 6683 Applied Modeling in OEH

Research Interests:

• Identifying and assessing exposure of hazards (e.g., aerosols, bioaerosols, and gases).
• Integrating artificial intelligence techniques (e.g., machine learning) into occupational and environmental health fields.
• Studying air pollutants and their climate effects using atmospheric dynamic models (e.g., WRF-Chem, the Weather Research and Forecasting model coupled with Chemistry)

Link to Dr. Cai's current publications

Select publications (* corresponding author)

1. Billings, C., Cai, C.*, & Liu, Y.* (2021). Utilization of Antibacterial Nanoparticles in Photocurable Additive Manufacturing of Advanced Composites for Improved Public Health. Polymers, 13(16), 2616; https://doi.org/10.3390/polym13162616
2. Cai, C.*, Nishimura, T., Hwang, J., Hu, X. M., & Kuroda, A.* (2021). Asbestos Detection with Fluorescence Microscopy Images and Deep Learning. Sensors, 21(13), 4582, https://doi.org/10.3390/s21134582
3. Florez, F.E., Thibodeau, T., Oni, T., Floyd, E., Khajotia, S., & Cai, C.* (2021). Size-resolved spatial distribution analysis of aerosols with or without the utilization of a novel aerosol containment device in dental settings. Physics of Fluids, 33, 085102. https://doi.org/10.1063/5.0056229
4. Hu, X. M.*, Hu, J., Gao, L., Cai, C., Jiang, Y., Xue, M., ... & Crowell, S. M. (2021). Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China. Journal of Geophysical Research: Atmospheres, 126(10), e2020JD033538, https://doi.org/10.1029/2020JD033538
5. Lee, J., Shi, Y. R.*, Cai, C., Ciren, P., Wang, J., Gangopadhyay, A., & Zhang, Z.* (2021). Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. Remote Sensing, 13(3), 456, https://doi.org/10.3390/rs13030456