Mohammad Ali Alamdar Yazdi is an Associate Professor of Practice at the Johns Hopkins Carey Business School. Since joining Johns Hopkins in 2018, he has taught and developed courses and workshops that apply data visualization, analytics, artificial intelligence, and machine learning to real-world business problems. His teaching emphasizes experiential and project-based learning, including industry-sponsored analytics projects that give students opportunities to address complex, real-world challenges. His research interests include data visualization, artificial intelligence and machine learning, and healthcare analytics, with recent work applying data and AI to healthcare and pharmaceutical supply chain challenges.
Education
- PhD, Industrial Systems Engineering, Auburn University
- MS, Computer Science and Software Engineering, Auburn University
- MEng, Industrial and Systems Engineering, Auburn University
Research
Selected publications
- Socal, M. P., Sun, Y., Ballreich, J., Acha, J., Alamdar Yazdi, M. A., Dai, T., & Dada, M. (2026). Potential impact of tariffs on active pharmaceutical ingredients on the price of US-made generic drugs. Health Affairs Scholar, 4(2), qxaf247
- Sun, Y., Ballreich, J., Acha, J., Modi, R., Alamdar Yazdi, M. A., Dada, M., Dai, T., Anderson, A., & Socal, M. P. FDA Drug Quality Assurance Inspections: Frequency, Outcomes, and Time to Reinspection, 2008–2025. Health Affairs Scholar. Accepted for publication.
- Dada, M., Vishal Mundly, V., Chambers, C., Alamdar Yazdi, M. A., Ha, C., Toporcer, S., Zhou, Y., Gan, Y., Xing, Z., Mooney, M., Smith, E., Kumian, E., Williams, K. (2022). Managing prior approval for site-of-service referrals: an algorithmic approach. BMC Health Services Research, 22(1), 1-7.
- Cai, M., Mehdizadeh, A., Hu, Q., Alamdar Yazdi, M. A., Vinel, A., Davis, K. C., ... & Rigdon, S. E. (2022). Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling. Journal of Quality Technology, 54(4), 466-484.
- Mehdizadeh, A., Alamdar Yazdi, M. A., Cai, M., Hu, Q., Vinel, A., Rigdon, S. E., ... & Megahed, F. M. (2021). Predicting unsafe driving risk among commercial truck drivers using machine learning: lessons learned from the surveillance of 20 million driving miles. Accident Analysis & Prevention, 159, 106285 (1-12).
- Alamdar Yazdi, M. A., Negahban, A., Cavuoto, L., & Megahed, F. M. (2019). Optimization of split keyboard design for touchscreen devices. International Journal of Human–Computer Interaction, 35(6), 468-477.
- Mohabbati-Kalejahi, N., Alamdar Yazdi, M. A., Megahed, F. M., Schaefer, S. Y., Boyd, L. A., Lang, C. E., & Lohse, K. R. (2017). Streamlining science with structured data archives: insights from stroke rehabilitation. Scientometrics, 113, 969-983.
- Maman, Z. S., Alamdar Yazdi, M. A., Cavuoto, L. A., & Megahed, F. M. (2017). A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Applied Ergonomics, 65, 515-529.
Teaching
Current
- Business Analytics
- Data Science: Big Data Consulting Project
- Data Visualization
- Python for Data Analysis
Previous
- Data Analytics
- Simulation and Strategic Options
- Statistical Analysis
Honors and distinctions
- Dean’s Award for Faculty Excellence at Carey Business School, 2022 & 2023
- Outstanding PhD Student of Department of Industrial and Systems Engineering, Auburn University, 2018