معرفی
Mohammad Ali Alamdar-Yazdi serves as an Associate Professor of Practice in the Operation Management & Business Analytics department at Johns Hopkins Carey Business School. Holding a PhD and MEng in Industrial and Systems Engineering along with an MS in Computer Science from Auburn University, he brings substantial technical expertise to his academic role.
His scholarly work spans three primary domains: healthcare analytics (focusing on algorithmic approaches to site-of-service referrals), transportation safety (analyzing commercial truck driver behavior through machine learning), and human-computer interaction (optimizing input devices and fatigue monitoring). Dr. Alamdar-Yazdi has published extensively in high-impact journals including BMC Health Services Research, Journal of Quality Technology, and Accident Analysis & Prevention.
His publication portfolio reveals a clear trajectory toward practical applications of machine learning in solving complex operational challenges, with recent work showing increased focus on healthcare systems and pharmaceutical supply chain optimization through his current $1.5M Department of Defense-funded project.
- Dean's Award for Faculty Excellence at Carey Business School (2022)
- Dean's Award for Faculty Excellence at Carey Business School (2023)
- Outstanding Ph.D. Student of Department of Industrial and Systems Engineering, Auburn University (2018)
With seven years of teaching experience educating over 3,000 graduate students, Dr. Alamdar-Yazdi has received consistently high evaluations (4.53/5.00 in 2024). He leads the Johns Hopkins Drug Supply Chain Data Dashboard project funded by $1.5M from the Department of Defense and $300K from the Johns Hopkins NEXUS Research Award. His practical contributions include developing FarsiClubs for Persian-speaking Clubhouse users and DRIIVE, a fuel optimization application that reduces consumption by up to 15%.
His technical proficiency spans Python, R, Tableau, MySQL, and Excel, which he effectively integrates into both research and classroom instruction through project-based courses like Data Visualization and Big Data Consulting Project.
