Mohammad Ali Alamdar Yazdi

Mohammad Ali Alamdar Yazdi, PhD

Assistant Professor of Practice
DisciplineOperations Management & Business Analytics
DisciplineInformation Systems
Areas of InterestData Analytics, Data Visualizations, Statistical Analysis

Mohammad Ali Alamdar Yazdi is an Assistant Professor of Practice at the Johns Hopkins Carey School Business. He holds an MS in Computer Science, an MEng and a PhD in Industrial and Systems Engineering, all from the Auburn University. He received a bachelor's degree in Industrial Engineering from Sharif University of Technology, Iran. He is interested in Data Analytics and Data Visualizations. 

    Education

    • Ph. D, Industrial Systems Engineering, Auburn University
    • MS, Comp Science and Software Engineering, Auburn University
    • MS, Industrial and Systems Engineering, Auburn University
    • BS, Industrial Engineering, Sharif University of Technology

    Research

    Selected publications
    • Alamdar Yazdi, M.A., Negahban, A., Megahed, F.M., Cavuoto, L.A., 2018 “An Integer Programming Approach to Optimize Typing Method and Design of Touchscreen Keyboards on Smartphones”, International Journal of HumanComputer Interaction, DOI:https://doi.org/10.1080/10447318.2018.1464255.
    • Mohabbati-Kalejahi, N., Alamdar Yazdi, M.A., Megahed, F.M., Schaefer, S.Y., Boyd, L.A., Lang, C.E., Lohse, K.R., 2017, “Streamlining the Scientific Method with Structured Data Archives: Data-Driven Insights from the Stroke Rehabilitation Literature”, 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
    • Simulation and Strategic Options
    • Data Analysis
    • Data Visualization

    Honors and distinctions

    • Outstanding Ph.D. Student of Department of Industrial and Systems Engineering, Auburn University, 2018