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FSB Directory

Fadel Megahed

Endres Associate Professor & Associate Professor & FSB Faculty Fellow

Information Systems & Analytics


Fadel Megahed

Contact Information

Office Hours

  • T 2:45-3:45
  • F 10-12
  • APPOINTMENTS CAN BE SCHEDULED AT https://calendly.com/fmegahed

Links

* Accessible version of PDF available upon request.

Profile

Academic Background

  • Ph.D., Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 2012
  • M.S., Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 2009
  • B.S., Mechanical Engineering, The American University in Cairo, 2008

Academic & Professional Experience

  • 07/22 - Current Endres Associate Professor, Famer School of Business, Miami University
  • 07/20 - Current Associate Professor, Department of Information Systems and Analytics, Miami University
  • 07/19 - 06/20 Neil R. Anderson Endowed Assistant Professor, Farmer School of Business, Miami University
  • 08/16 - 06/20 Assistant Professor, Department of Information Systems and Analytics, Miami University
  • 08/16 - Current Affiliate Assistant Professor, Department of Industrial and Systems Engineering, Auburn University.
  • 08/12 - 08/16 Assistant Professor, Department of Industrial and Systems Engineering, Auburn University.
  • 08/09 - 05/12 Graduate Assistant, Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University.
  • 06/07 - 08/07 Undergraduate Research Assistant, Institut fur Textiltechnik der RWTH Aachen (ITA), Aachen, Germany.

Recent Publications

  • Megahed, F. M., Jones-Farmer, L. A., Ma, Y., & Rigdon, S. E. (2022). Explaining the Varying Patterns of COVID-19 Deaths Across the United States: 2-Stage Time Series Clustering Framework. JMIR Public Health and Surveillance, 8(7), e32164.
  • Lamooki*, S. R., Hajifar*, S., Kang, J., Sun, H., Megahed, F. M., & Cavuoto, L. A. (2022). A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor. Applied Ergonomics, 102, 103732.
  • Ahady Dolatsara*, H., Chen, Y. J., Leonard, R. D., Megahed, F. M., & Jones-Farmer, L. A. (2021). Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice. Big Data, Ahead of Print, DOI: 10.1089/big.2021.0067.
  • Mehdizadeh*, A., Yazdi*, M. A. A., Cai*, M., Hu*, Q., Vinel, A., Rigdon, S. E., Davis, K. C., & 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.
  • Cai, M., Mehdizadeh, A., Hu, Q., Alamdar Yazdi, M. A., Vinel, A., Davis, K. C., Xian, H., Megahed, F. M. & Rigdon, S. E. (2021). Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling. Journal of Quality Technology, Ahead of Print, 1-19.

Selected Media Coverage

Honors & Awards

  • University Faculty Scholar, 2023.
  • FSB Research Fellow, 2023 - 2025.
  • Endres Associate Professor, Farmer School of Business, 2022-Current.
  • Student Recognition of Teaching Excellence Award, 2020.
  • Tenured and promoted to Associate Professor, 2020.
  • Neil R. Anderson Endowed Assistant Professor, Farmer School of Business, 2019-2020.
  • Outstanding Professor Award Nominee by the Miami University Associated Student Government, 2018 (campus-wide honor for a faculty who made a significant difference in students' lives and careers).
  • Received 13 Faculty Commendations, 2018-2020 (where graduating students identify faculty "who made a positive impact on your learning and development while at Miami.'')
  • Recipient of the Career Development Award from the Deep South Center for Occupational Health and Safety, 2012.
  • Recipient of the Mary G. and Joseph Natrella Scholarship from the Quality and Productivity Section of the American Statistical Association, 2012 ($4000).
  • Finalist, Gilbreth Memorial Fellowship awarded by the Institute of Industrial Engineers, 2011.
  • Co-Recipient of the Industrial and Systems Engineering Outstanding GTA Award, 2010.
  • Finalist, Paul E. Torgersen Award for Excellence in Graduate Student Research, 2010 (Third Best Master's Research in the College of Engineering for the academic year 2009/2010).

Biography

Dr. Fadel M. Megahed is a Miami University Faculty Scholar and the Endres Associate Professor of Information Systems & Analytics. He received his Ph.D. and M.S. in Industrial and Systems Engineering from Virginia Tech and a B.S. in Mechanical Engineering from the American University in Cairo.

His research focuses on creating new tools to store, organize, analyze, model, and visualize the large heterogeneous data sets associated with modern manufacturing, healthcare, and service environments. His work in these areas has been funded by Aflac, The American Society for Safety Engineers (ASSE) Foundation, GE Research, Gore, The National Institute for Occupational Safety and Health (NIOSH), and The National Science Foundation (NSF). Dr. Megahed has 49 peer-reviewed journal papers, 3 invited editorials/discussions, and 12 conference proceedings. His research findings and views have been covered in over 50 media articles. 

Dr. Megahed is the Editor of the Case Study Section for the Journal of Quality Technology. He has received numerous research and teaching awards. He was named a Miami University Faculty Scholar in 2023. He is currently the Endres Associate Professor (2022-2025) and an FSB Research Fellow (2023-2025).  He also received the Student Recognition of Teaching Excellence Award (Fall 2020) and 27 faculty commendations for impacting students' learning and development (2018-2023). Before joining Miami University, he received the Career Development Award from the NIOSH Deep South Center for Occupational Health and Safety (2013), and the Mary G. and Joseph Natrella Scholarship from the Quality and Productivity Section of the American Statistical Association (2012).

Courses

  • ISA 401 A 8:30-9:50 TR FSB 2037
  • ISA 401 B 10:05-11:25 TR FSB 2037
  • ISA 444 A 1:15-2:35 TR FSB 0028