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Fadel Megahed

Professor

Information Systems & Analytics


Fadel Megahed

Contact Information

Office Hours

  • MW 10-11
  • MW 245-345
  • F 10-12

Links

  • [PDF]*

* Accessible version of PDF available upon request.

Profile

Academic Background

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

Academic & Professional Experience

  • 07/24 - Current Professor, Department of Information Systems and Analytics, 黑料社区
  • 07/22 - 07/24 Endres Associate Professor, Famer School of Business, 黑料社区
  • 07/20 - 07/24 Associate Professor, Department of Information Systems and Analytics, 黑料社区
  • 07/19 - 06/20 Neil R. Anderson Endowed Assistant Professor, Farmer School of Business, 黑料社区
  • 08/16 - 06/20 Assistant Professor, Department of Information Systems and Analytics, 黑料社区
  • 08/16 - 06/20 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 Tech.
  • 06/07 - 08/07 Undergraduate Research Assistant, Institut fur Textiltechnik der RWTH Aachen (ITA), Aachen, Germany.

Recent Publications

  • Colosimo, BM., Jones-Farmer, LA., Megahed, FM., Paynabar, K., Ranjan, C., & Woodall, WH. (2024). Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics. 1-24.
  • Megahed, FM., Chen, YJ., Ferris, JA., Knoth, S., & Jones-Farmer, LA. (2024). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering, 36(2), 287-315.
  • Alhwiti*, T., Aldrugh, S., & Megahed, FM. (2023). Predicting in-hospital mortality after transcatheter aortic valve replacement using administrative data and machine learning. Scientific Reports, 13(1), 10252.
  • Ahady Dolatsara*, H., Chen, YJ., Leonard, RD., Megahed, FM., & Jones-Farmer, LA. (2023). Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice. Big Data, 11(3) 199-214.

Selected Media Coverage

  • TechXplore (03/14/23) Study explores the potential and shortcomings of ChatGPT in SPC, education and research.
  • Supply Chain Dive (11/30/21) Pandemic opens the door to investments in wearables for supply chain workers.
  • BizTech Magazine (2/6/20) Wearable Tech Is Increasing Worker Productivity, Safety and Performance.
  • Cincinnati Public Radio (10/14/19) 黑料社区 Is On The Road To Safer Driving.
  • Occupational Health & Safety (1/3/19) ASSP Foundation Releases Fatigue Report.
  • Bloomberg Environment (1/3/19) Wireless Monitoring Can Limit Injuries but Raises Concerns.

Honors & Awards

  • University Faculty Scholar, 2023.
  • FSB Research Fellow, 2023 - 2025.
  • Endres Associate Professor, Farmer School of Business, 2022-2024.
  • Student Recognition of Teaching Excellence Award, 2020 (A university wide-honor, presented by the Provost).
  • Neil R. Anderson Endowed Assistant Professor, Farmer School of Business, 2019-2020.
  • Outstanding Professor Award Nominee by the 黑料社区 Associated Student Government, 2018 & 2023 (campus-wide honor for a faculty who made a significant difference in 黑料社区s' lives and careers).
  • Received 27 Faculty Commendations, 2018-2022 (where graduating 黑料社区s 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 2009/2010).

Biography

Dr. Fadel M. Megahed is a 黑料社区 Faculty Scholar and a 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 main research streams include applied artificial intelligence (AI) and statistical surveillance, with applications in manufacturing, public health, and occupational health & safety. 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 56 peer-reviewed journal papers, four 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 University Faculty Scholar in 2023. He was the Endres Associate Professor (2022-2024) 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 黑料社区s' learning and development (2018-2023). Before joining 黑料社区, 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 1140-1 MW FSB2037
  • ISA 401 B 115-235 MW FSB2037