Directory

Fadel Megahed

Neil R. Anderson Endowed Assistant Professor & Assistant Professor

Information Systems & Analytics


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

  • 07/19 - Current‚  ‚ Neil R. Anderson Endowed Assistant Professor, Farmer School of Business, Miami University
  • 08/16 - Current 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 fƒƒ‚¼r Textiltechnik der RWTH Aachen (ITA), Aachen, Germany.

Recent Publications

  • Baghdadi, A.*, Cavuoto, L. A., Jones-Farmer, A., Rigdon, S. E., Esfahani, E. T., & Megahed, F. M. (2019). Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters.‚ Journal of Quality Technology, 1-25.‚  [Paper:‚ JQT‚ and Code:‚ GitHub].
  • Lu, L.*, Megahed, F. M., & Cavuoto, L. A. (2019). Interventions to Mitigate Fatigue Induced by Physical Work: A Systematic Review of Research Quality and Levels of Evidence for Intervention Efficacy.‚ Human factors. [Paper:‚ HF‚ and Code:‚ GitHub].
  • Weng, B.*, Lu, L.*, Wang, X., Megahed, F. M., & Martinez, W. (2018). Predicting short-term stock prices using ensemble methods and online data sources.‚ Expert Systems with Applications,‚ 112, 258-273.‚ [ESWA and Code: GitHub].
  • Baghdadi, A.*, Megahed, F. M., Esfahani, E. T., & Cavuoto, L. A. (2018). A machine learning approach to detect changes in gait parameters following a fatiguing occupational task.‚ Ergonomics,‚ 61(8), 1116-1129.‚ 
  • Weng, B.*, Martinez, W., Tsai, Y.-T.*, Li, C., Lu, L., Barth, J. R., & Megahed, F. M. (2018). Macroeconomic indicators alone can predict the monthly closing price of major US indices: Insights from artificial intelligence, time-series analysis and hybrid models.‚ Applied Soft Computing,‚ 71, 685-697.‚ 

Selected Media Coverage

  • Cincinnati Public Radio (10/14/19) Miami University 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
  • Arizona Republic (1/3/19) Research shows the value of wearable technology in reducing workplace injuries
  • Business Insurance (1/3/19) Safety study finds the majority of manufacturing workers tired on the job

Honors & Awards

  • Neil R. Anderson Endowed Assistant Professor, Farmer School of Business (2019-2024).
  • Outstanding Professor Award Nominee by the Miami University Associated Student Government (2018).
  • 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 ($4000; 2012).
  • 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) - ‚€‚œThird Best Master‚€‚™s Research in the College of Engineering for the academic year 2009/2010‚€‚

Biography

Dr. Fadel M. Megahed is the Neil R. Anderson Endowed Assistant Professor of Information Systems & Analytics at Miami University. 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 current 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 have been recently been funded by Aflac, The American Society for Safety Engineers (ASSE) Research Foundation, The Proctor and Gamble (P&G) Fund of the Greater Cincinnati Foundation, Amazon Web Services (AWS), Windows Azure (Microsoft), The NIOSH Deep South Center for Occupational Safety and Ergonomics, and The National Science Foundation (NSF). Dr. Megahed has 32 published journal papers and 8 conference proceedings. He has reviewed for over 20 academic journals including Decision Support Systems, Expert Systems with Applications, Journal of Quality Technology, Naval Research Logistics, Reliability Engineering and Systems Safety, Journal of Manufacturing Systems, and IIE Transactions.  Dr. Megahed is the recipient of 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 C 8:30-9:50 TR FSB 2050
  • ISA 401/501 D 10:05-11:25 TR FSB 2050
Fadel Megahed

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* Accessible version of PDF available upon request.