Directory

Fadel Megahed

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

  • 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 für Textiltechnik der RWTH Aachen (ITA), Aachen, Germany.

Recent Publications

  • * Denotes graduate student advised and ** denotes undergraduate student advised
  • 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, DOI: http://dx.doi.org/10.1016/j.apergo.2017.02.001.
  • Weng, B.*, Abraar, M.A.*, Megahed, F.M., 2017, "Stock Market One-Day Ahead Movement Prediction Using Disparate Data Sources", Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2017.02.041.  
  • Dag, A.*, Oztekin, A., Yucel, A.*, Bulur, S., Megahed, F.M., 2017, "Predicting Heart Transplantation Outcomes through Data Analytics", Decision Support Systems, 94, 42-52.
  • Dag, A.*, Topuz, M.K., Oztekin, A., Megahed, F.M., 2016, "A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival", Decision Support Systems, 86, 1-12.
  • Weese, M., Martinez, W., Megahed, F.M., Jones-Farmer, L.A., 2016, “Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective”, Journal of Quality Technology, 48(1), 4-27.
  • He, Z., Zuo, L., Zhang, M., Megahed, F.M., 2016, “An Image-Based Multivariate Generalized Likelihood Ratio Control Chart for Detecting and Diagnosing Multiple Faults in Manufactured Products”, International Journal of Production Research, 54(6), 1771-1784.

Honors & Awards

  • 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) - “Third Best Master’s Research in the College of Engineering for the academic year 2009/2010”

Biography

Dr. Fadel M. Megahed is an 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 30 published journal papers and 8 conference proceedings. He has reviewed for over 10 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

  • ISA321 A 8:30-9:50 TR FSB 2037
  • ISA 321 B 10:05-11:25 TR FSB 2037
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Contact Information

Office Hours

  • TR 12:30-2:30

Links

* Accessible version of PDF available upon request.