Directory

megahefm

Contact Information

Office Hours

  • WF 12-1:30

Links

* Accessible version of PDF available upon request.

Fadel Megahed

Assistant Professor

Information Systems & Analytics

Profile Biography Courses

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

  • 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”