Dr. Maher Maalouf

Dr. Maher Maalouf

Assistant Professor, Department of Industrial and Systems Engineering

Address: P.O.Box 127788, Abu Dhabi, UAE

Telephone: +971-(0)2-5018566

Email: maher.maalouf@ku.ac.ae


  • Ph.D, Industrial Engineering, University of Oklahoma (USA), 2009
  • MS., Industrial Engineering, University of Oklahoma (USA), 2004
  • B.A., Business Administration – Management Information Systems, University of Oklahoma (USA), 2001
  • Probability & Statistics
  • Operations Research
  • Simulation Analysis & Design
  • Operations Management
  • Applied Operations Research
  • Data Mining & Kernel Methods
  • Supply Chains & Logistics Systems


  • Maalouf, M. and Siddiqi, M.  Weighted Logistic Regression for Large-Scale Imbalanced and Rare Events Data.  Knowledge-Based Systems.  2014;59:142-148.
  • Maalouf, M., Khoury, N., J. Laguros, and Kumin, H. Support Vector Machine to Predict the Performance of Stabilized Aggregate Bases Subject to Wet-Dry Cycles.  International Journal for Numerical and Analytical Methods in Geomechanics.  2012;36 (6):675-696.
  • Maalouf, M. and Trafalis, T. B.  Robust Weighted Kernel Logistic Regression in Imbalanced and Rare Events Data.  Computational Statistics and Data Analysis.  2011;55 (1):168-183.
  • Maalouf, M.  Logistic Regression in Data Analysis: An Overview.  International Journal of Data Analysis Techniques and Strategies. 2011;3(3):281-299.
  • Maalouf, M., Trafalis, T. B. and Adrianto, I.  Kernel Logistic Regression Using Truncated Newton Method. Computational Management Science. 2011;8(4):415-428.
  • Tokgoz, E., Maalouf, M. and Kumin, H.  A Hessian Matrix for Functions with an Integer and a Continuous Variable. International Journal of Pure and Applied Mathematics. 2009;57(2):209-218.
  • Maalouf, M., Khoury, N., and Trafalis, T. B.  Support Vector Regression to Predict Asphalt Mix Performance.  International Journal for Numerical and Analytical Methods in Geomechanics.  2008;32(16):1989–1996.