Muhammad Islam, Ph.D.

Muhammad Islam, Ph.D.

Muhammad Islam, Ph.D.


Department: Systems Engineering

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Dr. Muhammad F. Islam is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. He is an INCOSE Certified Systems Engineering Professional (CSEP), Project Management Professional (PMP) and Certified Information Systems Security Professional (CISSP). Dr. Islam has over 17 years of technical and leadership experience in systems architecture, development, cloud computing, security engineering, data analytics, systems lifecycle management and business process re-engineering. He led multiple task orders within the US Department of Defense (DoD), Department of Treasury, and Department of Veterans Affairs. These projects ranged from $6M to $14M in annual funding, and he oversaw them from initiation to project execution and delivery for service-oriented IT products. Dr. Islam earned his Ph.D. in Systems Engineering from the George Washington University, Washington, DC. His dissertation research focused on applying probabilistic risk analysis models to analyze the operational reliability of cloud/distributed computing architectures. He received a B.S. in Electrical Engineering from West Virginia University and a M.S. in Electrical Engineering from the University of South Alabama. Dr. Islam is a member of the ABET Engineering Accreditation Commission (EAC) for Systems Engineering.


  • Islam, M. N., M. Islam, and K. Shahrabi. 2015. “Robust Information Security System Using Steganography, Orthogonal Code and Joint Transform Correlation.” International Journal for Light and Electron Optics (Optik) 23 (126), (December 2015): 4026-4031.
  • Islam, M. F., S. Sarkani, and T. A. Mazzuchi. 2013. “A Quantitative Risk Analysis Framework for Evaluating and Monitoring Cloud Computing Security.” Journal of Information Systems Technology and Planning (Intellectbase) 6 (16), (July 2013): 45-63.
  • Islam, M. N., M. Islam, and K. Shahrabi. 2013. “Enhanced information security employing orthogonal code, steganography, and joint transform correlation.” Optical Pattern Recognition XXIV, 8748 (April 2013): doi: 10.1117/12.2016394.
  • Islam, M. F., and M. Islam. 2012. “A secure approach for encrypting and compressing biometric information employing orthogonal code and steganography.” Optical Pattern Recognition XXIII, 83980I (April 2012): doi: 10.1117/12.918648
  • Islam, M. F., M. Alam, and M. Elbakary. 2007. “Pattern recognition in hyperspectral imagery using one dimensional maximum average correlation height filter and Mahalanobis distance.” Automatic Target Recognition XVII, 65660I (April 2007): doi: 10.1117/12.717855
  • Islam, M. F., and M. Alam. 2006. “Improved clutter rejection in automatic target recognition and tracking using eigen-extended maximum average correlation height (EEMACH) filter and polynomial distance classifier correlation filter (PDCCF).” Optical Pattern Recognition XVII, 62450B (April 2006): doi: 10.1117/12.666256