Secure Computation Laboratory

Charles H. Knapp Associate Professor Marten van Dijk


Kaleel Mahmood

MSc Student
Office: ITE 423


I am an electrical engineering and computer science researcher. I received my bachelors in electrical engineering in 2013, my masters in electrical engineering in 2016 and my masters in computer science in 2017, all from the University of Connecticut. I have worked on research projects in a wide variety of fields. My past work includes applying deep learning to physically uncloneable functions, deep learning for counterfeit integrated circuit detection, moving target defense for IoT devices, and 3D imaging using randomly distributed sensors. I am currently working on my PhD in electrical engineering at the University of California, Riverside.

Research Interests

  • Deep Learning
  • Physically Uncloneable Functions
  • Computer Vision and Image Processing


  • K. Mahmood, D. M. Shila, "Moving target defense for Internet of Things using context aware code partitioning and code diversification", 2016 IEEE 3rd World Forum on Internet of Things, pp. 329-330, 2016.
  • K. Mahmood, P. Carmona, S. Shahbazmohamadi, F. Pla, and B. Javidi "Real-time automated counterfeit integrated circuit detection using x-ray microscopy", Applied Optics vol. 54 D25-D32, 2015
  • K. Mahmood, K. Domrese, P. Carroll, H. Zhou, X. Xu, S. Zhou "Implementation and Field Testing of On-Demand Asynchronous Localization" Asilomar Conference on Signals, Systems and Computers, Nov. 3-6, 2013
  • P. Carroll, K. Mahmood, S. Zhou, H. Zhou, X. Xu, J.-H. Cui "On-Demand Asynchronous Localization for Underwater Sensor Networks" IEEE Transactions on Signal Processing vol.62 no.13 pp.3337-3348, July 1, 2014
  • P. Carroll, S. Zhou, K. Mahmood, H. Zhou, X. Xu, and J.-H. Cui " On-Demand Asynchronous Localization for Underwater Sensor Networks" , Proc. of IEEE/MTS OCEANS conference, Hampton Roads, Virginia, Oct. 14-19, 2012