Hamood Ur Rehman, Ph.D.

Assistant Professor,
Electrical and Computer Engineering
Dhanani School of Science & Engineering
hamood.rehman@sse.habib.edu.pk

Education

  • PhD in Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia (2019)
  • MS in Telecommunications, KFUPM, Saudi Arabia (2009)
  • BS in Electronics, GIK Institute of Engineering Sciences and Technology, Pakistan (2000)

Research

  • Focus areas: AI/ML, signal processing, and IoT.
  • Developed the Qalam Gen AI Processor for localized inference of large language models.
  • Extensive work on Federated Learning, deep learning applications, and neural architectures.
  • Developed compression algorithms for seismic signal processing using functional quantization and time-frequency frames.

Biography

Dr. Hamood ur Rehman Khan is an educator, researcher, and industry professional with over 12 years of teaching experience in Electrical Engineering. He is an Assistant Professor at Sir Syed-CASE-IT and part of the research staff at the Center for Advanced Research in Engineering (CARE).

Holding a Ph.D. in Signal Processing and Information Theory from KFUPM, he has contributed to research in communications, information theory, and stochastic signal processing. Dr. Hamood has taught and developed courses on Signals and Systems, Digital Signal Processing, Machine Learning, and AI, blending academic rigor with industry insights.

Currently, he is working on a silicon project for Generative AI involving Large Language Models. Passionate about bridging academia and industry, Dr. Hamood is dedicated to advancing innovation and interdisciplinary learning in his field.

Publications

Refereed Journals

  • Lightweight privacy-preserving federated deep intrusion detection for industrial cyber-physical systems (IEEE Journal, 2024).
  • Functional Quantization-Based Data Compression in Seismic (Springer, 2018).
  • M. A. Landolsi, Hamood Khan, A. S. Al-Ahmari, Ali H. Muqaibel, “On the performance of wireless sensor network time difference of arrival localization under realistic interference and timing estimation errors,” in International Journal of Distributed Sensor Networks 2019, Vol. 15(2)

Book Chapters

  • Performance analysis of time-of-arrival mobile positioning in wireless cellular CDMA networks (Trends in Telecommunications Technologies, IntechOpen, 2010).

Patents

  • Method of Compressing Seismic Waves Using Gabor Frames (2021).
  • Functional Quantization Based Data Compression in Seismic Acquisition (2019).

Conference Publications

  • Modeling and analysis of delay-locked loop tracking with quadrature-spread DSSS signals (CoDIT, 2016).
  • Hamood Khan, M. Adnan Andalusi, “Discrete-Time DLL Tracking of Quadrature-spread CDMA Signals over Rayleigh Fading Channels”, International Conference on Signal Processing and Telecommunications, ICSPT’2013, March 24-26, 2013
  • Khan, H.u.R., Khan, F. (2025). Rate Distortion Analysis of Wavefield Coding in Wireless Geophone Networks. In: Li, X., Liu, Y., Wu, F. (eds) Smart Grid and Innovative Frontiers in Telecommunications. SmartGift 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-031-78806-2_4
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