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Name Dr. Muhammad Obaid Ullah
Designation Associate Professor
Department Electrical Engineering (Taxila)
Highest Qualification
Specialization Communication System, Signal Processing
Phone No 00 92 51 9047 545
Cell No
Fax No
Email [email protected]
  • PhD EE (Manchester)
  • MSc EE (Taxila)
  • BSc EE (Hons) (Taxila)
Currently working on Channel Estimation for OFDM systems
  1. Amjad Mahmood, Muhammad Obaid Ullah, and Muhammad Haroon Yousaf, “Proposed Real-Time Feature Extraction on Field Programmable Gate Array For Human Detection”, NED University Journal of Research - Applied Sciences, Vol. XIV, No. 2, pp 47-59, 2017.
  2. Zohaib Khan, Usman Zabit, Olivier Bernal, Muhammad Obaid Ullah, and Thierry Bosch, “Adaptive Cancellation of Parasitic Vibrations Affecting a Self-Mixing Interferometric Laser Sensor”, IEEE Transactions on Instrumentation and Measurement, Vol. 66, Issue: 2, pp 332-339, Feb. 2017.
  3. Zubair Bashir, Gulistan Raja, and M. Obaid Ullah, “A Video Enhancement Algorithm For Low-Lighting Environment Using Field Programmable Gate Array (FPGA) Architecture”, NED University Journal of Research – Applied Sciences, Vol. XIII, No. 4, pp 81-89, 2016. 
  4. Hafiz Muhammad Obaid, Muhammad Khawar Islam, and Muhammad Obaid Ullah, “Simulation experiments to generate Broadband Chaos Using Dual-Wavelength Optically Injected Fabry-Perot Laser”, Journal of Modern Optics, Vol. 63, No. 15, pp 1500-1505, 2016.
  5. M. Obaid Ullah and E. Alsusa, “A Virtually Blind Spectrum Efficient Channel Estimation Technique for MIMO-OFDM Systems”, Technical Journal University of Engineering & Technology, Taxila, Pakistan, Vol. 20, No. III, pp 91-98, 2015.
  6. M. O. Ullah and E. Alsusa, “An Algorithm For Generating Unique Pilot Sequences That Enhance Joint Channel And Control Signal Estimation”, IET Electronics Letters, Vol. 48, Issue 18, pp 1163-1165, August 2012.

 

  • Analog and Digital Communications
  • Digital Image Processing
  • Digital Logic Design
  • Digital Signal Processing
  • Discrete Mathematics
  • Signals and Systems
  • Electromagnetic Field Theory
  • Probability and Random Variables