MUDASSIR MASOOD

K.F.U.P.M Box No. 8466, Dhahran – 31261,Saudi Arabia

Mobile:+966 507325600,email: ,

OBJECTIVE:

A position as a telecomengineer allowing me to use my knowledge in the fields of wireless communication and electrical engineering.

ACADEMIC:
  • MS in Electrical Engineering from King Fahd University of Petroleum and Minerals, Dhahran (Year:2005, Result:GPA 3.875/4.0)
  • Bachelors of Engineering in Computer Systems from NEDUniversity

of Engineering and Technology, Karachi (Year:2001, Result: 85%)

  • Intermediate from Adamjee Govt. Degree

ScienceCollege, Karachi (Year:1996, Result: 84%)

  • Matric from BVSParsiHigh School, Karachi (Year: 1994, Result: 89%)

COMMAND AND SKILLS:

  • Engineering: Digital Signal Processing, Digital Communication, WirelessCommunication, Digital System Design.
  • Languages: MATLAB, C, C++, Assembly Language for 8086 Family, Verilog HDL, LaTeX typesetting system.
  • Other: Windows, Unix.

EXPERIENCE:

  • King Fahd University of Petroleum & Minerals (Feb 22, 2003 to date).

Research Assistant

  • Extensive involvement in research related to digital signal processing - experience in object detection, recognition, and tracking.
  • Involvement in research activities with faculty related to wireless communications.
  • Responsible for teaching Electrical Engineering undergraduate labs.
  • Precience Technologies (Jan 1, 2002 to July 31, 2002).

QA Engineer

  • Participated in the creation of the state-of-the-art software for electronics - PCBNavigator and PartNavigator.
  • Programmed the Test plans for PCBNavigator and PartNavigator.
  • Accelerated the testing procedure with the introduction of Visual Test test scripts.
  • Recommended new enhancements to improve the tools structure.
  • Revamped the Help to strengthen client satisfaction and according to the international standards.
  • Petroman Training Institute(April 1, 2001 to August 31, 2001)

Lab Engineer

  • Responsible for conducting Electronics labs.
  • Taught C-language.

PROJECTS ACCOMPLISHED (In Masters):

  • Study and Simulation of the Error Performance of Noncoherent MFSK with Diversity on Correlated Fading Channels.

Channels characterised by different fading characteristics of Rayleigh, Ricean, and Nakagami were considered. The error performance of NMFSK was derived for these channels. In order to reduce signal fading a diversity reception system was designed and the system was simulated to verify derived results.

  • Study and Simulation of M-ary Signalling over Multipath Fading Channels and implementation of Viterbi algorithm for error correction.

A two-path channel characterised by Rayleigh fading was simulated. BPSK and QPSK modulation techniques were used to investigate the error performance. Effect of Additive White Gaussian Noise (AWGN) was also examined.Convolutional encoding and Viterbi decoding was implemented to improve the error performance.

  • Developeda Wavelet-domain Adaptive Filtering Algorithm of LMS.

Adaptive filters can be used to improve performance of a communication system by compensating for signal distortions. A wavelet-based LMS algorithm was developed which has an advantage of faster convergence to control signal distortion than the traditional algorithm.

  • Development of a Channel Identification System using Neural Networks.

Multilayer perceptron neural network was used to identify an AWGN-based channel. BPSK was used as the modulation scheme. It was shown that neural networks can be used to identify a channel characterized by additive white gaussian noise.

  • Proposed an improvement in a classical face recognition technique using Least Squares Principal Component Analysis.

The classical technique of PCA do not consider class information. A class-dependent PCA-based system using the method of Least-Squares was designed and simulated to show the improvement in performance.

  • Survey project on the Wavelet domain Digital Signal Processing Techniques.

Some of the signals that occur in nature can be better analyzed using wavelet-based digital signal processing. It has an advantage to localize events in both time and frequency simultaneously. Several DSP techniques were compared and the wavelet-based technique was shown to perform better.

MS THESIS:____________

Title: Multiscale Analysis Techniques in Pattern Recognition Systems

Summary: The objectivewas to improve classification accuracy of pattern recognition systems using the concept of Multiscale Analysis (MSA) when combined with Principal Component Analysis. The system was developed so as to make it invariant to several orientation problems.

TECHNICAL COURSES STUDIED (In Masters):

  • Digital Communications, Digital Signal Processing, Signal Detection & Parameter Estimation, Adaptive Filtering, Mathematical Methods for Engineers, Advanced Computer Vision, Linear Control Systems.

PUBLICATION:______

  • "An Eigeneyes Decomposition System for Face Recognition", Dr. Mohamed Deriche and Mudassir Masood, (2nd IEEE GCC Conference 2004, Manama, Bahrain)
  • "A Least-Squared Eigeneyes Decomposition System for Face Recognition", Mudassir Masood and Dr. Mohamed Deriche, (8thJCISJuly2005,Salt Lake City, USA)

AFFILIATIONS:

Organization / Role / Member since
Pakistan Engineering Council / Professional Engineer / June 2001
Institute of Electrical and Electronics Engineers (IEEE) / Student Member / January 2000
PERSONAL PROFILE:

Father’s Name:Masood Ali

Date of Birth:17th June 1979

Nationality: Pakistani

Religion: Islam

Resident of:Dhahran, Saudi Arabia

Marital Status:Single

REFERENCES:______

  • Dr. Mohamed Deriche, Associate Professor

Electrical Engg., King Fahd University of Petroleum & Minerals

Day Phone: +966 3 8601523

Email: