Muhammad Irfan Anjum

Muhammad Irfan Anjum

Lecturer

Faculty of Information technology.

Muhammad Irfan Anjum is a Ph.D. candidate at Quaid-i-Azam University Islamabad, Pakistan. He did his M.Phil and M.Sc from the same institution. His Research interests include Signal Processing, Wireless Communication and Chaos Theory. He belongs to a small town in Bhalwal, district Sargodha, Punjab.

  1. Computer Organization and Assembly Language
  2. Computer Architecture
  3. Digital Logic and Design
  4. Basic Electronics

Education

PhD.
Quaid-i-Azam University Islamabad, Islamabad.
Comprehensive and Course work passed. Specialization in Digital Signal Processing.
Masters of Philosophy.
Quaid-i-Azam University Islamabad, Islamabad.
Specialization in Digital Signal Processing.
Masters of Sciences.
Quaid-i-Azam University Islamabad, Islamabad.
Specialization in Electronics.
Bachelor of Sciences.
University of Sargodha, Sargodha.
Studied Mathematics A, B and Physics.

Experiance

Lecturer
Faculty of Information Technology,
CS Department, University of Central Punjab, Lahore.
Visiting Lecturer
Quaid-i-Azam University Islamabad.
Visiting Lecturer
Federal Urdu University of Arts, Science and Technology, Islamabad.
Visiting Lecturer
Quaid-i-Azam University Islamabad.
Visiting Lecturer
Comwave Institute of Information & Technology Islamabad

M. Phil Thesis

Thesis Title: “Independent Chaotic Codes based Multiple Access’’.
In my M. Phil thesis, I have worked on Code Division Multiple Access (CDMA) and Independent Component Analysis. It is proposed that chaotic codes obtained through chaotic maps are statistically independent as compared with conventional Pseudo noise codes and performance can be improved if statistical independence of codes is utilized. To prove the point, chaotic codes were used in conjunction with Independent Component Analysis (ICA) based CDMA receivers. For a comparison, chaotic and gold codes were used in ICA based CDMA receivers and it was demonstrated, through simulations, that chaotic codes outperform conventional Pseudo noise codes when their Statistical independence is utilized

Skills

Programming:
Matlab, Python, Assembly (X86), C++.
Signal Processing
:FIR, IIR Filter designing, Channel estimation, Adaptive channel estimation, CDMA, MIMO.
Numerical Techniques:
Method of moments, Finite Element Method, Simpson’s rule, Gauss Elimination method, Bisection method, Secant method, Newton’s method, Interpolation.
Hardware:
Designing and analysis of circuits including RLC filters, oscillators, amplifiers, differentiators and integrators.
Software:
Visual Studio, Proteus, PSpice, Workbench, Latex.

irfan.anjum@ucp.edu.pk
+92-334-758645 Ext:
Faculty of Information Technology, University of Central Punjab

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