Majid Khabbazian

Associate Professor, Faculty of Engineering - Electrical & Computer Engineering Dept


Associate Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
(780) 248-1852
5-289 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5


Area of Study / Keywords

Communications Engineering Computer Engineering


Majid Khabbazian received his BSc degree in computer engineering from Sharif University of Technology, and his PhD degree in electrical and computer engineering form University of British Columbia, respectively. He completed a postdoctoral fellowship at MIT Computer Science and Artificial Intelligence Lab, where he worked in the theory of distributed systems group. His research interest is in designing fast, efficient and secure methods for wireless networks and distributed systems.


Research Interests

  • Blockchain
  • Security and privacy
  • Distributed systems

Current Research

  • Blockchain
  • IoT


ECE 210 - Introduction to Digital Logic Design

Boolean algebra, truth tables, Karnaugh maps. Switching devices and their symbology with an introduction to NAND and NOR logic. Number systems, codes, minimization procedures, synthesis of combinational networks. Synchronous sequential circuits, flip-flops, counters. Arithmetic circuits. Introduction to computer-aided design and simulation tools for digital design and implementation. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar. Credit may be obtained in only one of ECE 210, E E 280 or CMPUT 329.

ECE 340 - Discrete Time Signals and Systems

Discrete time signals and systems; Sampled signals and sampling theorem, aliasing, A/D converter; Z-transform, stability analysis; Discrete-time Fourier transform; Discrete Fourier transform, leakage, spectral analysis; Digital filter design, filter structure. Prerequisite: ECE 240 or E E 238. Credit may be obtained in only one of ECE 340 or E E 338.

ECE 582 - Information Theory and Channel Coding

Information theory as applied to digital signals. Source coding. The channel coding theorem, linear error control codes, and algebraic error correction coding. Concatenation of codes and iterative decoding.

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