Masoud Ardakani

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept


Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
(780) 492-2567
11-257 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5


Area of Study / Keywords

Communications Engineering


Masoud Ardakani received a BSc from Isfahan University of Technology in 1994, an MSc from Tehran University in 1997, and PhD from the University of Toronto in 2004, all in Electrical Engineering. He was a Postdoctoral Fellow at the University of Toronto from 2004 to 2005. His research interests are in the general area of wireless communications, advanced channel coding techniques, cloud storage and computing and applications of Information theory. He has served as an Associate Editor/Senior Editor for the IEEE Transactions on Communications, the IEEE Transaction on Wireless Communications and the IEEE Communications Letters in the past. Currently, he is an Editor-at-Large for the IEEE Transactions on Communications.


Research Interests:

  • Modern Coding Theory
  • Information theory
  • Wireless communication networks
  • Cloud storage and distributed computing
  • Applications of artificial intelligence in communication systems
  • Analysis and design of iterative algorithms

Current Research:

  • Modern channel coding for 5G networks (sponsor: TELUS and NSERC)
  • Wireless communication networks 
  • Distributed storage and cloud computing (sponsor: NSERC)
  • Applications of artificial intelligence in 5G wireless networks (sponsor: Huawei) 


ECE 485 - Digital Communications

Principles of digital communications; signal space concepts, digital modulation and demodulation, intersymbol interference, and pulse shaping. Design of optimal receivers; performance in the presence of channel noise. Introduction to source coding and channel coding. Prerequisites: ECE 342 or E E 387, and ECE 380 or E E 390. Credit may be obtained in only one of ECE 485 or E E 485.

ECE 583 - Digital Communications

Analysis and design of digital communication systems based on probability theory and signal space representation. Comparison of different modulation techniques in terms of performance and resource usage. Performance of various detection methods in AWGN and other types of channels.

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