Omid Ardakanian, PhD

Assistant Professor, Faculty of Science - Computing Science

Contact

Assistant Professor, Faculty of Science - Computing Science
Email
ardakanian@ualberta.ca
Address
320 Athabasca Hall
9119 - 116 St NW
Edmonton AB
T6G 2E8

Overview

Area of Study / Keywords

Networks Performance Evaluation Cyber-Physical Systems Internet of Things


About

Academic Employment

  • Assistant Professor, University of Alberta, Canada
  • Post-doctoral Fellow, University of British Columbia, Canada
  • Post-doctoral Fellow, University of California at Berkeley, USA

Education

  • Ph.D., Computer Science, University of Waterloo, Canada
  • M.Math, Computer Science, University of Waterloo, Canada
  • B.Sc., Computer Engineering, Sharif University of Technology, Iran

Research

My research focuses on the challenges of designing, analyzing, and operating smart energy systems, such as transportation systems, power grids, and buildings that are equipped with sensors, computers, and networks. These critical systems traditionally have limited monitoring, diagnostic, and control capabilities; thus, they cannot adapt to environmental, societal, and technological changes or deal with uncertainty in a timely and efficient manner. My research aims to develop theoretical and computational techniques to address these interdisciplinary and complex systems challenges at scale through the use of information and communication technology, and analysis of the available data. 


For more information please visit my website.

Courses

CMPUT 275 - Introduction to Tangible Computing II

This is part 2 of a 2 sequence intensive introduction to Computing Science. Part 2 expands to add object-oriented programming, a higher level language (Python), and more complex algorithms and data structures such as shortest paths in graphs; caching, memoization, and dynamic programming; client-server style computing; recursion; and limited distributed of computation tasks between the Arduino platform and the traditional desktop in order to explore design tradeoffs. Prerequisite: CMPUT 274. Note: this course is taught in studio-style, where lectures and labs are blended into 3 hour sessions, twice a week. Enrollment is limited by the capacity of the combined lecture/lab facilities. Credit cannot be obtained for CMPUT 275 if one already has credit for any of CMPUT 174, 175, or 201, except with permission of the Department.

Winter Term 2021
CMPUT 644 - Topics in Computing Science

Fall Term 2020

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