Omid Ardakanian, PhD

Area of Study / Keywords

Cyber-Physical Systems Internet of Things Sustainability Security and Privacy

About

Academic Employment

• Associate Professor, University of Alberta, Canada
• Assistant Professor, University of Alberta, Canada
• Postdoctoral Fellow, University of British Columbia, Canada
• Postdoctoral 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 addresses systems challenges in different domains, from sensor networks and data centres to energy systems. Specifically, I use optimization, control, and machine learning techniques to enhance the design and operation of networked, embedded, and cyber-physical systems.

CMPUT 313 - Computer Networks

Introduction to computer communication networks; protocols for error and flow control; wired and wireless medium access protocols; routing and congestion control; internet architecture and protocols; multimedia transmission; recent advances in networking. Prerequisites: CMPUT 201 and 204, or 275; and one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181. Corequisite: CMPUT 379.

CMPUT 379 - Operating System Concepts

Introduction to the structure, components, and concepts behind modern general-purpose operating systems. Processes: process state transitions; operations on processes; interrupt processing; multiprocessor considerations; resource allocation; synchronization; critical sections and events; semaphores; deadlock: avoidance, detection, and recovery; memory management; virtual memory; paging and segmentation; page replacement strategies; working sets; demand paging; process scheduling; scheduling algorithms; file system functions; file organization; space allocation; virtual machines. Prerequisites: CMPUT 201 and 204, or 275; one of CMPUT 229, E E 380 or ECE 212.

CMPUT 499 - Topics in Computing Science

This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites for each section may differ and are defined by the instructor in the course outline.

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