Associate Professor
Department of Computing Science
University of Alberta
ardakanian@ualberta.[NULL]ca
I am an associate professor in the Department of Computing Science at the University of Alberta. My research addresses fundamental systems challenges in networked and cyber-physical systems, such as data centers, sensor networks, and energy systems. I develop and apply optimization, control, and machine learning techniques to improve the performance, reliability, and sustainability of these systems.
The Sustainable Computing Research Lab | Publications | Google Scholar
Omid Ardakanian is an Associate Professor in the Department of Computing Science at the University of Alberta and a Principal Investigator of Future Energy Systems. His research focuses on designing algorithms for performance monitoring and control of networked, embedded, and cyber-physical systems. He received the BSc in Computer Engineering from Sharif University of Technology in Iran, and the MMath and PhD in Computer Science from the University of Waterloo in Canada. Before joining UofA, he was a NSERC postdoctoral fellow at the University of California, Berkeley and the University of British Columbia. He currently serves as Treasurer for ACM SIGEnergy, Area Editor of Energy Informatics Review (EIR), and on the steering committee of ACM e-Energy.
Dr. Ardakanian is a recipient of the ACM SIGEnergy Rising Star Award, the ASTech Award for Outstanding Achievement in AI/ML Advancement: Energy and Environmental Innovation, and the University of Waterloo Outstanding Achievement in Graduate Studies Award. He won the 2024 ACM e-Energy Test of Time Award for his research that also received the Best Paper Award at the Fourth International Conference on Future Energy Systems (ACM e-Energy) in 2013. He also received the best paper award at ACM BuildSys 2016 and 2022, and IEEE Power and Energy Society General Meeting 2017.
Interested in joining my research group at the University of Alberta?
I am looking for motivated undergraduate, MSc, and PhD students who have a strong background in computer systems, optimization, and machine learning. If you are considering graduate studies at the University of Alberta, please review this page carefully before submitting your application through the graduate studies application portal.
Applicants are expected to hold a degree in Computer Science/Engineering, or a closely related field. Applicants from related disciplines should have completed core computer science coursework. PhD applicants are additionally expected to have demonstrated research experience. I generally look for evidence of research productivity, such as at least one publication in a reputable conference or journal. I encourage applications from women and individuals from equity-seeking groups.
If your background aligns with my research interests and you meet the criteria above, you may use the form provided below to share your information. While I carefully review all form submissions, I am unable to respond to individual email inquiries due to the high volume of requests. Selected candidates will be contacted for an interview.
Complete the Expression of Interest Form
Please note: This form is for identifying potential research matches only and does not replace the formal admissions process. Students who are interested in working with me should apply through the graduate studies application portal and list me as a potential supervisor in their application.