Omid Ardakanian

I am an Assistant Professor in the Department of Computing Science at the University of Alberta. My research focuses on addressing systems challenges at scale using networked sensors, and distributed optimization and control algorithms.

Prospective students: I am looking for motivated students with a strong quantitative background to work with me on various research projects in the areas of IoT, Cyber-Physical Systems, and Energy Informatics. If you are interested in pursuing graduate studies at UofA, please check out this page before you submit an application. If you decide to send me an email, attach your CV and state why you would like to work with me and what projects you might be interested in. Include the word "serious" in the subject line to indicate that you have read this note. You can drop by my office if you are on campus.

Omid Ardakanian is an Assistant Professor in the Department of Computing Science at the University of Alberta and a Principal Investigator of Future Energy Systems. He received the Ph.D. in Computer Science at the University of Waterloo under the supervision of S. Keshav and Catherine Rosenberg in 2015. From 2015 to 2017, he was an NSERC postdoctoral fellow at UC Berkeley working with David Culler and Alexandra von Meier, and at the University of British Columbia working with Vincent Wong. During this time, he was affiliated with the California Institute for Energy and Environment. Dr. Ardakanian's research focuses on optimization and control of computer networks and cyber-physical systems. He received a 2015 University of Waterloo “Outstanding Achievement in Graduate Studies” award for his PhD thesis, and three best paper awards at IEEE PES General Meeting 2017, ACM BuildSys 2016, and ACM e-Energy 2013.

Jul. 2020 — I'm serving on the technical program committee of ACM BuildSys 2020 and IEEE GLOBECOM 2020 (SAC - SGCPLC).
Jun. 2020 — Our paper on adaptive congestion control for EV charging is accepted in ACM e-Energy 2020. Watch the video presentation.
May 2020 — I served on the technical program committee of International Conference on Parallel Processing (ICPP'20).
Feb. 2020 — I'm serving on the technical program committee of ACM e-Energy 2020 and am the co-organizer of a workshop on "Challenges and opportunities in the design and operation of energy storage systems".
Jan. 2020 — We had two papers accepted in ACM/IEEE ICCPS and IEEE ICC. Congratulations to Zishan, Moosa, and Evandro!
Dec. 2019 — I served on the technical program committee of IEEE ICC Smart Grid Communications 2020.
Nov. 2019 — A workshop paper and a poster accepted in ACM BuildSys 2019. Congratulations to Tianyu. Monir, and Leepakshi!
Oct. 2019 — One paper accepted in IEEE Smartgridcomm 2019.
Sept. 2019 — Our IEEE TSG paper entitled "Bayesian Learning-Based Harmonic State Estimation in Distribution Systems with Smart Meter and DPMU Data" is in press.
Jun. 2019 — EnergyBoost was one of the bast paper award finalists of ACM e-Energy 2019 [check out the photo].
Apr. 2019 — Two papers accpeted in ACM e-Energy 2019. Congratulations to Baihong, Mohammad, Tianyu and Zishan!
Mar. 2019 — Check out this blog post about our recent work presented in NIPS 2018 FEAP-AI4Fin workshop.
Feb. 2019 — I served on the technical program committee of the Tenth ACM International Conference on Future Energy Systems.
Jan. 2019 — Congratulations to Tianyu for having his first paper accepted in ACM/IEEE IoTDI 2019!
Jan. 2019 — Our IEEE TCNS paper entitled "On Identification of Distribution Grids" is in press.
Dec. 2018 — I served on the technical program committee of IEEE ICC Smart Grid Communications 2019.
Dec. 2018 — I delivered a talk on sparsity in distribution networks and how it facilitates system identification at ePerf workshop in Toulouse, France.
Oct. 2018 — I co-chaired "Data, Analytics, and Synchrophasors for Transparent Distribution Networks" Workshop at IEEE Smartgridcomm 2018.
Sept. 2018 — I served on the "AI and Future Energy Systems" panel of the International Symposium on Applications of Artificial Intelligence.
Jul. 2018 — Paper on Sparse Bayesian Learning for Harmonic State Estimation accepted in IEEE SmartGridComm 2018.
Apr. 2018 — Paper on data-driven occupancy modelling accepted in ACM e-Energy 2018.
Apr. 2018 — I am excited to kick off a collaboration with ATB Financial and be part of the their AI lab (read more about our four-year partnership between UAlberta and ATB).
Mar. 2018 — I currently serve as the Information Services Director of ACM EIG-ENERGY: Emerging Interest Group on Energy Systems and Informatics.
Jan. 2018 — I served on the technical program committee of the first International Workshop on Energy Market Engineering.
Dec. 2017 — I am a Guest Editor of IEEE Transactions on Smart Grid, Special Section on Theory and Application of PMUs in Power Distribution Systems.
Nov. 2017 — I served on the technical program committee of IEEE ICC Smart Grid Communications'18.
Sept. 2017 — I served on the technical program committee of ACM eEnergy'18.
Jul. 2017 — I am the publication chair of ACM eEnergy'18.
Jul. 2017 — I am excited to join the CS Department at the University of Alberta!
May 2017 — Received the Best Paper Award at IEEE PES General Meeting for our work on event detection and localization in distribution grids with PMUs [Photo].
Apr. 2017 — I served on the program committee of Energy Informatics & Management conference (EIM 2017).
Jan. 2017 — I served on the program committee of ACM eEnergy'17.
Nov. 2016 — Received the Best Paper Award at ACM BuildSys'16 for our paper "Non-Intrusive Techniques for Establishing Occupancy Related Energy Savings in Commercial Buildings".

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