I am an associate professor in the Department of Computing Science at the University of Alberta. My research addresses systems challenges in sensor networks, data centers, and energy systems. I use optimization, control, and machine learning techniques to enhance the design and operation of networked, embedded, and cyber-physical systems.

The Sustainable Computing Research Lab | Publications | Google Scholar

Bio

Note to prospective students: I am always looking for motivated undergraduate, master’s, and PhD students interested in computer systems, particularly those with a strong background in optimization theory and machine learning. I especially encourage women and students from equity-seeking groups to apply to my group. If you are considering graduate studies at the University of Alberta, please read this page before submitting your application. You must have a degree in Computer Science, Computer Engineering, or a closely related discipline (in that case you should have completed core CS courses). Additionally, PhD applicants are expected to have at least one publication in a top-tier conference, workshop, or journal in your area of research.
If your background aligns with my research areas and you meet the criteria above, you may contact me by email. Please include your CV, a brief summary of your background and research interests, the name of one of my projects that you would like to contribute to, and the word "Houseplant" in the subject line. Please note that while I may not be able to respond to every inquiry, I do review all emails and application materials submitted through the official system. Promising candidates may be invited for an interview.