The SOLAR (Sustainability, Optimization, Learning, and Algorithms Research) Lab investigates topics centered around carbon-intelligent computing (application) and data-driven online optimization (theory). In the SOLAR Lab, we develop rigorous algorithms using data-driven online optimization and learning tools that are applicable in several domains such as data center energy optimization, electricity market, electric vehicles, smart energy systems, and networking applications such as multimedia networking and edge/cloud networking.
Recent News
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November 22, 2024Congrats to Cooper Sigrist for receiving Thesis Proposal Writing Fellowship Award from CICS!
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November 11, 2024Congratulations to Russell Lee for successfully defending his Ph.D. dissertation on “Learning-Augmented Online Algorithms for Energy Optimization.”
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September 01, 2024Xutong Liu joined CMU as a postdoc in Fall 2024. Congrats Xutong!
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August 30, 2024Mohammad gave an invited talk at Data-Driven Decision Processes: From Theory to Practice at TTIC.
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May 29, 2024Jinhang Zuo will join the Department of Computer Science at City University of Hong Kong as a tenure-track assistant professor in Fall 2024. Congrats Jinhang!
Open Positions
We are actively looking for well-motivated and talented students and postdocs to join our research group. If interested, please see our recent publications and active research projects, and if still interested please apply to our graduate program and mention our lab name.
Funding support
Our research is supported by a Google Research Faculty Award, an NSF CAREER Award, and other grants from NSF (CNS-2102963, CNS-2106299, CPS-2136199, NGSDI-2105494, CNS-1908298), Department of Energy, Amazon, VMWare, and Adobe.
