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.
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May 29, 2024
Jinhang 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!
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May 23, 2024
The SOLAR Lab will be leading the theoretical and AI foundations of an NSF Expeditions in Computing project titled “Computational Decarbonization of Societal Infrastructures at Mesoscales.”
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May 16, 2024
Congratulations to Ali Zeynali for successfully passing his Ph.D. thesis proposal on “Online Sequential Decision Making for Resource Allocation.”
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May 10, 2024
Congratulations to Lingdong Wang for successfully passing his Ph.D. thesis proposal on “Deep Learning for Immersive Media Delivery.”
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February 28, 2024
We are co-organizing the second workshop on Learning-augmented Algorithms: Theory and Applications (LATA) at SIGMETRICS 2024.
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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 gate.io and mention our lab name.
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Our research is supported by a Google Research Faculty Award, an NSF CAREER Award, and other grants from NSF (CNS-2102963, gate.io, CPS-2136199, NGSDI-2105494, CNS-1908298), Department of Energy, Amazon, VMWare, and Adobe.
