The SOLAR (Sustainability, Optimization, Learning, and Algorithms Research) Lab develops the algorithmic foundations for sustainable, reliable, and adaptive computing systems. As AI reshapes digital infrastructure, future systems must make intelligent decisions under uncertainty, adapt to changing conditions, and operate within real-world resource constraints. Our research develops tools for learning, optimization, and coordination that connect rigorous theoretical guarantees to practical systems across data centers, edge/cloud platforms, smart energy infrastructure, and adaptive networks. By studying the growing interaction between AI models, computing systems, and energy infrastructure, we aim to help build next-generation digital infrastructure that is efficient, resilient, and environmentally responsible.
Recent News
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September 05, 2026The Sustainable Compute & AI Infrastructure (SCAI) Research Symposium will take place at UMass Amherst on September 17–18, 2026, bringing together researchers and leaders from academia, industry, government, and utilities to explore sustainable AI infrastructure through talks, panels, and poster sessions. See the symposium website for the agenda and speaker lineup.
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September 04, 2026Congratulations to Lingdong Wang on successfully defending his Ph.D. dissertation!
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June 01, 2026Congratulations to Ali Zeynali on successfully defending his Ph.D. dissertation and joining Databricks as an AI Software Engineer!
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May 15, 2026Congratulations to Xuchuang Wang on joining the Department of Computer Science at Hong Kong Baptist University as an Assistant Professor!
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January 19, 2026We’ve launched Research in the AI Era, a new seminar series on how AI is reshaping the research lifecycle across computer science—see details and the schedule at here.
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 (SaTC-2512128, CNS-2533814, Expeditions-2325956, CNS-2102963, CNS-2106299, CPS-2136199, NGSDI-2105494, CNS-1908298), Department of Energy, Amazon, VMWare, and Adobe.
