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.
August 08, 2023
Congrats to Ali Zeynali for receiving Thesis Proposal Writing Fellowship Award from CICS!
July 07, 2023
Congratulations to Roozbeh Bostandoost for having his first paper selected as a best paper candidate at ACM e-Energy 2023!”
May 20, 2023
We are organizing a workshop on Learning-augmented Algorithms: Theory and Applications (LATA) at SIGMETRICS 2023.
April 14, 2023
Congrats to Adam Lechowicz for being awarded US Department of Energy Computational Science Graduate Fellowship.
April 10, 2023
Mohammad will deliver an invited talk The Workshop on Teaching Performance Analysis of Computer Systems (TeaPACS) at SIGMTERICS 2023.
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.
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.