Research

I direct the SOLAR (Sustainability, Optimization, Learning, and Algorithms Research) Lab. Our research is centered on 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. Our research is supported by a Google Research Faculty Award, an NSF CAREER Award, and other grants from NSF, Amazon, Adobe, and VMWare.

Awards and Honors

Prospective Students and Postdocs

We are actively looking for well-motivated and talented students and postdocs to join our research group. If interested,  please apply to our grad program and mention my name. 

    1. Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John Lui, Don Towsley, and Danny Tsang, The Online Knapsack Problem with Departures, in Proc. of ACM SIGMETRICS 2023.
    2. Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley, Hierarchical Learning Algorithms for Multi-scale Expert Problems, in Proc. of ACM SIGMETRICS 2022.
    3. Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, John Lui, Don Towsley, Distributed Bandits with Heterogeneous Agents, in Proc. of IEEE INFOCOM 2022.
    4. Lin Yang, Ali Zeynali, Mohammad H. Hajiesmaili, Ramesh Sitaraman, Don Towsley, Competitive Algorithms for Online Multidimensional Knapsack Problems, in Proc. of ACM SIGMETRICS 2022.
    5. Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny Tsang, Pareto-optimal Learning-Augmented Algorithms for Online Conversion Problems, in Proc. of NeurIPS 2021.
    6. Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John Lui, Don Towsley, Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback, in Proc. of NeurIPS 2021.
    7. Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza, Adam Wierman, Enabling Sustainable Clouds: The Case for Virtualizing the Energy System, in Proc. of ACM SoCC 2021.
    8. Russell Lee, Yutao Zhou, Lin Yang, Mohammad H. Hajiesmaili, Ramesh Sitaraman, Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints, in Proc. of IFIP Performance 2021.
    9. Lingdong Wang, Mohammad H. Hajiesmaili, and Ramesh Sitaraman, FOCAS: Practical Video Super Resolution using Foveated Rendering, in Proc. of ACM Multimedia 2021.
    10. Russell Lee, Jessica Maghakian, Mohammad H. Hajiesmaili, Jian Li,  Ramesh Sitaraman, and Zhenhua Liu Online Peak-Aware Energy Scheduling with Untrusted Advice, in Proc. of ACM eEnergy 2021Best paper runner-up!
    11. John Wamburu, Stephen Lee, Mohammad H. Hajiesmaili, David Irwin, and Prashant Shenoy, Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis, in Proc. of ACM IMWUT/UbiComp 2021.
    12. Ali Zeynali, Bo Sun, Mohammad H. Hajiesmaili, and Adam Wierman, Data-driven Competitive Algorithms for Online Knapsack and Set Cover, in Proc. of  AAAI 2021.
    13. Bo Sun, Ali Zeynali, Tongxin Li, Mohammad H. Hajiesmaili, Adam Wierman, and Danny H.K. Tsang, Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging, in Proc. of ACM SIGMETRICS 2021.
    14. Lin Yang, Mohammad H. Hajiesmaili, M. Sadegh Talebi, John C.S. Lui, and Wing S. Wong, Adversarial Bandits with Corruptions, in Proc. of NeurIPS 2020.
    15. Lin Yang, Mohammad H. Hajiesmaili, Ramesh Sitaraman, Adam Wierman, Enrique Mallada, and Wing S. Wong, Online Linear Optimization with Inventory Management Constraints,  in Proc. of ACM SIGMETRICS 2020.
    16. Rishikesh Jha, Stephen Lee, Srinivasan Iyengar, Mohammad H. Hajiesmaili, David Irwin, and Prashant Shenoy, Emission-aware Energy Storage Scheduling for a Greener Grid, in Proc. of ACM eEnergy 2020. Best Paper Runner-up
    17. Lin Yang, Lei Deng, Mohammad H. Hajiesmaili, Cheng Tan, Wing S. Wong, and An Optimal Algorithm for Online Non-Convex Learning, in Proc. of ACM SIGMETRICS 2018.
    18. Lin Yang, Wing S. Wong, and Mohammad H. Hajiesmaili, An Optimal Randomized Online Algorithm for QoS Buffer Management, in Proc. of ACM SIGMETRICS 2018.
    19. Mohammad H. Hajiesmaili, Sid Chi-Kin Chau, Minghua Chen, and Longbo Huang, Online Microgrid Energy Generation Scheduling Revisited: The Benefits of Randomization and Interval Prediction, in Proc. of ACM eEnergy 2016. Best Paper Runner-up
    20. Lei Deng, Mohammad H. Hajiesmaili, Minghua Chen, Haibo Zeng, Energy-Efficient Timely Transportation of Long-Haul Heavy-Duty Trucks, in Proc. of ACM eEnergy 2016. Best Paper Runner-up
    21. Ying Zhang, Mohammad H. Hajiesmaili, and Minghua Chen, Peak-Aware Online Economic Dispatching for Microgrids, in Proc. of ACM eEnergy 2015. Best Paper Runner-up