Mohammad Hajiesmaili

Mohammad Hajiesmaili is an Associate Professor at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He leads the SOLAR Lab, focusing on computational decarbonization, data-driven optimization, and sustainable systems. His research bridges theoretical computer science with practical applications in energy systems (e.g., electric vehicles) and networking.

Educations:

• PhD in Computer Science, University of Tehran
• MSc in Computer Science, University of Tehran
• BSc in Computer Science, Sharif University of Technology

Research Interests: Hajiesmaili’s work centers on designing algorithms for systems operating under uncertainty, particularly in energy-efficient computing, renewable energy integration, and carbon-aware scheduling. His lab develops tools for carbon-intelligent computing, including battery management for data centers and equitable decarbonization strategies for ridesharing platforms. He emphasizes interdisciplinary approaches combining optimization, machine learning, and theoretical analysis.

Grants & Awards:

• NSF CAREER Award (2021)
• Google Faculty Research Award (2019)
• Amazon Research Award (2022)
• Popular Science Brilliant 10 (2022)
• Multiple ACM eEnergy best paper finalists (2015–2023)

His research is supported by grants from NSF, VMWare, Adobe, and Amazon.

Lab & Collaborations: The SOLAR Lab collaborates on projects like energy-efficient video streaming (SODA, BONES), carbon-aware scheduling (CarbonClipper), and equitable decarbonization in transportation (LEAD). Hajiesmaili also contributes to the Center for Data Science and Theoretical Computer Science Group at UMass Amherst.