Mohammad Hajiesmaili

Interests

Carbon-intelligent computing, data-driven online optimization

Research

Mohammad's research centers on studying fundamental design problems under uncertainty in a wide range of application domains. More specifically, Mohammad uses theoretical tools from optimization, machine learning, and algorithm, to design rigorous systems that work provably efficient in uncertain settings. The current target application domains are (i) computer networks and data center optimization; and (ii) energy systems, including electric vehicles. 

Biography

Mohammad Hajiesmaili is an Assistant Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. Before joining UMass, Mohammad was a postdoctoral fellow with Johns Hopkins University, from 2017 to 2018, and with the Chinese University of Hong Kong, from 2015 to 2016. He received his Ph.D. and M.Sc. degrees from the University of Tehran, and his B.Sc. degree from Sharif University of Technology.

Activities & Awards

Professor Hajiesmaili's research is supported by an NSF CAREER Award, a Google Faculty Research Award, and other grants from NSF, VMWare, and Adobe. He was named to Popular Science's Brilliant 10 in 2022, featuring his work on the decarbonization of the internet. Six of his recent papers were selected as the finalists for the best paper award in ACM eEnergy 2015, 2016, 2020, 2021, and 2023. He serves on the Program Committee for multiple conferences, such as ACM Sigmetrics and ACM e-Energy.