Mohammad Hajiesmaili

Research Assistant Professor
A235 LGRC Lowrise


Rigorous system design using optimization, learning, and algorithmic tools.


Mohammad's research centers on studying fundamental design problems under uncertainty in 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, including cloud, cellular, and Internet of Things; and (ii) energy systems, including smart-grid with renewables and electricity market.


Mohammad Hajiesmaili is a Research Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Before joining UMass, Mohammad was a postdoctoral fellow with the 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 serves on the Program Committee for several conferences and as the reviewer of several leading journals in computer networks, energy systems, and performance evaluation. Three of his recent papers were selected as the finalists for best paper award in ACM eEnergy 2015 and 2016.