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Building Greener and More Reliable Data Networks

Mohammad Hajiesmaili
Mohammad Hajiesmaili

College of Information and Computer Sciences (CICS) Research Assistant Professor Mohammad Hajiesmaili has received a $500,000 grant from the National Science Foundation for his project to optimize data center energy procurement using machine learning. It's the second grant for the project, following the Google Research Award he received in April along with co-investigators Ramesh Sitaraman, professor at CICS, and David Irwin, professor of electrical and computer engineering.

"These two grants for Hajiesmaili's research are a recognition of how increasingly important it is to address energy use in computing," said Prashant Shenoy, professor and associate dean at CICS, and director of the Center for Smart and Connected Society. "The application of machine learning to data center energy procurement is a promising approach for building greener and more reliable distributed systems."

Read more about the project and the Google Research Award: "CICS Assistant Professor Mohammad Hajiesmaili Granted Google Research Award for Machine Learning Project to Optimize Energy Procurement in Data Centers."

Mohammad Hajiesmaili is a research assistant professor at CICS. He received his Ph.D. and M.Sc. degrees from the University of Tehran, and his B.Sc. degree from Sharif University of Technology. He was a postdoctoral student at Johns Hopkins University and The Chinese University of Hong Kong. His research centers on studying fundamental design problems under uncertainty in a wide range of application domains, including computer networks and energy systems.

This article was originally titled, "Hajiesmaili Receives NSF Grant for Machine Learning Project to Optimize Energy Procurement in Data Centers"