Noman Bashir is Ph.D. candidate in the Electrical and Computer Engineering department at the University of Massachusetts Amherst. He received his M.S. in Energy Systems Engineering from the National University of Science and Technology, Islamabad in 2016, and his B.S. in Electrical Engineering at the University of Engineering and Technology, Lahore in 2013. His research interests are in data-driven, machine learning techniques to optimize the performance of distributed systems.
Cloud and Distributed Computing
Machine Learning, Deep Learning and Artificial Intelligence
Resource Management and Scheduling
Best Student Paper Finalist