Saeed Kargar is a Ph.D. student in CRSS/SSRC who started in Winter 2018. His previous studies lied in servive/resource dicsovery methods and protocols on Distributed Systems such as P2P and Grid Computing. His current area of interest is Non-Volatile Memory technology.
He is currently working on designing write-friendly data structures on NVMs. Moreover, He is working on another project to design a method to reduce the number of bits changed per write and wear leveling in NVMs. He has also recently been interested in Machine Learning. His advisor is Professor Miller.