MUHAMMAD SHAHBAZ

Muhammad Shahbaz is a Kevin C. and Suzanne L. Kahn New Frontiers Assistant Professor in Computer Science at Purdue University. His research focuses on designing and developing domain-specific abstractions, compilers, and architectures for emerging workloads (including machine learning). Before joining Purdue, Shahbaz worked as a postdoc at Stanford University and a Research Assistant at Georgia Tech and the University of Cambridge. He received the Facebook, Google, and Intel Research Award; IETF/IRTF ANRP Prize; ACM SOSR Systems Award; Best of CAL Paper Award; and Internet2 Innovation Award. Shahbaz received his Ph.D./M.A. in Computer Science from Princeton University.