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 the design and development of domain-specific abstractions, compilers, and architectures for emerging workloads (including machine learning and self-driving networks). Shahbaz received his Ph.D. and M.A. in Computer Science from Princeton University and B.E. in Computer Engineering from the National Universi… ↓More
Joined department: Spring 2021
Research Areas
- Networking and Operating Systems
- Artificial Intelligence, Machine Learning, and Natural Language Processing
- Computer Architecture
- Distributed Systems
- Programming Languages and Compilers
Education
Ph.D., Princeton University, Computer Science (2018)
Postdoc, Stanford University, Electrical Engineering (2020)
Muhammad Shahbaz is a Kevin C. and Suzanne L. Kahn New Frontiers Assistant Professor in Computer Science at Purdue University. His research focuses on the design and development of domain-specific abstractions, compilers, and architectures for emerging workloads (including machine learning and self-driving networks). Shahbaz received his Ph.D. and M.A. in Computer Science from Princeton University and B.E. in Computer Engineering from the National University of Sciences and Technology (NUST). Before joining Purdue, Shahbaz worked as a postdoc at Stanford University and a Research Assistant at Georgia Tech and the University of Cambridge. Shahbaz has built open-source systems, including Pisces, SDX, and NetFPGA-10G, that are widely used in industry and academia. He received the Facebook, Google, and Intel Research Awards; IETF/IRTF ANRP Prize, ACM SOSR Systems Award; APNet Best Paper Award; Best of CAL Paper Award; Internet2 Innovation Award; and Outstanding Graduate Teaching Assistant Award.