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Muhammad Shahbaz is an Adjunct Assistant Professor in the Department of Computer Science at Purdue University, specializing in the design and development of domain-specific abstractions, compilers, and architectures for emerging workloads, with a particular focus on machine learning and self-driving networks. Shahbaz earned his Ph.D. in Computer Science from Princeton University in 2018, and has since pursued a postdoctoral fellowship in Electrical Engineering at Stanford University. Prior to joining Purdue, he held research positions at Georgia Tech and the University of Cambridge. Throughout his career, he has contributed to the development of various open-source systems including Pisces, SDX, and NetFPGA-10G, which are widely utilized in both industry and academia. His research and contributions have earned him multiple accolades, including awards from Facebook, Google, and Intel, as well as recognition from IETF/IRTF, ACM, and Internet2.
Purdue University • West Lafayette, IN
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