معرفی
Muhammad Shahbaz is an Assistant Professor of Computer Science and Engineering at the University of Michigan, where he leads the NextGArch Lab. His research spans computer systems, networks, and architecture, focusing on domain-specific abstractions and programmable infrastructure for emerging workloads like machine learning and 5G networks.
- Postdoc, Electrical Engineering, Stanford University (2020)
- Ph.D. & M.A., Computer Science, Princeton University (2018)
- B.E., Computer Engineering, National University of Sciences and Technology (NUST)
His work includes designing reconfigurable architectures for line-rate machine learning and next-generation networks. Recent publications explore in-network acceleration, DDoS detection, and SmartNIC optimization, reflecting his expertise in networking systems and domain-specific compilers.
Notable honors include the NSF CAREER Award (2024), Google Research Scholar Award (2024), and SRC JUMP 2.0 Best Paper Award (2024). He mentors students in systems research and collaborates on projects like the NSF Convergence Accelerator Phase 1 Award for Track G.
