Muhammad Shahbaz

Five papers by CSE researchers at NSDI 2025

CSE researchers are presenting new research in the area of networked and distributed systems, including slow-fault tolerance, programmable traffic control, and cloud-based deep learning.

Perfect is the enemy of good for distributed deep learning in the cloud

Leveraging deep learning’s resilience, approximating data lost by allowing some servers to time out speeds up model training while preserving performance.

Streamlining cloud traffic with a Gigaflow Cache

Gigaflow improves virtual switches for programmable SmartNICs, delivering a 51% higher hit rate and 90% lower misses.

Five papers by CSE researchers at ASPLOS 2025

CSE authors are presenting new research on topics related to computer architecture, programming languages, and operating systems.

CSE welcomes new faculty of 2024-25

Meet the new arrivals.

Muhammad Shahbaz receives Google Research Scholar award for work on distributed training in the cloud

Shahbaz is working to develop a novel system to enhance the efficiency of distributed training of large-scale deep learning models in the cloud.

Four papers by CSE researchers at OSDI 2024

New papers by CSE researchers cover topics related to the design and implementation of systems software.