Muhammad Shahbaz
Computer Science · Purdue University West Lafayette
Publications
70
Citations
1,473
Est. group size
~1
Recurring co-author estimate
Active years
16
Publishing since 2010
Muhammad Shahbaz works on computer networking and systems, focusing on programmable network hardware, cloud computing infrastructure, and integrating machine learning directly into network data planes. His work spans designing faster network stacks and CPUs for data centers, distributed systems for machine learning training, and security mechanisms like DDoS detection in programmable networks.
Publication output has fluctuated over the past decade with a notable peak in 2019 and again in 2025, but has generally remained steady at around 5 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The Synergy of Low-Code/No-Code and AI/ML: Enhancing Intelligent Automation
World Journal of Engineering and Technology · 2025
- HardHarvest: Hardware-Supported Core Harvesting for Microservices
2025
- O’MINE: A Novel Collaborative DDoS Detection Mechanism for Programmable Data-Planes
2025
- DFT Studies of Electronic and UV-Vis Properties of Pyrrole-Based Oligomers
ChemRxiv · 2025
- Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents
2024
- DFT Studies on the Ground State, First Singlet Excited State, and Triplet State of Triphenylamine and Its Dimer
ChemRxiv · 2024
- μManycore: A Cloud-Native CPU for Tail at Scale
2023
- OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud
arXiv (Cornell University) · 2023
- Age in combination with gender is a valuable parameter in differential diagnosis of solid pseudopapillary tumors and pancreatic neuroendocrine neoplasm
BMC Endocrine Disorders · 2022
- Taurus: a data plane architecture for per-packet ML
2022
- Autonomous Drone Swarm Navigation in Complex Environments
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST) · 2022
- The case for native multi-node in-network machine learning
2022
- Enabling the Reflex Plane with the nanoPU
arXiv (Cornell University) · 2022
- Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks
arXiv (Cornell University) · 2022
- The nanoPU: A Nanosecond Network Stack for Datacenters
Operating Systems Design and Implementation · 2021
- arXiv (Cornell University)×11
- KSII Transactions on Internet and Information Systems×2
- IEEE Computer Architecture Letters×2
- ChemRxiv×2
- Operating Systems Design and Implementation×1
- Annus Zulfiqar
Computer Science · Purdue University West Lafayette
- Sameer G. Kulkarni
Computer Science · Purdue University West Lafayette
- Md. Faizul Bari
Computer Science · Purdue University West Lafayette
- Mingyuan Liu
Computer Science · Purdue University West Lafayette
- Deepak Nadig
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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