About

I'm a Ph.D. candidate and Ross Fellow in the Department of Computer Science at Purdue University, where I am advised by Muhammad Shahbaz. My research focuses on designing next generation hardware/software abstractions and architectures for emerging data center networking applications. Currently, I am working on designing a scalable and efficient fast path for the Open vSwitch, which is a widely used software switch in modern data centers.

Research

Google Scholar

• Gigaflow: A Scalable and Efficient Fast Path for the Open vSwitch

  Annus Zulfiqar, et al. Ali Imran, Venkat Kunaparaju, Ben Pfaff, Gianni Antichi, Muhammad Shahbaz In Preperation

• The Slow Path Needs an Accelerator Too!

  Annus Zulfiqar, et al. Ben Pfaff, William Tu, Gianni Antichi, Muhammad Shahbaz SIGCOMM CCR 2023

• Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks

  Tushar Swamy, et al. Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun ASPLOS 2023 Distinguished Artifact Award

• AI-ForestWatch: Semantic Segmentation Based End-to-End Framework for Forest Estimation and Change Detection using Multi-Spectral Remote Sensing Imagery

  Annus Zulfiqar, et al. Muhammad Mohsin Ghaffar, Muhammad Shahzad, Christian Weis, Muhammad Imran Malik, Faisal Shafait, Norbert Wehn JARS 2021

Projects

Homunculus
Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks

AI-ForestWatch
Low Cost, Open Source Forest Cover Change Detection and Tracking using Remote Sensing Imagery