Annus Zulfiqar
I'm a PhD candidate in the Computer Science and Engineering department at the University of Michigan, Ann Arbor, advised by professor Muhammad Shahbaz. My research is about rethinking data plane architectures and algorithms to build scalable networked systems that overcome traditional resource limitations and adapt quickly to dynamic network conditions.
Publications
NSDI 2026
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Murayyiam Parvez*, Annus Zulfiqar*, Roman Beltiukov, Shir Landau-Feibish, Walter Willinger, Arpit Gupta, Muhammad Shahbaz (*co-primary author)
ARXIV 2025
OptiNIC: A Resilient and Tail-Optimal RDMA NIC for Distributed ML Workloads
Ertza Warraich, Ali Imran, Annus Zulfiqar, Shay Vargaftik, Sonia Fahmy, Muhammad Shahbaz
IEEE CAL 2025
Reimagining RDMA Through the Lens of ML
Ertza Warraich, Ali Imran, Annus Zulfiqar, Shay Vargaftik, Sonia Fahmy, and Muhammad Shahbaz
🎖️ Broadcom Research Award
SIGCOMM 2025 Poster
Kairo: Incremental View Maintenance for Scalable Virtual Switch Caching
Annus Zulfiqar, Ben Pfaff, Gianni Antichi, Muhammad Shahbaz
ASPLOS 2025
Gigaflow: Pipeline-Aware Sub-Traversal Caching for Modern SmartNICs
Annus Zulfiqar, Ali Imran, Venkat Kunaparaju, Ben Pfaff, Gianni Antichi, Muhammad Shahbaz
Media Coverage:
SIGCOMM CCR 2023
The Slow Path Needs An Accelerator Too!
Annus Zulfiqar, Ben Pfaff, William Tu, Gianni Antichi, Muhammad Shahbaz
