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Haseeb Ashfaq

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My legal name is Muhammad Haseeb.

Ph.D. Computer Science from New York University, completed in May 2026
Advisor: Anirudh Sivaraman
haseeb.luminite [at] gmail.com

Research Interests

  1. Computer Networks
  2. Distributed Systems
  3. Financial Exchange Infrastructure
  4. Cloud Computing

Research Papers

Probabilistic Fair Ordering of Events

  • Under Submission | Arxiv
  • Authors: Haseeb Ashfaq, Jinkun Geng, Aurojit Panda, Radhika Mittal, Nirav Atre, Srinivas Narayana, Anirudh Sivaraman

Beyond Lamport, Towards Probabilistic Fair Ordering

  • ACM HotNets'25
  • Authors: Haseeb Ashfaq, Jinkun Geng, Radhika Mittal, Aurojit Panda, Srinivas Narayana, Anirudh Sivaraman

Network Support For Scalable and High Performance Cloud Exchanges

ParserHawk: Hardware-aware parser generator using program synthesis

  • ACM SIGCOMM 2025
  • Authors: Xiangyu Gao, Jiaqi Gao, Karan Kumar, Haseeb Ashfaq, Enan Zhai, Bili Dong, Joseph Tassarotti, Srinivas Narayana, Anirudh Sivaraman

Towards Efficient Transmission of 3D Point Clouds Via Adaptive Encoding and QUIC

Codesign of Tensors Encoding And Transcoding: A Building Block For Decentralized AI

QuEST: Fast, Expressive, and Cheap Analytics for Distributed Traces Using Cloud Storage

  • CloudDB Workshop @ VLDB'23
  • Authors: Jessica Berg, Haseeb Ashfaq, Haiming Chen, Yaojia Ju, Anirudh Sivaraman, Ravi Netravali and Srinivas Narayana

To Block or Not To Block: Accelerating Mobile Webpages On-The-Fly Through JavaScript Classification

  • ICTD'22
  • Authors: M Chaqfeh, M Haseeb, W Hashmi, P Inshuti, M Ramesh, M Varvello, F Zaffar, L Subramanian, Y Zaki

Using Application Layer Banner Data to Automatically Identify IoT Devices

Invited Talks

New England Systems Day 2026, Jan 23, 2026

Topic: Beyond Lamport, Towards Probabilistic Fair Ordering

HotNets 2025, November 18, 2025

Topic: Beyond Lamport, Towards Probabilistic Fair Ordering

Open Compute Project, OCPTAP, October 22, 2025

Topic: Network Support For Scalable And High Performance Cloud Exchanges

New England Systems Day 2025, February 03, 2025

Topic: Design and Implementation of a Scalable Financial Exchange in the Public Cloud

Google, December 03, 2024

Topic: How to build an ultra-fast and scalable financial exchange on the public cloud?

Rutgers University, October 30, 2024

Topic: Network support for cloud hosted financial exchanges

Experience

Software Engineering Intern (PhD) at Google, Sunnyvale CA, USA

  • Part of AI and Infrastructure organization, worked on improving robustness of ML infrastructure
  • Developed a tool, hstprof, for profiling GPU/TPU workloads using high-speed network telemetry
  • hstprof enabled fine-grained view of the network traffic of ML jobs, reporting utilization at 100-microseconds timescale
  • Used hstprof to analyze Gemini training clusters to investigate several regressions including packet drops and high latencies
  • Found imbalance of packet queues across memory banks of switches which caused performance degradation

Networking Research Intern at Nokia Bell Labs, Murray Hill, NJ, USA

  • Led a project for designing and developing a streaming service for AR/VR content
  • Designed and implemented a scalable streaming system that can adapt to network conditions and serve heterogeneous clients using minimal resources
  • Designed an encoder/decoder for point cloud data that can tolerate packet losses

Software Engineer at PosterMyWall, Pakistan

  • Secured the product website by eliminating critical security vulnerabilities (XSS, CSRF, IDOR, potential Brute Force Attacks)
  • Designed and implemented an access control system for different tools of the company
  • Setup CI/CD pipeline along with a testing infrastructure
  • Worked with various AWS services: EC2, S3, CloudFormation, CloudWatch, CodeDeploy

Select Projects

Low Latency and Latency-Fair Financial Exchange on Public Cloud

  • Designed a low-latency (DPDK based) and highly scalable multicast mechanism where the latency difference across any two receivers is under 1 microsecond.
  • Developed techniques to keep latency stable by hedging against various sources of latency fluctuation.
  • Built a domain-specific priority queue that increases the throughput of an order-matching engine during bursty network activity.
  • Prototyped on AWS and GCP.

Probabilistic Fair Ordering of Events

  • Developed a sequencer that orders events by their occurrence, useful when inter-event durations are smaller than the clock accuracy.
  • Developed a probabilistic technique that estimates the probability of one event preceding another, relying on clients' local timestamps and their clocks' error distributions.
  • Mapped the problem to the ranking problem from Social Choice Theory literature to handle the intransitivity of the probabilistic comparator.
  • The sequencer enabled scaling of the timestamped packet capture systems.

Patents

A METHOD TO ENABLE FAST TRANSMISSION AND PROCESSING OF 3D TELEPRESENCE DATA ENCODED AS OCTREES

  • Approved by Nokia's Board "Wireline Networks Patent Board".
  • Under submission to USPTO. Link

Awards

Nokia Bell Labs Outstanding Student Research Award 2023

  • For my work on volumetric video streaming.
  • Check out the wall plaque Bell Labs sent me.

Education

New York University, NY, USA

  • Ph.D. in Computer Science
  • Sep. 2021 -- May 2026

Lahore University of Management Sciences, Lahore, PK

  • B.S. in Computer Science
  • Aug. 2016 -- May 2020