Ph.D. Computer Science candidate at New York University

Working in Systems group Systems@NYU

Office: Room 444, 60 5th Avenue, New York, NY 10011

mh6218@nyu.edu

haseeb.luminite@gmail.com

Research Interests

1. Computer Networks
2. Distributed Systems
3. Cloud Computing
4. AR/VR streaming

Research Papers

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

• ACM SIGCOMM 2025
• Cited by researchers and engineers from Jane Street, Google and Microsoft Research.
• Authors: Haseeb Ashfaq, Jinkun Geng, Daniel D-Cavalcanti, Xiyu, Hao, Ulysses Butler, Radhika Mittal, Srinivas Narayana, Anirudh Sivaraman

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

• EMS'25, a SIGCOMM workshop
• Authors: Haseeb Ashfaq, Eugene Chai, Matteo Varvello

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

• Networks for AI Computing (NAIC)'25, a SIGCOMM workshop
• Authors: Revant Teotia, Haseeb Ashfaq

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

• ACM Sigcomm CCR, July 2020
  Also, a poster of this work got accepted at IMC Reproducibilty Track 2019
• Authors: T Javed, M Haseeb, M Abdullah, M Javed

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

Ongoing Research Projects

High Performance and Scalable Multicast As A Cloud Service

• Designed and implemented a low-latency and scalable multicast service
• Used kernel-bypass techniques (DPDK) for achieving ultra-low latency
• Achieved better latency and scalability than the multicast provided by AWS Transit Gateway

Real Time Volumetric Videos streaming

• 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
• Desgined a low latency transcoding mechanism for point clouds

Service Mesh Based Microservices Authorization For Byzantine Environments

• Designed a new access control system, Path Aware Access Control that takes into account the path a user request follows in a microservices application before allowing it to access some microservice(s)

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
• Created a disaster recovery mechanism for the company’s infrastructure hosted on AWS
• Worked with various AWS services: EC2, S3, CloudFormation, CloudWatch, CodeDeploy

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 videos streaming.
• Check out the wall plaque Bell Labs sent me.

Education

New York University, NY, USA

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

Lahore University of Management Sciences, Lahore, PK

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