Research Interests

Research Papers

Network Support For Scalable and High Performance Cloud Exchanges

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

ParserHawk: Hardware-aware parser generator using program synthesis

ACM SIGCOMM 2025
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

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

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)

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

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

Nokia Bell Labs Outstanding Student Research Award 2023