I am a Researcher in the Department of Computer Science and Engineering at The Ohio State University and a member of the IDT Lab (PI: Prof. Suren Byna). My work focuses on designing scalable, high-performance systems for data-intensive applications, with an emphasis on reducing data movement bottlenecks in modern architectures. I contribute to the SAGEST project, developing optimization-driven integration strategies for large-scale scientific data processing.

I received my Ph.D. in Computer Science from UNC Charlotte in December 2025. My dissertation developed high-performance data structures for efficient sparse storage and computation. I was advised by Prof. Dong Dai during this time. I have also collaborated with Dr. Aydin Buluc at Lawrence Berkeley National Laboratory on parallel sparse computations.

Prior to academia, I worked as a Principal Software Engineer at TigerIT Bangladesh Ltd., leading the development of machine learning-driven and large-scale data management systems. I earned my bachelor’s degree in Computer Science from University of Dhaka, Bangladesh.

[CV] [Google Scholar] [CSAuthors] [GitHub] [LinkedIn] [Twitter]

Research Interest

• AI-Driven Optimization for High-Performance Systems
• Parallel and High-Performance Computing
• Scalable Sparse Data Management
• Intelligent Data Management for Modern Hardware Architectures

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Publications

Conference Papers

• Improving SpGEMM Performance Through Matrix-Reordering and Cluster-wise Computation. [Code]
  Abdullah Al Raqibul Islam, Helen Xu, Dong Dai, and Aydin Buluç.
  SC 2025. (Acceptance Rate: 21.2%)

• DGAP: Efficient Dynamic Graph Analysis on Persistent Memory. [Code]
  Abdullah Al Raqibul Islam and Dong Dai.
  SC 2023. (Acceptance Rate: 23.94%)

• FaultyRank: A Graph-based Parallel File System Checker. [Code]
  Saisha Kamat, Abdullah Al Raqibul Islam, Mai Zheng and Dong Dai.
  IPDPS 2023. (Acceptance Rate: 25.7%)

• Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures.
  Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng and Roger Pearce.
  HPEC 2022. Outstanding Student Paper Award.

• VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array. [Code] [Slides]
  Abdullah Al Raqibul Islam, Dong Dai and Dazhao Cheng.
  CCGRID 2022. (Acceptance Rate: 24.83%)

• A Performance Study of Optane Persistent Memory: From Indexing Data Structures’ Perspective. [Code] [Slides]
  Abdullah Al Raqibul Islam, Anirudh Narayanan, Christopher York and Dong Dai.
  MSST 2020. (Acceptance Rate: 29%)

Journal Papers

• A Performance Study of Optane Persistent Memory: From Storage Data Structures’ Perspective. [Code]
  Abdullah Al Raqibul Islam, Christopher York and Dong Dai.
  THPC 2022. Journal Paper.

Posters / WiPs / Brief Announcements

• Efficient Large Dynamic Graph Analysis on Emerging Storage Technology.
  Abdullah Al Raqibul Islam and Dong Dai.
  SC 2024. Doctoral Showcases.

• Improving SpGEMM Performance Through Reordering and Cluster-wise Computation.
  Abdullah Al Raqibul Islam, Helen Xu, Dong Dai, and Aydin Buluç.
  SC 2024. ACM SRC Posters. Best ACM SRC–Graduate: 3rd Place.

• Efficient Large Dynamic Graph Analysis on Emerging Storage Technology.
  Abdullah Al Raqibul Islam and Dong Dai.
  IPDPS 2023. PhD Forum.

• A Framework for Large Dynamic Graph Analysis on Persistent Memory. [Slides]
  Abdullah Al Raqibul Islam and Dong Dai.
  FAST 2023. WiP.

• On the Scalability of Testing the Crash Consistency of PM Systems. [Slides]
  Duo Zhang, Om Rameshwar Gatla, Abdullah Al Raqibul Islam, Dong Dai, and Mai Zheng.
  FAST 2023. WiP and Poster.

• Understand the Overheads of Storage Data Structures on Persistent Memory. [Code] [Slides]
  Abdullah Al Raqibul Islam and Dong Dai.
  PPoPP 2020. Brief Announcement.

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Professional Service

• Program committee member of GrAPL 2025 (IPDPS 2025 Workshop)
• Program committee member of SANDY 2024 (ICPP 2024 Workshop)
• Program committee member of GrAPL 2024 (IPDPS 2024 Workshop)
• Artifact evaluation committee member of SC 2025, SOSP 2025, OSDI 2024, ATC 2024, SC 2024, ICPP 2024, PPoPP 2024, SOSP 2023, ATC 2023, OSDI 2023, EuroSys 2023, ATC 2022, OSDI 2022
• Student volunteer of SC 2024, SC 2023, ISSRE 2022, SC 2021
• Sub-reviewer of SPAA 2024, ICPP 2023, IEEE BigData 2022, IEEE ISPA 2021
• External reviewer of IPDPS 2023, ICPP 2022, CCGrid 2022, IPDPS 2022, ICPP 2020, IPDPS 2020

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Experience

• Research Assistant @ UNC Charlotte / DIR Lab, Aug. 2019 - Present (Mentor: Dong Dai)
• Research Intern @ Lawrence Berkeley National Laboratory, Summer 2024 (Mentor: Aydın Buluç)
• Research Intern @ Lawrence Berkeley National Laboratory, Summer 2023 (Mentor: Aydın Buluç, Helen Xu)
• Research Intern @ Lawrence Livermore National Laboratory, Summer 2022 (Mentor: Roger Pearce, Keita Iwabuchi)
• Mentor @ Undergraduate Research Initiative (URI), Computer Science Department, UNC-Charlotte. Spring 2023
• Guest Lecture, Machine Learning for Efficient Computing Systems, Graduated Course, UNC Charlotte, Spring 2023
• CS Research Mentorship Program (CSRMP) - Mentee, Fall 2022 (Mentor: Marisa Ferrara Boston)
• Principal Software Engineer @ TigerIT Bangladesh Ltd., Oct 2014 - Aug 2019

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Honors and Awards

• 3rd Place in ACM Student Research Competition–Graduates at SC, 2024
• ACM SIGHPC Travel Grant, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2024
• SC24 Travel Grant, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2024
• Conference Travel Scholarship, UNC Charlotte, 2024
• SC23 TCHPC Travel Award, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023
• Merit Scholarship $1500, UNC Charlotte, 2023
• SciAuth Student Fellowship $1000, 2022
• Outstanding Student Paper Award, 27th Annual IEEE High Performance Extreme Computing (HPEC), 2022

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aislam6@charlotte.edu