Abdullah Al Raqibul Islam
I am a Ph.D. candidate in Computer Science at UNC Charlotte, where I am advised by Prof. Dong Dai. My research lies at the intersection of high-performance computing and algorithm design, with a focus on data storage systems and algorithms for sparse data.
I am on the academic and industry job markets in 2025-2026
My dissertation work explores the development of a high-performance dynamic graph processing framework optimized for emerging storage technologies, such as non-volatile memory. I am particularly interested in intelligent and adaptive data structures that enable efficient storage and analysis of evolving graph data.
Since Summer 2023, I have also been working with Dr. Aydin Buluc at Lawrence Berkeley National Laboratory on projects related to parallel sparse computations.
Before starting my Ph.D., I worked as a Principal Software Engineer at TigerIT Bangladesh Ltd. where I led projects involving machine learning and data management systems. I completed my bachelor’s degree in Computer Science from University of Dhaka, Bangladesh.
[CV] [Google Scholar] [CSAuthors] [GitHub] [LinkedIn] [Twitter]
Research Interest
- Parallel and High-Performance Computing
- Graph Storage and Processing
- Large-Scale Intelligent Data Management on Modern Hardware
Publications
Conference Papers
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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
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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.
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, 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
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
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
Contact
aislam6@charlotte.edu