Tanzima Islam is an associate professor in the Department of Computer Science at Texas State University (TXST). Dr. Islam earned her Ph.D. in Computer Engineering from Purdue University and was a postdoctoral scholar at Lawrence Livermore National Laboratory (LLNL). Her research develops software tools and data-driven analysis techniques to automatically identify performance problems of scientific applications running on High-Performance Computing (HPC) systems. She has received two prestigious and highly selective early-career awards: the NSF CAREER Award and the Department of Energy's (DOE) Early Career Research Program (ECRP) Award. The impact of her research has been recognized nationally and internationally through awards such as the R&D 100 award, the Science and Technology award from LLNL, and TXST's Presidential Award. DOE, NSF, TXST, AMD, and various national laboratories have generously funded Dr. Islam’s research.
Dr. Islam is the co-founder of Bangladeshi Women in Computer Science and Engineering (BWCSE)—a pioneering platform launched in 2014 to support Bangladeshi women pursuing degrees in computing. Through a combination of mentoring, research guidance, and resource sharing, BWCSE has helped hundreds of students strengthen their scholarly profiles and access national and international opportunities. Learn more about BWCSE

Per4ML Laboratory
Tanzima leads the Per4ML laboratory, dedicated to building intelligent, scalable systems that learn and adapt to the evolving demands of high-performance computing and cyberinfrastructure. Per4ML drives research across AI, machine learning, and systems to accelerate scientific discovery through faster, smarter, and more resilient computing. We are looking for curious, ambitious students—Postdocs, RAs, and undergraduates—who are excited to push the boundaries of AI-driven systems research. Join us to help shape the future of intelligent computing.
Research and Other Fundings
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PI, NSF CAREER Award, Title: SPEED: Scalable Performance-aware Engine for Efficient Decision-making on HPC Systems, 650K (2025-2030)
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PI, Oak Ridge National Labs, $16K (Summer 2024)
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PI, AMD Research Gift, 175K (2021-Present)
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PI, DOE Early Career Research Program (ECRP), Title: INTELYTICS: An Efficient Data-Driven Decision-Making Engine for Performance In the Era of Heterogeneity, 770K (2022-2027)
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Co-PI, Scalable Metadata And Provenance Services for Reproducible Hybrid Workflows, DOE Next Generation Data Management, 2.43M (2022-2026, TXST: 300K)
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Sub-contract, FRACTAL: Resource Allocation for Center-Wide Throughput Acceleration Leveraging Elasticity, Strategic Initiative from Laboratory Directed Research and Development at Lawrence Livermore National Laboratory, 3.3M/year (2023-2026, TXST PI: 100K/year)
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Sub-contract, ICE4HPC: Towards the Intelligent Center for HPC, Laboratory Directed Research and Development at Lawrence Livermore National Laboratory, 100K (2022-2023)
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PI, Characterizing Workflow Applications using Machine Learning, DOE SRP-HPC fellowship at Brookhaven National Lab, 68K (2022)
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PI, Research Enhancement Program (REP) at TXST, 8K (2021)
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Member, REU Site: Research Experiences for Undergraduates in Edge Computing, NSF, 389K (2021)
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Co-PI, AMD COVID HPC Grant, 5-petaflops HPC system, 400K (2021)
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PI, Proxy Application Validation for Exascale Co-design. SRP fellowship at Lawrence Berkeley National Laboratory, 43K (2019)
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PI, Parallel Computing course. Time allocation grant from XSEDE, 100K core hours (2017, 2018, 2021, 2022)
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Co-PI, course development for "Scientific Data Visualization". Office of Research and Sponsored Programs at Western Washington University, 12K (2018)
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PI, Veritas for Understanding Performance Evolution during Code Development. Linking Exploratory Application Research to Next-gen Development at Lawrence Livermore National Laboratory, 200K (2016)
Awards & Honors
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Research Millionaire Award, 2024-25, College of Science and Engineering.
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Presidential Seminar Award at TXST, 2023-24, to highlight and recognize superlative research, creative work, or other scholarly efforts undertaken.
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Valero Award by Faculty Senate, 2023-2024.
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The College of Science and Engineering's Presidential Distinction Award for Excellence in Scholarly Activities at TXST, 2023-2024.
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The College of Science and Engineering’s College Achievement Award for Excellence in Scholarly Activities at TXST, 2021-2022.
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R&D 100 award for Scalable Checkpoint-restart library, 2019-2020, by R&D 100 Magazine.
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Director's Science & Technology Awards and Excellence in Publication, LLNL, 2014.
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2nd place, Computation Directorate Postdoctoral Poster Symposium LLNL, 2014.
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Best Poster Award, Scholars Symposium@LLNL, 2014, 2015, 2016.
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2nd place, ACM Student Research Competition (SRC), GHC, 2010.
✨Exciting Updates!
🥳 Promotion | Sept 2025 | Promoted to Associate Professor! Grateful to my students, collaborators, mentors, and the Almighty. |
🏅 Track Chair@SC'26 | Aug 2025 | Honored to serve as Performance Track Chair for SC’26. |
🎤 EuroPar'25 | Aug 2025 | Honored to give an invited talk at EuroPar's Women in HPC session on bridging key gaps in performance-aware code development. |
🎤 MDC'25 | Aug 2025 | Invited Talk @ Monterey Data Conference (Monterey, CA) — Exciting discussions on deploying ModelX into HPC production facilities! |
🏆 Best Paper Award | July 2025 | My Ph.D. student Elvis Fefey’s research on heterogeneous scheduling algorithms just won the Best Paper Award at IEEE Cloud Summit! Proud advisor moment! 🎉 |
🎤 PASC'25 | June 2025 | Invited Talk @ ML4SW Workshop (PASC’25, Switzerland) — Great interest in integrating ModelX into HPC+AI/ML libraries! |
🔬ICS'25 | May 2025 | Our paper "QuantumX: A Few-Shot-Learning Approach for Quantum Performance Modeling in HPC" has been accepted at the International Workshop on Software Frameworks for Integrating Quantum and HPC Ecosystems in conjunction with ICS'25! |
🔬HPDC'25 | April 2025 | 📄 Paper Accepted @ HPDC’25 (19% acceptance) — “ModelX: A Novel Transfer Learning Approach Across Heterogeneous Datasets” (led by Arunavo Dey), considered for Best Paper Award! |
🧑🎓 First Prelim | April 2025 | Elvis Fefey passed his prelim exam! This milestone is especially exciting because Elvis is the first Ph.D. student to join Per4ML and also the first from our lab to reach and pass this critical stage. Congratulations, Elvis! |
🔬 Journal accepted | April 2025 | Our paper titled "Structure‐Aware Representation Learning for Effective Performance Prediction" has been published in Concurrency and Computation: Practice and Experience. |
Meet The Team



















