Tanzima 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 also 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 empowered hundreds of students to elevate their scholarly achievements, connect with national and international opportunities, and launch their graduate and professional careers. Learn more about BWCSE
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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 (PI/Co-PI; $4.6M+)
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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, Performance Analysis using Machine Learning: Use Case Chimbuko, DOE SRP-HPC Fellowship, $85K (Summer 2023).
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PI, AMD Research Gift, 225K (2021-Present) 🔹NEW🔹
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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-SI: 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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Co-PI, AMD COVID HPC Grant, 5-petaflops HPC system (Equipment grant), 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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NSF CAREER Award, 2025.
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DOE Early Career Award, 2022 (10% acceptance rate).
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Research Millionaire Award, 2024, 2025, 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!
SC'24 BoF | Nov 2024 | I will be giving a talk about our research on performance and result reproducibility in the Reproducibility BoF on Tuesday from 5:15-6:45pm in B201 @SC'24. |
🔬 WORKS'24 | Nov 2024 | Our paper, titled 'Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms,' has been accepted in the WORKS workshop at SC'24. |
Research Millionaire | Oct 2024 | I am grateful to have received the College of Science and Engineering (CoSE)’s “Research Millionaire” award. This award honors CoSE faculty that have been awarded $1M or more in research grant funding over the past three fiscal years (FY2022-2024). |
ISC'25 Poster | Sept 2024 | I am co-chairing the poster session at ISC'24. Please consider submitting your work. If you would like to serve as a reviewer, please contact me. |
CCDSC'24 | Sept 2024 | I had a great time at the CCDSC'24 workshop in Lyon, France. Fun fact: You get invited by Jack Dongarra, the 2022 Turing Award winner, to be in one of those. [Turing Award is equivalent to the Nobel Prize in Computer Science] |
LLNL Intern | May 2024 | Congratulations to Aakash for securing a data analytics internship at LLNL for summer'24! |
🔬 IEEE COMPSAC'24 | May 2024 | Congratulations to Banooqa, Zaeed, Chase+Ankur, and Arunavo for their respective papers at IEEE COMPSAC in Osaka, Japan! These papers range from addressing gaps that enable the effective use of LLMs, GNNs, and transfer learning for performance analytics. |
💰 AMD Gift | Jan 2024 | Thank you, AMD for continuing to support research on AI/ML-driven performance analytics! |
🏅 Presidential Seminar Award | Sept 2023 | I am honored to have been selected as this year's Presidential Seminar Award winner! This award is presented to a TxState faculty for their superlative scholarly and creative activities. |
🔬 SC'23 poster | Sept 2023 | Our research poster, "Graph-Based Anomaly Detection in Chimbuko: Feasible or Fallible?" has been accepted in the SC'23 research poster session. |
Meet The Team
