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Tanzima Islam is an assistant professor in the Department of Computer Science at Texas State University (TxState). 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 TxState's Presidential Award. DOE, NSF, TxState, 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) -- research and mentoring platform for mentoring Bangladeshi female Computer Science and Engineering students in scholarly activities. Since its inauguration in 2014, this pioneering effort has provided hundreds of female students with information and mentorship to secure national and international opportunities to strengthen their resumes. More one BWCSE can be found here.

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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, NSF CAREER Award, Title: SPEED: Scalable Performance-aware Engine for Efficient Decision-making on HPC Systems, 650K (2025-2030) 

  • PI, Oak Ridge National Labs, $16K (Summer 2024)

  • PI, AMD Research Gift, 175K (2021-Present)

  • 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)

  • Co-PI, Scalable Metadata And Provenance Services for Reproducible Hybrid Workflows, DOE Next Generation Data Management,  2.43M (2022-2025, TxState: 300K)

  • Sub-contract, ICE4HPC: Towards the Intelligent Center for HPC, Laboratory Directed Research and Development at Lawrence Livermore National Laboratory, 750K (2022-2025, TxState: 300K)

  • PI, Characterizing Workflow Applications using Machine Learning, DOE SRP-HPC fellowship at Brookhaven National Lab, 68K (2022)

  • PI, Research Enhancement Program (REP) at TxState, 8K (2021)

  • Member, REU Site: Research Experiences for Undergraduates in Edge Computing, NSF, 389K (2021)

  • Co-PI, AMD COVID HPC Grant, 5-petaflops HPC system, 400K (2021) 

  • PI, Proxy Application Validation for Exascale Co-design. SRP fellowship at Lawrence Berkeley National Laboratory, 43K (2019)

  • PI, Parallel Computing course. Time allocation grant from XSEDE, 100K core hours (2017, 2018, 2021, 2022)

  • Co-PI, course development for "Scientific Data Visualization". Office of Research and Sponsored Programs at Western Washington University, 12K (2018)

  • 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

  • Research Millionaire Award, 2024-25, College of Science and Engineering.

  • Presidential Seminar Award at TxState, 2023-24, to highlight and recognize superlative research, creative work, or other scholarly efforts undertaken.

  • Valero Award by Faculty Senate, 2023-2024.

  • The College of Science and Engineering's Presidential Distinction Award for Excellence in Scholarly Activities at TxState, 2023-2024. 

  • The College of Science and Engineering’s College Achievement Award for Excellence in Scholarly Activities at TxState, 2021-2022.

  • R&D 100 award for Scalable Checkpoint-restart library, 2019-2020, by R&D 100 Magazine.

  • Director's Science & Technology Awards and Excellence in Publication, LLNL, 2014.

  • 2nd place, Computation Directorate Postdoctoral Poster Symposium LLNL, 2014.

  • Best Poster Award, Scholars Symposium@LLNL, 2014, 2015, 2016.

  • 2nd place, ACM Student Research Competition (SRC), GHC, 2010.

News

HPDC'25
April 2025

Our paper, "ModelX: A Novel Transfer Learning Approach Across Heterogeneous Datasets," led by Arunavo Dey, has been accepted at HPDC'25 (19% acceptance rate). ModelX redefines transfer learning across heterogeneous datasets—no feature matching needed!

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.

CCGrid'25
Feb 2025

Our paper, "xAMM: Attention to Details Improves Cross-Platform Prediction Accuracy," (pronounced as "Exam") has been accepted in the ML4Sys/Sys4ML track at CCGrid 2025 (Acceptance rate: 25%)! This research has been funded by LLNL's Fractal project. Kudos, Aakash and the team! 

NSF CAREER Award
Jan 2025

I have been awarded the prestigious NSF CAREER award this year! This project will achieve my vision of AI4Performance!

ICASSP Paper accepted
Jan 2025

Congratulations to Banooqa for her paper titled "On the role of prompt construction in enhancing efficacy and efficiency of llm-based tabular data generation", funded by my ECRP. This project was done in collaboration with Kowshik Thopalli@LLNL and Dr. Jayaraman J. Thiagarajan@Apple.

WHPC Panelist@SC'24
Nov 2024

I will be talking about my career path in the SDSC booth #3107 (exhibition floor) on Wednesday at 2pm. Thank you WHPC for inviting me to speak. 

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). 

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Meet The Team

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