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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+)

  • 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, Performance Analysis using Machine Learning: Use Case Chimbuko, DOE SRP-HPC Fellowship, $85K (Summer 2023).

  • PI, AMD Research Gift, 225K (2021-Present) 🔹NEW🔹

  • 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 (2022-2026, TXST: 300K)

  • 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)

  • Sub-contract, ICE4HPC: Towards the Intelligent Center for HPC, Laboratory Directed Research and Development at Lawrence Livermore National Laboratory, 100K (2022-2023)

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

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

  • Co-PI, AMD COVID HPC Grant, 5-petaflops HPC system (Equipment grant), 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

  • NSF CAREER Award, 2025.

  • DOE Early Career Award, 2022 (10% acceptance rate).

  • Research Millionaire Award, 2024, 2025, College of Science and Engineering.

  • Presidential Seminar Award at TXST, 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 TXST, 2023-2024. 

  • The College of Science and Engineering’s College Achievement Award for Excellence in Scholarly Activities at TXST, 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.

✨Exciting Updates!

DOE Next-gen Data Management
Sept 2022

Excited! Our collaborative proposal with Brookhaven National Lab and Argonne National Lab has been funded by DOE. 

DOE ECRP Award
June 2022

I have received the Early Career Research award from the Department of Energy (DOE) for the innovative application of deep learning to accelerate real-time performance analytics!

SRP-HPC
June 2022

I have received DOE's SRP-HPC fellowship and will be conducting research over the summer as a visiting scholar at Brookhaven National Laboratory. My students--Chase Phelps, Arunavo Dey, and Alicia Guite (sophomore) will also join me.

Graduation
May 2022

Congratulations to Tarek Ramadan for successfully defending his M.Sc. thesis. 

CHEOPS'22
April 2022

I have been invited to give a talk at the CHEOPS workshop colocated with EuroSys'22. 

🔬COMPSAC'22
April 2022

Our paper "libNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool" has been accepted at IEEE COMPSAC'22 (acceptance rate: 23%)!

SC'22
Feb 2022

I am chairing the Performance measurement, modeling, and analysis track at SC this year. Excited and honored!

AMD Gift
Jan 2022

Thanks to AMD for the 50K gift! This is the second year of our collaboration. Here is to many more!

HiPCW'21
Dec 2021

My invited paper talks about designing an HPC course focusing on distributed memory parallelism and scalable parallel I/O patterns.

🏅 College achievement award
Aug 2021

I won the College of Science and Engineering's "Achievement Award in Scholarly Activities" at TxState. Honored!

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Meet The Team

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