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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 is the recipient of the prestigious Early Career Research Program (ECRP) award from the Department of Energy (DOE). 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 Lawrence Livermore National Laboratory, and the Presidential Award at TxState. DOE, TxState, AMD, and various national laboratories have 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.

Per4ML Laboratory

Tanzima is the director of the Per4ML laboratory at TxState. Per4ML's research mission is to enable rapid scientific discoveries with effective cyberinfrastructure utilization. The involved tasks include performance modeling, analysis, and optimization for scientific and deep learning applications running on heterogeneous High-Performance Computing (HPC) systems. Specifically, Per4ML works in the cross-cutting field of data science for HPC by addressing exciting problems in computer systems, machine learning, software development, and visualization. Per4ML has multiple RA and Postdoc positions available for driven and self-motivated individuals interested in developing deep learning techniques for decision-making and applying them to HPC and systems. Please send your CV demonstrating your experience in leveraging ML. Self-motivated undergraduate students can also get involved in research to bolster their resumes. You can contact Tanzima by clicking on the email icon under her name.

Research and Other Fundings (1.5M+ since 2022)

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

  • Member, Sloan Foundation, 20K (2023-2025)

  • PI,  INTELYTICS: An Efficient Data-Driven Decision-Making Engine for Performance In the Era of Heterogeneity, DOE Early Career Research Program, 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: 255K)

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

  • 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

  • Presidential Seminar Award at TxState, 2023-24. This is the highest award a faculty can achieve at TxState for their superlative scholarship, research activities, and contributions to their disciplines

  • 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

For Potential Students: Why TxState?

  • According to CSRankings, in the area of HPC alone, TxState ranks among the top 40 universities in the nation. We are one of the few institutions with a petaflop supercomputer on-premise and easy access to the TACC supercomputers.

  • TxState is a large public university (~40K students) located in San Marcos, just 30 miles south of the heart of Austin, TX. Austin is a vibrant city bustling with diversity in food, people, and culture. Being close to Austin, you can access the city's many perks and amenities while enjoying affordable living in San Marcos. Added bonus: almost every large company (e.g., Google, Amazon, Apple, Meta, AMD, NXP, Samsung) has an office in Austin, so opportunities for jobs and internships are aplenty. 

  • TxState is committed to providing resources and support for a diverse student body. Everyone fits right in!

News

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. 

ICMLA'23
Sept 2023

Our paper on using graph-based representation learning for performance analytics has been accepted at International Conference on Machine Learning and Applications (ICMLA)! (Acceptance rate ~25%)

Valero Award
Aug 2023

The faculty senate has awarded me the prestigious and selective Valero Award. Thanks!

REWORDS'23
Aug 2023

Our paper titled "Building the I (Interoperability) of FAIR for performance reproducibility of large-scale composable workflows in RECUP" has been accepted at the Reproducible Workflows, Data Management, and Security workshop.

COSE Award'23
Aug 2023

I have been awarded the "Presidential Distinction Award", the highest award for creative and scholarly activities in the College of Science and Engineering (COSE) at TxState.

IEEE COMPSAC'23
May 2023

We have two papers accepted at IEEE COMPSAC'23. Congratulations to Arunavo and Chase (acceptance rate: < 27%)! 

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