Faculty Profiles

Dr. Tanzima Islam

Assistant Professor — Computer Science

CMAL 211

phone: (512) 245-3409

t_i24@txstate.edu

Biography and Education

I am an Assistant Professor at Texas State University (TXST). Before joining TXST, I was an assistant professor at Western Washington University (2017-2019), and a postdoctoral scholar at Lawrence Livermore National Laboratory (2013-2017). Broadly, I am interested in leveraging data science methodologies to address challenging questions that pertain to extreme-scale computing environments. My research spans fault-tolerance, performance modeling, prediction, and reproducibility for large-scale applications. I earned my Ph.D. in Electrical and Computer Engineering from Purdue University, and B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology. My work enables large-scale simulations, often used in different fields such as bioinformatics, earthquake engineering, material science, to leverage the incredible computational capabilities of modern clusters.

Teaching Interests

High Performance Computing, Systems, Compiler Construction, Parallel Computing, fault-tolerance

Research Interests

My research involves both modeling compute performance and designing scalable data movement strategies for large-scale applications in HPC environments. In the short-term, I am interested in leveraging data-driven analysis approach for comparative modeling with a focus on HPC co-design. My long-term research objective revolves around developing software solutions to ensure scalable performance under resilience and power constraints for large-scale systems.

Selected Scholarly/Creative Work

Islam, T. Z., & Phelps, C. (2021). HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects. https://doi.org/10.1109/HiPCW54834.2021.00011
Patki, T., Thiagarajan, J. J., Ayala, A., & Islam, T. Z. (2019). Performance optimality or reproducibility: that is the question (pp. 1--30). ACM/IEEE.
Islam, T. Z., Ayala, A., Jensen, Q., & Ibrahim, K. (2019). Toward a Programmable Analysis and Visualization Framework for Interactive Performance Analytics. In International Conference for High Performance Computing, Networking, Storage and Analysis (SC) (pp. 70--77). IEEE. https://doi.org/10.1109/ProTools49597.2019.00015
Islam, T. Z. (2019, March). SCR: Scalable Checkpoint / Restart (SCR) Library. Retrieved from https://github.com/LLNL/scr
Thiagarajan, J. J., Anirudh, R., Kailkhura, B., Jain, N., Islam, T. Z., Bhatele, A., … Gamblin, T. (2018). PADDLE: Performance Analysis using a Data-driven Learning Environment (pp. 784--793). IEEE. https://doi.org/10.1109/IPDPS.2018.00088

Selected Awards

Award / Honor Recipient: Presidential Seminar Award, Texas State University. November 5, 2023
Award / Honor Recipient: R&D 100, R&D 100 Magazine. November 2019
Award / Honor Recipient: Best Poster Award, Lawrence Livermore National Laboratory Annual Scholars Poster Symposium. 2016
Award / Honor Recipient: LLNL Director’s Science & Technology Award for Excellence in Publication, Lawrence Livermore National Laboratory. October 2014
Award / Honor Recipient: Presidential Distinction Award, College of Science and Engineering. November 5, 2023

Selected Grants

Lewis, Karen A, Whitten, Steven T (Co-Principal), Hough, Loren (Co-Principal), Hodby, Eleanor (Co-Principal), Theodoropoulou, Nikoleta (Supporting), Close, Eleanor W (Supporting), Rangelov, Blagoy (Supporting), Islam, Tanzima Z (Supporting), Betancourt, Tania (Supporting), Berry, Joe (Supporting), Finklestein, Noah (Supporting), MacGregor, Meredith (Supporting), Brown, Jed (Supporting), Eaves, Joel (Supporting). Creating Equitable Pathways to STEM Graduate Education, Sloan Foundation, Private / Foundation / Corporate, $249299. (Submitted: September 2, 2022, Funded: January 2023 - Present). Grant.
Fulton, Lawrence V (Principal), Villagran, Melinda Morris (Co-Principal), , Bing Zhou (Co-Principal), Mendez, Francis A (Co-Principal), Ekin, Tahir (Co-Principal), Qasem, Apan Muhammad (Co-Principal), Konur, Dincer (Supporting), Alanis, Emmanuel (Supporting), Zihagh, Fereshteh (Supporting), Dong, Zhijie (Co-Principal), Shen, Xiaoxi (Supporting), De Nadai, Alessandro Stevens (Supporting), Zhu, Ye (Co-Principal), Hewitt, Barbara A (Co-Principal), Valles Molina, Damian (Supporting), White, Alexander (Supporting), Dolezel, Diane M (Supporting), Ioudina, Vera (Supporting), Islam, Tanzima Z (Supporting), Lee, Chul Ho (Supporting), Metsis, Vangelis (Supporting), Moradi, Masoud (Supporting), Gao, Ju (Supporting), Li-Jen, Lester (Supporting), Jones, Dustin (Supporting), Pham, Vung (Supporting), Holt, Melinda (Supporting), Kyung An, Min (Supporting), Islam, ABM (Supporting), Cho, Hyuk (Supporting), Liu, Quigzhoung (Supporting), Liang, Fan (Supporting), Topinka, Joseph Baar (Supporting). The Accelerating Credentials of Purpose and Value for the Texas Innovation Corridor (TIC) Consortium Grant, THECB, State, $1450000. (Submitted: November 2021, Funded: February 2022 - October 2022). Grant.
Islam, Tanzima Z (Principal). Deep Learning for Predictive Performance Analysis during Application Development, Texas State University, $8000. (Funded: January 1, 2021 - Present). Grant.
Islam, Tanzima Z (Principal), Ayala, Alexis, Jensen, Quentin. Proxy Application Validation for Exascale Co-design, Department of Energy, Federal, $40000. (Funded: June 2019 - September 2019). Grant.
Islam, Tanzima Z (Co-Principal). Scientific Data Visualization course development, Oﬃce of Research and Sponsored Programs at Western Washington University, Institutional (Higher Ed), $12000. (Funded: 2018). Grant.

Selected Service Activities

Board of Directors

Bangladeshi Women in Computer Science and Engineering

2014-Present

Reviewer / Referee

DOE SciDAC Proposal Reviewer Panel

May 1, 2021-2021

Coordinator / Organizer

International Workshop on Big Data Computation, Analysis & Applications (BDCAA)

2019-2021

Attendee / Participant

NSF OAC Proposal Review Panel

2020-2020