FALCON: a system for reliable checkpoint recovery in shared grid environments. - Tanzima Zerin Islam; Saurabh Bagchi; Rudolf Eigenmann (SC, 2009)

McrEngine: A scalable checkpointing system using data-aware aggregation and compression. - Tanzima Zerin Islam; Kathryn M. Mohror; Saurabh Bagchi; Adam Moody; Bronis R. de Supinski; Rudolf Eigenmann (Sci. Program., 2013)

Reliable and scalable checkpointing systems for distributed computing environments - Tanzima Zerin Islam (2013)

Exploring the Capabilities of the New MPI_T Interface. - Tanzima Z. Islam; Kathryn M. Mohror; Martin Schulz 001 (EuroMPI/ASIA, 2014)

Batchsubmit: a high-volume batch submission system for earthquake engineering simulation. - Anup Mohan; Thomas J. Hacker; Gregory P. Rodgers; Tanzima Z. Islam (Concurr. Comput. Pract. Exp., 2014)

Reliable and Efficient Distributed Checkpointing System for Grid Environments. - Tanzima Zerin Islam; Saurabh Bagchi; Rudolf Eigenmann (J. Grid Comput., 2014)

CMT-Bone - A Proxy Application for Compressible Multiphase Turbulent Flows. - Tania Banerjee; Jason Hackl; Mrugesh Shringarpure; Tanzima Z. Islam; S. Balachandar 001; Thomas L. Jackson; Sanjay Ranka (HiPC, 2016)

I/O Aware Power Shifting. - Lee Savoie; David K. Lowenthal; Bronis R. de Supinski; Tanzima Z. Islam; Kathryn M. Mohror; Barry Rountree; Martin Schulz 001 (IPDPS, 2016)

A machine learning framework for performance coverage analysis of proxy applications. - Tanzima Z. Islam; Jayaraman J. Thiagarajan; Abhinav Bhatele; Martin Schulz 001; Todd Gamblin (SC, 2016)

Exploring the MPI tool information interface: features and capabilities. - Tanzima Z. Islam; Kathryn M. Mohror; Martin Schulz 001 (Int. J. High Perform. Comput. Appl., 2016)

MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers. - Teng Wang 001; Adam Moody; Yue Zhu 002; Kathryn M. Mohror; Kento Sato; Tanzima Z. Islam; Weikuan Yu (IPDPS, 2017)

A new proxy application for compressible multiphase turbulent flows. - Tania Banerjee; Jason Hackl; Mrugesh Shringarpure; Tanzima Z. Islam; S. Balachandar 001; Thomas L. Jackson; Sanjay Ranka (Sustain. Comput. Informatics Syst., 2017)

Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations. - Nicholas Majeske; Filip Jagodzinski; Brian Hutchinson; Tanzima Z. Islam (BCB, 2018)

PADDLE: Performance Analysis Using a Data-Driven Learning Environment. - Jayaraman J. Thiagarajan; Rushil Anirudh; Bhavya Kailkhura; Nikhil Jain; Tanzima Z. Islam; Abhinav Bhatele; Jae-Seung Yeom; Todd Gamblin (IPDPS, 2018)

Toward a Programmable Analysis and Visualization Framework for Interactive Performance Analytics. - Tanzima Z. Islam; Alexis Ayala; Quentin Jensen; Khaled Z. Ibrahim (ProTools@SC, 2019)

Performance optimality or reproducibility: that is the question. - Tapasya Patki; Jayaraman J. Thiagarajan; Alexis Ayala; Tanzima Z. Islam (SC, 2019)

Towards Aggregation Based I/O Optimization for Scaling Bioinformatics Applications. - Jack Stratton; Michael Albert 006; Quentin Jensen; Max Ismailov; Filip Jagodzinski; Tanzima Z. Islam (COMPSAC, 2020)

Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. - Ritu Arora; Xiaosong Li; Bonnie Hurwitz; Daniel Fay; Dhabaleswar K. Panda 001; Edward F. Valeev; Shaowen Wang 001; Shirley Moore; Sunita Chandrasekaran; Ting Cao; Holly Bik; Matthew Curry; et al. (CoRR, 2020)

College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis. - Tanzima Z. Islam; Philip Wu Liang; Forest Sweeney; Cody Pranger; Jayaraman J. Thiagarajan; Moushumi Sharmin; Shameem Ahmed (COMPSAC, 2021)

FILCIO: Application Agnostic I/O Aggregation to Scale Scientific Workflows. - Quentin Jensen; Filip Jagodzinski; Tanzima Z. Islam (COMPSAC, 2021)

HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects. - Tanzima Z. Islam; Chase Phelps (HiPC Workshops, 2021)

Comparative Code Structure Analysis using Deep Learning for Performance Prediction. - Tarek Ramadan; Tanzima Z. Islam; Chase Phelps; Nathan Pinnow; Jayaraman J. Thiagarajan (ISPASS, 2021)

LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool. - Holland Schutte; Chase Phelps; Aniruddha Marathe; Tanzima Z. Islam (COMPSAC, 2022)

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. - Ishan Abhinit; Emily K. Adams; Khairul Alam; Brian Chase; Ewa Deelman; Lev Gorenstein; Stephen Hudson; Tanzima Z. Islam; Jeffrey Larson 001; Geoffrey Lentner; Anirban Mandal; John-Luke Navarro; et al. (WORKS@SC, 2022)

Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing. - Arunavo Dey; Tanzima Z. Islam; Chase Phelps; Christopher Kelly (COMPSAC, 2023)

Automatic Parallelization of Cellular Automata for Heterogeneous Platforms. - Chase Phelps; Tanzima Z. Islam (COMPSAC, 2023)

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. - Bogdan Nicolae; Tanzima Z. Islam; Robert B. Ross; Huub J. J. Van Dam; Kevin Assogba; Polina Shpilker; Mikhail Titov; Matteo Turilli; Tianle Wang 001; Ozgur O. Kilic; Shantenu Jha; Line C. Pouchard (e-Science, 2023)

Novel Representation Learning Technique Using Graphs for Performance Analytics. - Tarek Ramadan; Ankur Lahiry; Tanzima Z. Islam (ICMLA, 2023)

PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI. - Banooqa H. Banday; Tanzima Z. Islam; Aniruddha Marathe (COMPSAC, 2024)

Relative Performance Prediction Using Few-Shot Learning. - Arunavo Dey; Aakash Dhakal; Tanzima Z. Islam; Jae-Seung Yeom; Tapasya Patki; Daniel Nichols; Alexander Movsesyan; Abhinav Bhatele (COMPSAC, 2024)

Reimagine Application Performance as a Graph: Novel Graph-Based Method for Performance Anomaly Classification in High-Performance Computing. - Chase Phelps; Ankur Lahiry; Tanzima Z. Islam; Line C. Pouchard (COMPSAC, 2024)

Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures. - Mohammad Zaeed; Tanzima Z. Islam; Vladimir Indic (COMPSAC, 2024)

Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms. - Amal Gueroudji; Chase Phelps; Tanzima Z. Islam; Philip H. Carns; Shane Snyder; Matthieu Dorier; Robert B. Ross; Line C. Pouchard (SC Workshops, 2024)

Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations. - Tanzima Z. Islam; Aniruddha Marathe; Holland Schutte; Mohammad Zaeed (CoRR, 2024)

On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation. - Banooqa H. Banday; Kowshik Thopalli; Tanzima Z. Islam; Jayaraman J. Thiagarajan (ICASSP, 2025)

Structure-Aware Representation Learning for Effective Performance Prediction. - Tarek Ramadan; Nathan Pinnow; Chase Phelps; Jayaraman J. Thiagarajan; Tanzima Z. Islam (Concurr. Comput. Pract. Exp., 2025)

WANDER: An Explainable Decision-Support Framework for HPC. - Ankur Lahiry; Banooqa H. Banday; Tanzima Z. Islam (CoRR, 2025)

Scalable GPU Performance Variability Analysis framework. - Ankur Lahiry; Ayush Pokharel; Seth Ockerman; Amal Gueroudji; Line Pouchard; Tanzima Z. Islam (CoRR, 2025)