| 2025 | CCGRID | xAMM: "Attention" to Details Improves Cross-Platform Prediction Accuracy. | Aakash Raj Dhakal, Tanzima Z. Islam, Arunavo Dey, Daniel Nichols, Abhinav Bhatele, Tapasya Patki, Tom Scogland, Jae-Seung Yeom |
| 2025 | HPDC | ModelX : A Novel Transfer Learning Approach Across Heterogeneous Datasets. | Arunavo Dey, Neil Antony, Aakash Raj Dhakal, Kowshik Thopalli, Jayaraman J. Thiagarajan, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Jae-Seung Yeom, Tanzima Z. Islam |
| 2025 | ICASSP | 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 |
| 2025 | SC | HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. | Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Rashadul Kabir, Kevin Menear, Dmitry Duplyakin, Tapasya Patki, Terry R. Jones, Feiyi Wang |
| 2024 | COMPSAC | PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI. | Banooqa H. Banday, Tanzima Z. Islam, Aniruddha Marathe |
| 2024 | COMPSAC | 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 |
| 2024 | COMPSAC | 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 |
| 2024 | COMPSAC | Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures. | Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic |
| 2024 | SC | 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 |
| 2023 | COMPSAC | Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing. | Arunavo Dey, Tanzima Z. Islam, Chase Phelps, Christopher Kelly |
| 2023 | COMPSAC | Automatic Parallelization of Cellular Automata for Heterogeneous Platforms. | Chase Phelps, Tanzima Z. Islam |
| 2023 | ICMLA | Novel Representation Learning Technique Using Graphs for Performance Analytics. | Tarek Ramadan, Ankur Lahiry, Tanzima Z. Islam |
| 2022 | COMPSAC | LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool. | Holland Schutte, Chase Phelps, Aniruddha Marathe, Tanzima Z. Islam |
| 2021 | COMPSAC | 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 |
| 2021 | COMPSAC | FILCIO: Application Agnostic I/O Aggregation to Scale Scientific Workflows. | Quentin Jensen, Filip Jagodzinski, Tanzima Z. Islam |
| 2021 | HiPC | HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects. | Tanzima Z. Islam, Chase Phelps |
| 2021 | ISPASS | Comparative Code Structure Analysis using Deep Learning for Performance Prediction. | Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Nathan Pinnow, Jayaraman J. Thiagarajan |
| 2020 | COMPSAC | Towards Aggregation Based I/O Optimization for Scaling Bioinformatics Applications. | Jack Stratton, Michael Albert, Quentin Jensen, Max Ismailov, Filip Jagodzinski, Tanzima Z. Islam |
| 2019 | SC | Toward a Programmable Analysis and Visualization Framework for Interactive Performance Analytics. | Tanzima Z. Islam, Alexis Ayala, Quentin Jensen, Khaled Z. Ibrahim |
| 2019 | SC | Performance optimality or reproducibility: that is the question. | Tapasya Patki, Jayaraman J. Thiagarajan, Alexis Ayala, Tanzima Z. Islam |
| 2016 | HiPC | CMT-Bone - A Proxy Application for Compressible Multiphase Turbulent Flows. | Tania Banerjee, Jason Hackl, Mrugesh Shringarpure, Tanzima Z. Islam, S. Balachandar, Thomas L. Jackson, Sanjay Ranka |
| 2016 | SC | A machine learning framework for performance coverage analysis of proxy applications. | Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin |