2025 Rahman, S., Hameed, A., Srivastava, G., & Danish, S. M. (2025). RefactorCoderQA: Benchmarking LLMs for Multi-Domain Coding Question Solutions in Cloud and Edge Deployment. Submitted to IEEE Transactions on Services Computing, Impact factor: 5.8. [Accepted]

2025 Masry, A., Islam, M. S., Ahmed, M., Bajaj, A., Kabir, F., Kartha, A., Laskar, M. T. R., Rahman, M., Rahman, S., Shahmohammadi, M., Thakkar, M., Parvez, M. R., Hoque, E., & Joty, S. (2025). ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering. In Findings of the Association for Computational Linguistics: ACL 2025 (pp. 19123–19151). Vienna, Austria. [‡ Equal contribution]

2025 Ashraf, H., Danish, S. M., & Sattar, Z. (2025). Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation. Accepted in Foundation and Large Language Models (FLLM 2025).

2025 Kartha, A., Masry, A., Islam, M. S., Lang, T., Rahman, S., Mahbub, R., Rahman, M., et al. (2025). DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards. Accepted to EACL Finding 2026.

2025 Rahman, S., Shanto, H. K., Koana, U. A., & Danish, S. M. (2025). Automated Research Article Classification and Recommendation Using NLP and ML. Accepted in Foundation and Large Language Models (FLLM 2025)..

2025 Shanto, H. K., Koana, U. A., & Rahman, S. (2025). Multi-Armed Bandits-Based Optimization of Decision Trees. Accepted in International Conference on Optimization and Applications (ICOA2025).

2024 Koana, U. A., Le, Q. H., Rahman, S., et al. (2024). Examining Ownership Models in Software Teams. Empirical Software Engineering, 29(155).

2024 Rahman, S. (2024). Enhancing Code Review for Improved Code Quality with Language Model-Driven Approaches. Thesis.

2023 Rahman, S., Ahmed, F., & Nayebi, M. (2023). Mining Reddit Data to Elicit Students’ Requirements During COVID-19 Pandemic. In IEEE 31st International Requirements Engineering Conference Workshops (REW). IEEE.

2022 Rahman, S., Koana, U. A., & Nayebi, M. (2022). Example-Driven Code Review Explanation. In Proceedings of the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM).

2022 Basalamah, A., & Rahman, S. (2022). An Optimized CNN Model Architecture for Detecting Coronavirus (COVID-19) with X-Ray Images. Computer Systems Science & Engineering, 40(1).

2021 Rahman, S., et al. (2021). Estimating the Effective Topics of Articles and Journals Abstract Using LDA and K-Means Clustering Algorithm. In Advances in Data Science and Information Engineering (ICDATA 2020 & IKE 2020). Springer.

2020 Koana, U. A., Rahman, S., Hasan, F., Ismael, A. M., & Hussein, K. (2020). SW Release Challenges: A Case Study with Mitigation Plan Using Semi-Automated Process. Management, 29(8), 4942–4949.

2020 Rahman, S., et al. (2020). Measuring the Effectiveness of Code Review Comments in GitHub Repositories: A Machine Learning Approach. Machine Learning and Data Mining in Pattern Recognition, 16, 35–48.

2020 Rahman, S., et al. (2020). Assessing the Effectiveness of Topic Modeling Algorithms in Discovering Generic Labels with Description. In Advances in Information and Communication (FICC 2020, Vol. 2). Springer.

2019 Hossain, S. S., Ul-Hassan, M. R., & Rahman, S. (2019). Polynomial Topic Distribution with Topic Modeling for Generic Labeling. In Advances in Computing and Data Sciences (ICACDS 2019, Part II). Springer.

2019 Rahman, S., et al. (2019). Context-Based News Headlines Analysis Using Machine Learning Approach. In Computational Collective Intelligence (ICCCI 2019, Part II). Springer.

2019 Hossain, S. S., et al. (2019). Customer Feedback Prioritization Technique: A Case Study on Lean Startup. In Computational Science and Its Applications – ICCSA 2019 (Part V). Springer.