We have impactful publications in various areas of computer science, including data science, machine learning, and artificial intelligence. Below is a list of selected publications from our team members.

2025

  • Ashiqur Rahman, and Hamed Alhoori (2025). Proposing a Framework for Machine Learning Adoption on Legacy Systems. arXiv [cs.LG]. https://doi.org/10.48550/arXiv.2509.24224
  • Ashiqur Rahman, Venkata Devesh Reddy Seethi, Austin Yunker, Zachary Kral, Rajkumar Kettimuthu, and Hamed Alhoori (2025). Effective defect detection using instance segmentation for NDI. arXiv [cs.CV]. https://doi.org/10.48550/arXiv.2501.1414
  • I. A. Azher, M. J. Mokarrama, Z. Guo, S. R. Choudhury, H. Alhoori. BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text. 📄 PDF
  • I. A. Azher, M. J. Mokarrama, Z. Guo, S. R. Choudhury, H. Alhoori. FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Articles. International Workshop on AI for Scientific Communication (Ai4SC), IEEE eScience 2025, Chicago. 📄 PDF
  • T. Azad, I. A. Azher, S. R. Choudhury, H. Alhoori. Predicting Scholarly Impact with Retrieval-Augmented LLMs. Association of Computational Linguistics (ACL), Scholarly Document Processing (SDProc), 2025, Vienna, Austria. 📄 PDF
  • M. Shahzad, J. Wilson, I. A. Azher, H. Alhoori, M. Rahimi. From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks. 2nd International Workshop on Large Language Models for Code (LLM4Code), ICSE 2025. 📄 PDF

2024

  • Venkata Devesh Reddy Seethi, Ashiqur Rahman, Austin Yunker, Rami Lake, Zachary Kral, Rajkumar Kettimuthu, and Hamed Alhoori (2024). Mixture-of-experts for multi-domain defect identification in non-destructive inspection. In 2024 International Conference on Machine Learning and Applications (ICMLA), December 18, 2024. IEEE, 1283–1288. https://doi.org/10.1109/icmla61862.2024.00200
  • Ashiqur Rahman, Ehsan Mohammadi, and Hamed Alhoori (2024). Public interest in science or bots? Selective amplification of scientific articles on Twitter. Aslib J. Inf. Manag. ahead-of-print, ahead-of-print (September 2024). https://doi.org/10.1108/AJIM-01-2024-0050
  • Ashiqur Rahman, Ehsan Mohammadi, and Hamed Alhoori (2024). Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination. Natural Language Processing Journal 8, (September 2024), 100085. https://doi.org/10.1016/j.nlp.2024.100085
  • Samiha S. Shimmi, Ashiqur Rahman, Mohan Gadde, Hamed Okhravi, and Mona Rahimi (2024). VulSim: Leveraging similarity of multi-dimensional neighbor embeddings for vulnerability detection. USENIX Secur Symp (2024), 1777–1794. Retrieved August 23, 2024 from https://www.usenix.org/system/files/usenixsecurity24-shimmi.pdf
  • I. A. Azher, V. R. Seethi, A. P. Akella, H. Alhoori. LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles’ Limitations. 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL), December 2024, Hong Kong. 📄 PDF
  • I. A. Azher, H. Alhoori. Generating Suggestive Limitations from Research Articles Using LLM and Graph-Based Approach. 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL), December 2024, Hong Kong. 📄 PDF
  • I. A. Azher, H. Alhoori. Mitigating Visual Limitations of Research Papers. 2024 IEEE International Conference on Big Data (IEEE BigData), December 2024, Washington D.C. 📄 PDF
  • C. Muasher-Kerwin, M. C. Hughes, M. Foster, I. A. Azher, H. Alhoori. Exploring Large Language Models for Summarizing and Interpreting an Online Brain Tumor Support Forum. Sage Journal. 📄 PDF
  • H. Verma, M. J. Mokarrama, I. A. Azher, H. Alhoori. “A Comparative Study of ORKG and LLM Identified Research Contributions.” 2nd Workshop on Innovation Measurement for Scientific Communication (IMSC), JCDL 2024, Hong Kong.

2023

  • Ashiqur Rahman and Hamed Alhoori (2023). Visualizing Relation Between (De)Motivating Topics and Public Stance Toward COVID-19 Vaccine. In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), October 03, 2023. 299–300. https://doi.org/10.1109/JCDL57899.2023.00067

2022

  • Ashiqur Rahman (2022). Modeling and Visualization of Long-Term Public Opinion on COVID-19 Vaccine. MS. Northern Illinois University, DeKalb, IL. https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/7577

2021

  • Akella, Akhil Pandey, Hamed Alhoori, Pavan Ravikanth Kondamudi, Cole Freeman, and Haiming Zhou (2021). “Early indicators of scientific impact: Predicting citations with altmetrics.” Journal of Informetrics 15, no. 2: 101128. https://doi.org/10.1016/j.joi.2020.101128

2020

  • Ashiqur Rahman, Venkata Devesh Reddy Seethi, Simon Shulgan, Rui Zhang, Ehsan Mohammadi, and Hamed Alhoori (2020). Analyzing Twitter bot activity on academic articles. In 12th International Conference on Social Media & Society, July 2020. Social Media & Society, Online. https://socialmediaandsociety.org/2020-2/2020-accepted-papers/