Biography

My PhD research specialization is Computer Vision, where I have several peer-reviewed publications. I developed a novel model-free algorithm for arbitrary shape detection and pseudo-labeling. I have also proposed image segmentation models for defect identification in ultrasonic non-destructive inspection (NDI). My published research also spans Natural Language Processing (NLP), Machine Learning (ML), and Information Visualization (InfoViz). Currently, I am working on developing a multimodal LLM to identify regions of interest in microscopic scans.

Publications

  • 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
  • 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
  • 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
  • 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
  • A. Shams, Ehsanul Hoque Apu, Ashiqur Rahman, Md Mohsin Sarker Raihan, Nazeeba Siddika, Rahat Bin Preo, Molla Rashied Hussein, Shabnam Mostari, and R. Kabir (2021). Web search engine misinformation notifier extension (SEMiNExt): A machine learning based approach during COVID-19 pandemic. Healthcare 9, 2 (February 2021), 156. https://doi.org/10.3390/healthcare9020156
  • 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/