A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Battling Phish: An Empirical Comparison of ML, DL, and LLM in Phishing URL Detection Across Datasets”, in 41st ACM/SIGAPP Symposium on Applied Computing (SAC), Greece, 2026 (to appear).

M. F. Rabbi, A. K. Turzo, A. I. Champa, and M. F. Zibran, “The SBOM Gap: Adoption and Compliance in Open Source Software”, in 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Cyprus, 2026 (to appear).

M. F. Rabbi, A. I. Champa, R. Paul, and M. F. Zibran, “Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?”, in 22nd International Conference on Mining Software Repositories (MSR), 2025. 

M. F. Rabbi, R. Paul, A. I. Champa, and M. F. Zibran, “Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks”, in 22nd International Conference on Mining Software Repositories (MSR), 2025.

M. F. Rabbi, A. I. Champa, and M. Zibran. “Claim vs. Capability: A Comparative Analysis of the SBOM Generation Tools for Rust Projects,” 40th ACM/SIGAPP Symposium On Applied Computing (SAC), 2025. 

A. I. Champa, M. F. Rabbi, Mostafa M. Fouda, and M. F. Zibran , "Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection," 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), 2024. 

A. I. Champa, M. F. Rabbi, and M. F. Zibran, “ChatGPT in action: Analyzing its use in software development”, in 21st International Conference on Mining Software Repositories (MSR), 2024. 

M. F. Rabbi, A. I. Champa, M. F. Zibran, and M. R. Islam, “AI Writes, We Analyze: The ChatGPT Python Code Saga”, in 21st International Conference on Mining Software Repositories (MSR), 2024. 

A. I. Champa, M. F. Rabbi, and M. Zibran. “Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning,” 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), 2024. 

M. R. Islam, M. F. Rabbi, J. Youngeun, A. I. Champa, E. J. Young, C. M. Wilson, G. J Scott, and M. F. Zibran, “A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering”, in 21st International Conference on Mining Software Repositories (MSR), 2024.

M. F. Rabbi, A. I. Champa, C. Nachuma, and M. Zibran. “SBOM Generation Tools Under Microscope: A Focus on the npm Ecosystem,” 39th ACM/SIGAPP Symposium On Applied Computing (SAC), 2024. 

A. I. Champa, M. F. Rabbi, and M. Zibran. “Why Phishing Emails Escape Detection: A Closer Look at the Failure Points,” 12th International Symposium on Digital Forensics and Security (ISDFS), 2024. 

A. I. Champa, M. F. Rabbi, M. F. Zibran, and M. R. Islam, “Insights into Female Contributions in Open-Source Projects,” IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 2023.

A. I. Champa, M. F. Rabbi, F. Z. Eishita, and M. F. Zibran, “Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors,” 21st IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA), 2023.

M. F. Rabbi, A. I. Champa, and M. F. Zibran, “Phishy? Detecting Phishing Emails Using ML and NLP,” 21st IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA), 2023.

A. I. Champa, M. F. Rabbi, S. M. Mahedy Hasan, A. Zaman and M. H. Kabir, “Tree-Based Classifier for Hyperspectral Image Classification via Hybrid Technique of Feature Reduction,” International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021.

M. F. Rabbi, S. M. M. Hasan, A. I. Champa, M. R. Hossain and M. A. Zaman, “A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images,” Proceedings of the International Conference on Big Data, IoT, and Machine Learning (BIM 2022).

M. F. Rabbi, S. M. M. Hasan, A. I. Champa and M. A. Zaman, “A Convolutional Neural Network Model for Early-Stage Detection of Autism Spectrum Disorder,” International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021.

S. M. M. Hasan, M. F. Rabbi, A. I. Champa and M. A. Zaman, “A Comparative Study of Classification Approaches for COVID-19 Prediction,” International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021.

A. I. Champa, S. M. M. Hasan, M. A. Rahman and M. F. Rabbi, “Hybrid Technique for Classification of Hyperspectral Image Using Quadratic Mutual Information,” IEEE Region 10 Symposium (TENSYMP), 2020.

S. M. M. Hasan, M. F. Rabbi, A. I. Champa and M. A. Zaman, “A Machine Learning Based Model for Early Stage Detection of Diabetes,” 23rd International Conference on Computer and Information Technology (ICCIT), 2020.

S. M. M. Hasan, M. F. Rabbi, A. I. Champa and M. A. Zaman, “An Effective Diabetes Prediction System Using Machine Learning Techniques,” 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020.

M. F. Rabbi, S. M. M. Hasan, A. I. Champa, M. A. Zaman and M. K. Hasan, “Prediction of Liver Disorders using Machine Learning Algorithms: A Comparative Study,” International Conference on Advanced Information and Communication Technology (ICAICT), 2020.

A. I. Champa, M. F. Rabbi and N. Banik, “Improvement in Hyperspectral Image Classification by Using Hybrid Subspace Detection Technique,” International Conference on Sustainable Technologies for Industry 4.0 (STI) 2019.

 A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Illustration or Illusion? Reassessing the Use of Machine Learning in Phishing Email Detection,” Studies in Computational Intelligence (SCI), 2025.

C. Nachuma, M. F. Rabbi, A. I. Champa, and M. F. Zibran, “Analyzing ChatGPT Assistance in Programming,” Studies in Computational Intelligence (SCI), 2025.

A. I. Champa, M. F. Rabbi, F. Z. Eishita, and M. F. Zibran, “Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors,” Studies in Computational Intelligence (SCI), 2024.

M. F. Rabbi, A. I. Champa, and M. F. Zibran, “Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing,” Studies in Computational Intelligence (SCI), 2024.

S. M. Mahedy Hasan, M. F. Rabbi, A. I. Champa, and M. A. Zaman, “Machine Learning Based Models for Predicting Autism Spectrum Disorders,” Applied Intelligence for Industry 4.0, 2023.

 A. I. Champa, M. F. Rabbi,  F. Eishita, and M. F. Zibran, “Trick or Treat: A Study of Human Detection of Manipulative Tactics in Phishing Emails”, in International Workshop on Safety-Security Interaction (SENSEI), Lecture Notes in Computer Science, Springer, 2025.

A. I. Champa, M. F. Rabbi, F. Eishita, and M. Zibran, “Training the Human Firewall: Strengthening Phishing Defense with Visual Cues and Feedback,” in 34th USENIX Security Symposium, Seattle, WA, USA, 2025.

M. F. Rabbi, R. Paul, A. I. Champa, and M. Zibran, “Prolonged Risk: Vulnerability Lifecycles in Maven,” in 34th USENIX Security Symposium, Seattle, WA, USA, 2025.

A. I. Champa, M. F. Rabbi, and M. F. Zibran, "Enhancing Phishing Awareness Through Visual Cues and Feedback-Based Learning" in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2025.

M. F. Rabbi, R. Paul, A. I. Champa, and M. F. Zibran, "Exploring Maven Ecosystem Vulnerabilities and Delays", in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2025.

M. F. Rabbi, A. I. Champa, R. paul, and M. F. Zibran, "Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?" in EEE/ACM International Conference on Software Engineering (ICSE), Ottawa, Canada, 2025.

A. I. Champa, M. F. Rabbi, F. Z. Eishita, and M. F. Zibran, “See, Learn, Act: Visual Cues in Learning to Detect Phishing Attempts ” in Research and Creative Works Symposium, ISU, USA, 2025.

M. F. Rabbi, R. Paul, A. I. Champa, and M. F. Zibran, "From Discovery to Fix: The Journey of Software Vulnerabilities", in Research and Creative Works Symposium, ISU, USA, 2025.

A. I. Champa, M. F. Rabbi, and M. F. Zibran, "Crafting the Shield Against Email Phishing with Curated Datasets" in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2024.

C. Nachuma, M. F. Rabbi, A. I. Champa, and M. F. Zibran, "Evaluating the Code Quality and Security of AI-generated Python Code" in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2024. [*Best Poster Award*]

M. F. Rabbi, A. I. Champa, and M. F. Zibran, "ChatGPT in Aiding Software Development: An Emperical Study" in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2024.

A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Crafting the Shield: Curated Email Datasets for Phishing Detection Using Machine Learning” in Graduate Research Symposium, ISU, USA, 2024.

M. F. Rabbi, A. I. Champa, and M. F. Zibran, “Insights into AI-Generated Python Code: Quality and Security Analysis” in Graduate Research Symposium, ISU, USA, 2024.

C. Nachuma, M. F. Rabbi, A. I. Champa, and M. F. Zibran, ”Insights into the Use of ChatGPT in Programming” in Graduate Research Symposium, ISU, USA, 2024.

A. I. Champa, M. F. Rabbi, and M. F. Zibran, "Insights into Gender-wise Contributions in Software Development Projects”  in Graduate Research Symposium, ISU, USA, 2023.

M. F. Rabbi, A. I. Champa, and M. F. Zibran, "Phishing Email Detection Using Machine Learning and Natural Language Processing” in Graduate Research Symposium, ISU, USA, 2023.