Peer Reviewed Journal and Conference Publications
2025
N. Jannat, S. Hasan, and M. Zibran. A Novel Ensemble Approach for Crop Disease Detection by Leveraging Customized EfficientNets and Interpretability. In Elsevier Pattern Recognition Letters, ISSN 0167-8655, pp. 1 - 8, Elsevier, 2025.
M. Shafin, M. Rabbi, S. Hasan, and M. Zibran. "Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 275--279, Canada, IEEE, 2025 [Best Paper Award in mining challenge track].
M. Rabbi, A. Champa, R. Paul, and M. Zibran. "Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?" In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 265--269, Canada, IEEE, 2025.
C. Nachuma, M. Hossan, A. Turzo, and M. Zibran. "Decoding Dependency Risks: A Quantitative Study of Vulnerabilities in the Maven Ecosystem." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 270--274, Canada, IEEE, 2025.
M. Rabbi, R. Paul, A. Champa, and M. Zibran. "Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 290--294, Canada, IEEE, 2025.
B. Chowdhury, M. Rabbi, S. Hasan, and M. Zibran. "Insights into Dependency Maintenance Trends in the Maven Ecosystem." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 280--284, Canada, IEEE, 2025.
G. Lake and M. Zibran. "Analyzing Dependency Clusters and Security Risks in the Maven Central Repository." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 260--264, Canada, IEEE, 2025.
C. Bodily, E. Hill, A. Kramer, L. Kerby, and M. Zibran. "Insights into Vulnerability Trends in Maven Artifacts: Recurrence, Popularity, and User Behavior." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 285--289, Canada, IEEE, 2025.
M. Rabbi, A. Champa, and M. Zibran. "Claim vs. Capability: A Comparative Analysis of the SBOM Generation Tools for Rust Projects." In 40th ACM/SIGAPP Symposium on Applied Computing, pp. 1712--1720, Italy, ACM, 2025.
C. Nachuma, M. Fouda, and M. Zibran. "Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey." In 22nd Springer International Conference on Information Technology - New Generations (ITNG), pp. 25 - 29, USA, Springer, 2025.
Z. Beck, A. Crooks, M. Rabbi, M. Zibran, and F. Eishita. "Password Security in Practice: An Appraisal Using Users' Perception and Machine Learning." In 22nd Springer International Conference on Information Technology - New Generations (ITNG), pp. 13 - 24, USA, Springer, 2025.
A. Svancara, G. Gardener, P. Gilbreath, C. Appiagyei, E. Barlow, and M. Zibran. "Dealing with Dependency: How Dependencies Shape Release Frequency in the Maven Ecosystem." In 8th IEEE International Conference on Software and System Engineering (ICoSSE) pp. 1-6, France, IEEE, 2025 (to appear).
A. Efat, S. Hasan, and M. Zibran. "GreekNet: Handwritten Greek Alphabet Recognition Using Explainable Parallel CNN with Attention Mechanisms." In 4th International Conference on Computing and Machine Intelligence (ICMI), pp. 1-9, USA, IEEE, 2025 (to appear).
M. Bhuiyan, M. Rabbi, S. Hasan, and M. Zibran. "The Popularity Paradox: Insights into Vulnerabilities and Updates in Maven Ecosystem." In 8th IEEE International Conference on Software and System Engineering (ICoSSE), pp. 1-5, France, IEEE, 2025 (to appear).
N. Jannat, S. Hasan, M. Zibran. "Revolutionizing Crop Leaf Disease Detection: A Novel Ensemble Learning Framework Using Customized EfficientNets". In Intelligent Systems and Pattern Recognition, Communications in Computer and Information Science (CCIS) Series, Vol 2303, https://doi.org/10.1007/978-3-031-82150-9_10, pp. 114 - 129, Springer, 2025 [3rd Best Paper Award, Invited at Elsevier Pattern Recognition Letters].
M. Oishe, S. Hasan, and M. Zibran. "Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction Using Machine Learning Classifiers in OCT Images." In Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, Vol 15166, https://doi.org/10.1007/978-3-031-81596-6_29, pp. 326 - 344, Springer, 2025.
N. Bhattarai, R. Stratton, and M. Zibran. "An Empirical Study on the Evolution and Vulnerabilities of Maven Artifacts" In 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE), pp 1 - 11, Springer, 2025 (to appear).
2024
M. Rabbi, A. Champa, C. Nachuma, and M. Zibran, "SBOM Generation Tools Under Microscope: A Focus on the npm Ecosystem," In 39th ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1233–1241, Spain, 2024.
M. Rabbi, A. Champa, M. Zibran, and M. Islam, "AI Writes, We Analyze: The ChatGPT Python Code Saga," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 177 - 181, Portugal, 2024.
A. Champa, M. Rabbi, C. Nachuma, and M. Zibran, "ChatGPT in Action: Analyzing Its Use in Software Development," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 182 - 186, Portugal, 2024.
M. Islam, M. Rabbi, J. Youngeun, A. Champa, E. Young, C. Wilson, G. Scott, and M. Zibran, "A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 487 - 491, Portugal, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Why Phishing Emails Escape Detection: A Closer Look at the Failure Points" In 12th IEEE International Symposium on Digital Forensics and Security (ISDFS), pp. 1 - 6, USA, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning," In 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), pp. 1 - 7, USA, 2024.
A. Champa, M. Rabbi, M. Fouda, and M. Zibran. "Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection." In 2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, pp. 1--7, Michigan, USA, 2024.
A. Clark, D. Igbokwe, S. Ross, M. Zibran, "A Quantitative Analysis of Quality and Consistency in AI-generated Code," In 7th International Conference on Software and System Engineering (ICoSSE), pp. 37 - 41, France, 2024.
S. McDaniel and M. Zibran, "Improving Source Code with Assistance from AI - A Pilot Case Study with ChatGPT," In 7th IEEE International Conference on Information and Computer Technologies (ICICT), pp. 332 - 337, USA, 2024.
A. Hafezi, M. Zibran, and T. Deemyad, "Autonomous Surveillance Breakthrough by Implementing Facial Recognition in Dog Robots," In IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), pp. 221 - 226, USA, 2024.
2023
A. Champa, M. Rabbi, M. Zibran and M. Islam, "Insights into Female Contributions in Open-Source Projects," In 20th IEEE/ACM International Conference on Mining Software Repositories (MSR), pp. 357-361, Melbourne, Australia, 2023.
A. Champa, M. Rabbi, F. Eishita and M. Zibran, "Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 287-294, Orlando, FL, USA, 2023.
M. Rabbi, A. Champa and M. Zibran, "Phishy? Detecting Phishing Emails Using ML and NLP," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 77-83, Orlando, FL, USA, 2023.