| 2026 | MSR | The Quiet Contributions: Insights into AI-Generated Silent Pull Requests. | S. M. Mahedy Hasan, Md. Fazle Rabbi, Minhaz F. Zibran |
| 2026 | MSR | When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests. | Costain Nachuma, Minhaz F. Zibran |
| 2026 | MSR | A Task-Level Evaluation of AI Agents in Open-Source Projects. | Shojibur Rahman, Md. Fazle Rabbi, Minhaz F. Zibran |
| 2026 | SANER | The SBOM Gap: Adoption and Compliance in Open Source Software. | Md. Fazle Rabbi, Asif Kamal Turzo, Arifa I. Champa, Minhaz F. Zibran |
| 2025 | MSR | Insights into Vulnerability Trends in Maven Artifacts: Recurrence, Popularity, and User Behavior. | Courtney Bodily, Eric Hill, Andreas Kramer, Leslie Kerby, Minhaz F. Zibran |
| 2025 | MSR | Insights into Dependency Maintenance Trends in the Maven Ecosystem. | Barisha Chowdhury, Md. Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran |
| 2025 | MSR | Analyzing Dependency Clusters and Security Risks in the Maven Central Repository. | George Lake, Minhaz F. Zibran |
| 2025 | MSR | Decoding Dependency Risks: A Quantitative Study of Vulnerabilities in the Maven Ecosystem. | Costain Nachuma, Md Mosharaf Hossan, Asif Kamal Turzo, Minhaz F. Zibran |
| 2025 | MSR | Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem? | Md. Fazle Rabbi, Arifa Islam Champa, Rajshakhar Paul, Minhaz F. Zibran |
| 2025 | MSR | Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks. | Md. Fazle Rabbi, Rajshakhar Paul, Arifa Islam Champa, Minhaz F. Zibran |
| 2025 | MSR | Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management. | Md Shafiullah Shafin, Md. Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran |
| 2024 | ICAISC | Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images. | Mahjabin Rahman Oishe, S. M. Mahedy Hasan, Minhaz F. Zibran |
| 2024 | MSR | ChatGPT in Action: Analyzing Its Use in Software Development. | Arifa I. Champa, Md. Fazle Rabbi, Costain Nachuma, Minhaz F. Zibran |
| 2024 | ISPR | Revolutionizing Crop Leaf Disease Detection: A Novel Ensemble Learning Framework Using Customized EfficientNets. | Nahrin Jannat, S. M. Mahedy Hasan, Minhaz F. Zibran |
| 2023 | MSR | Insights into Female Contributions in Open-Source Projects. | Arifa I. Champa, Md. Fazle Rabbi, Minhaz F. Zibran, Md. Rakibul Islam |
| 2023 | SERA | Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors. | Arifa I. Champa, Md. Fazle Rabbi, Farjana Z. Eishita, Minhaz F. Zibran |
| 2023 | SERA | Phishy? Detecting Phishing Emails Using ML and NLP. | Md. Fazle Rabbi, Arifa I. Champa, Minhaz F. Zibran |
| 2022 | SERA | Security Versus Performance Bugs: How Bugs are Handled in the Chromium Project. | Amrit Rajbhandari, Minhaz F. Zibran, Farjana Z. Eishita |
| 2022 | SERA | Finding the Middle Ground: Measuring Passwords for Security and Memorability. | Joshua J. Rodriguez, Minhaz F. Zibran, Farjana Z. Eishita |
| 2021 | SERA | Choosing the Weapon: A Comparative Study of Security Analyzers for Android Applications. | Ryan B. Joseph, Minhaz F. Zibran, Farjana Z. Eishita |
| 2021 | SERA | Plugins to Detect Vulnerable Plugins: An Empirical Assessment of the Security Scanner Plugins for WordPress. | Daniel T. Murphy, Minhaz F. Zibran, Farjana Z. Eishita |
| 2020 | SAC | How bugs are fixed: exposing bug-fix patterns with edits and nesting levels. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2019 | SAC | MarValous: machine learning based detection of emotions in the valence-arousal space in software engineering text. | Md. Rakibul Islam, Md Kauser Ahmmed, Minhaz F. Zibran |
| 2018 | SAC | DEVA: sensing emotions in the valence arousal space in software engineering text. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2017 | ESEM | A Comparison of Dictionary Building Methods for Sentiment Analysis in Software Engineering Text. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2017 | ESEM | Security Vulnerabilities in Categories of Clones and Non-Cloned Code: An Empirical Study. | Md. Rakibul Islam, Minhaz F. Zibran, Aayush Nagpal |
| 2017 | MSR | Leveraging automated sentiment analysis in software engineering. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2017 | MSR | Insights into continuous integration build failures. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2016 | ICSE | On the effectiveness of labeled latent dirichlet allocation in automatic bug-report categorization. | Minhaz F. Zibran |
| 2016 | SERA | Towards understanding and exploiting developers' emotional variations in software engineering. | Md. Rakibul Islam, Minhaz F. Zibran |
| 2013 | SAC | Evaluating the conventional wisdom in clone removal: a genealogy-based empirical study. | Minhaz F. Zibran, Ripon K. Saha, Chanchal K. Roy, Kevin A. Schneider |
| 2012 | SAC | IDE-based real-time focused search for near-miss clones. | Minhaz F. Zibran, Chanchal K. Roy |
| 2011 | ICECCS | Analyzing and Forecasting Near-Miss Clones in Evolving Software: An Empirical Study. | Minhaz F. Zibran, Ripon K. Saha, Muhammad Asaduzzaman, Chanchal K. Roy |
| 2011 | SCAM | A Constraint Programming Approach to Conflict-Aware Optimal Scheduling of Prioritized Code Clone Refactoring. | Minhaz F. Zibran, Chanchal K. Roy |
| 2010 | SCAM | Evaluating Code Clone Genealogies at Release Level: An Empirical Study. | Ripon K. Saha, Muhammad Asaduzzaman, Minhaz F. Zibran, Chanchal K. Roy, Kevin A. Schneider |