| 2026 | MSR | An Empirical Study of Policy as Code: Adoption, Purpose, and Maintenance. | Ruben Opdebeeck, Mahmoud Alfadel, Akond Rahman, Yutaro Kashiwa, Joo F. Ferreira, Raula Gaikovina Kula, Coen De Roover |
| 2026 | NSDI | Who Watches the Watchers? On the Reliability of Softwarizing Cloud Application Management. | Jiawei Tyler Gu, Zhen Tang, Yiming Su, Bogdan Alexandru Stoica, Xudong Sun, William X. Zheng, Yue Zhang, Akond Rahman, Chen Wang, Tianyin Xu |
| 2025 | COMPSAC | White-box Fuzzing in the Wild: A Chaos Engineering Module for DevOps Security Education. | Md. Mostafizur Rahman, Md Bajlur Rashid, Abdul Barek, ABM Kamrul Islam Riad, Md. Abdur Rahman, Hossain Shahriar, Akond Rahman, Fan Wu, Guillermo Francia III, Md. Jobair Hossain Faruk, Sharaban Tahora |
| 2025 | ICSE | An Exploratory Study of Security Vulnerabilities in Machine Learning Deployment Projects. | Akond Rahman, Anthony Skjellum, Yue Zhang |
| 2025 | ICSE | On Prescription or Off Prescription? An Empirical Study of Community-Prescribed Security Configurations for Kubernetes. | Shazibul Islam Shamim, Hanyang Hu, Akond Rahman |
| 2024 | CCS | Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns. | Jan H. Klemmer, Stefan Albert Horstmann, Nikhil Patnaik, Cordelia Ludden, Cordell Burton Jr., Carson Powers, Fabio Massacci, Akond Rahman, Daniel Votipka, Heather Richter Lipford, Awais Rashid, Alena Naiakshina, Sascha Fahl |
| 2024 | COMPSAC | Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module. | Abdul Barek, Md. Mostafizur Rahman, Mst. Shapna Akter, ABM Kamrul Islam Riad, Md. Abdur Rahman, Hossain Shahriar, Akond Rahman, Fan Wu |
| 2024 | COMPSAC | Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis. | Md. Mostafizur Rahman, Abdul Barek, Mst. Shapna Akter, ABM Kamrul Islam Riad, Md. Abdur Rahman, Hossain Shahriar, Akond Rahman, Fan Wu |
| 2024 | FIE | Challenges and Preferences of Learning Machine Learning: A Student Perspective. | Effat Farhana, Fan Wu, Hossain Shahriar, Shubhra Kanti Karmaker Santu, Akond Rahman |
| 2024 | FIE | Students Perceptions of Authentic Learning for Learning Information Flow Analysis. | Akond Rahman, Fan Wu, Hossain Shahriar |
| 2024 | MSR | Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests. | Yue Zhang, Rachel Meredith, Wilson Reeves, Julia Coriolano, Muhammad Ali Babar, Akond Rahman |
| 2024 | SIGCSE | Student Perceptions of Authentic Learning to Learn White-box Testing. | Akond Rahman, Yue Zhang, Fan Wu, Hossain Shahriar |
| 2023 | COMPSAC | Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. | Mst. Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Ashiqur Rahman, Akond Rahman, Fan Wu |
| 2023 | COMPSAC | A Plugin for Kotlin based Android Apps to Detect Security Breaches through Dataflow. | Md Arabin Islam Talukder, Sumaiya Farzana Mishu, Hossain Shahriar, ABM Kamrul Islam Riad, Fan Wu, Akond Rahman |
| 2023 | ICSA | Quality Assurance for Infrastructure Orchestrators: Emerging Results from Ansible. | Yue Zhang, Muktadir Rahman, Fan Wu, Akond Rahman |
| 2023 | ICSA | Practitioner Perceptions of Ansible Test Smells. | Yue Zhang, Fan Wu, Akond Rahman |
| 2022 | COMPSAC | Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects. | Farzana Ahamed Bhuiyan, Stacy J. Prowell, Hossain Shahriar, Fan Wu, Akond Rahman |
| 2022 | COMPSAC | Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? | Mohammad Masum, Mohammad Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Md Abdullah Hafiz Khan, Gias Uddin, Shabir Barzanjeh, Erhan Saglamyurek, Akond Rahman, Sheikh Iqbal Ahamed |
| 2022 | COMPSAC | Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries. | Akond Rahman, Farzana Ahamed Bhuiyan, Mohammad Mehedi Hassan, Hossain Shahriar, Fan Wu |
| 2022 | COMPSAC | Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. | Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman |
| 2022 | ICST | As Code Testing: Characterizing Test Quality in Open Source Ansible Development. | Mohammad Mehedi Hassan, Akond Rahman |
| 2022 | ISSRE | Investigating Novel Approaches to Defend Software Supply Chain Attacks. | Md. Jobair Hossain Faruk, Masrura Tasnim, Hossain Shahriar, Maria Valero, Akond Rahman, Fan Wu |
| 2022 | ITiCSE | Can We use Authentic Learning to Educate Students about Secure Infrastructure as Code Development? | Akond Rahman, Md. Shazibul Islam Shamim, Hossain Shahriar, Fan Wu |
| 2022 | TrustCom | Development of Blockchain-based e-Voting System: Requirements, Design and Security Perspective. | Md. Jobair Hossain Faruk, Bilash Saha, Mazharul Islam, Fazlul Alam, Hossain Shahriar, Maria Valero, Akond Rahman, Fan Wu, Md. Zakirul Alam Bhuiyan |
| 2021 | COMPSAC | An Empirical Study of Vulnerabilities in Robotics. | Kaitlyn Cottrell, Dibyendu Brinto Bose, Hossain Shahriar, Akond Rahman |
| 2021 | FIE | How Do Students Feel About Automated Security Static Analysis Exercises? | Akond Rahman, Hossain Shahriar, Dibyendu Brinto Bose |
| 2021 | QUATIC | Exercise Perceptions: Experience Report from a Secure Software Development Course. | Akond Rahman, Hossain Shahriar, Dibyendu Brinto Bose |
| 2020 | ICSE | Gang of eight: a defect taxonomy for infrastructure as code scripts. | Akond Rahman, Effat Farhana, Chris Parnin, Laurie A. Williams |
| 2019 | CVPR | Blockchain Enabled AI Marketplace: The Price You Pay for Trust. | Kanthi K. Sarpatwar, Venkata Sitaramagiridharganesh Ganapavarapu, Karthikeyan Shanmugam, Akond Rahman, Roman Vaculn |
| 2019 | ESEM | Characterizing Attacker Behavior in a Cybersecurity Penetration Testing Competition. | Nuthan Munaiah, Akond Rahman, Justin Pelletier, Laurie A. Williams, Andrew Meneely |
| 2019 | ICSE | The seven sins: security smells in infrastructure as code scripts. | Akond Rahman, Chris Parnin, Laurie A. Williams |
| 2019 | MSR | Challenges with responding to static analysis tool alerts. | Nasif Imtiaz, Akond Rahman, Effat Farhana, Laurie A. Williams |
| 2019 | MSR | Snakes in paradise?: insecure python-related coding practices in stack overflow. | Akond Rahman, Effat Farhana, Nasif Imtiaz |
| 2018 | ICSE | We don't need another hero?: the impact of "heroes" on software development. | Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies |
| 2018 | ICSE | What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. | Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies |
| 2018 | ICSE | Characteristics of defective infrastructure as code scripts in DevOps. | Akond Rahman |
| 2018 | ICSE | What questions do programmers ask about configuration as code? | Akond Rahman, Asif Partho, Patrick Morrison, Laurie A. Williams |
| 2018 | ICSE | Defect prediction metrics for infrastructure as code scripts in DevOps. | Akond Rahman, Jonathan Stallings, Laurie A. Williams |
| 2018 | ICST | Anti-Patterns in Infrastructure as Code. | Akond Rahman |
| 2018 | ICST | Characterizing Defective Configuration Scripts Used for Continuous Deployment. | Akond Rahman, Laurie A. Williams |
| 2018 | MSR | Comprehension effort and programming activities: related? or not related? | Akond Rahman |
| 2017 | ICSE | Which Factors Influence Practitioners' Usage of Build Automation Tools? | Akond Rahman, Asif Partho, David Meder, Laurie A. Williams |
| 2017 | ICSE | Predicting Android Application Security and Privacy Risk with Static Code Metrics. | Akond Rahman, Priysha Pradhan, Asif Partho, Laurie A. Williams |