| 2026 | COMPSAC | Mitigating the Effect of Class Imbalance in Data with Hierarchical and Dependable Structure. | Bipin Chhetri, Deepika Giri, Avishek Kadel, Rabin Kumar Karki, Akbar Siami Namin |
| 2026 | COMPSAC | Explainability of Feature Relations in Malicious Network Data Based on Graph Attention Network. | Tania-Amanda Nkoyo Fredrick Eneye, Akbar Siami Namin |
| 2026 | COMPSAC | Neuro-Agentic Control: A Deep Learning-Based LLM-Powered Agentic AI Framework for Controlling Security Controls. | Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin |
| 2025 | COMPSAC | The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks. | Bipin Chhetri, Akbar Siami Namin |
| 2025 | COMPSAC | IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models. | Nikesh Prajapati, Bimal Karki, Saroj Gopali, Akbar Siami Namin |
| 2024 | COMPSAC | Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data. | Tien Nguyen, Faranak Abri, Akbar Siami Namin, Keith S. Jones |
| 2024 | COMPSAC | The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. | Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin |
| 2024 | SAC | The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. | Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones |
| 2023 | COMPSAC | A Survey on Blockchain-Based Federated Learning and Data Privacy. | Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin |
| 2023 | COMPSAC | Dynamic Analysis for Detection of Self-Destructive Smart Contracts. | Zulfiqar Ali Khan, Akbar Siami Namin |
| 2023 | COMPSAC | The Application of the BERT Transformer Model for Phishing Email Classification. | Denish Omondi Otieno, Akbar Siami Namin, Keith S. Jones |
| 2022 | COMPSAC | Conceptual Mappings of Conventional Software and Machine Learning-based Applications Development. | Shannon Angel, Akbar Siami Namin |
| 2022 | COMPSAC | Vulnerability Detection in Smart Contracts Using Deep Learning. | Saroj Gopali, Zulfiqar Ali Khan, Bipin Chhetri, Bimal Karki, Akbar Siami Namin |
| 2022 | ICMLA | Can We Predict Consequences of Cyber Attacks? | Prerit Datta, Akbar Siami Namin, Keith S. Jones |
| 2022 | SAC | A user-centric threat model and repository for cyber attacks. | Prerit Datta, Sara Sartoli, Luis Felipe Gutirrez, Faranak Abri, Akbar Siami Namin, Keith S. Jones |
| 2021 | COMPSAC | Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. | Faranak Abri, Luis Felipe Gutirrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones |
| 2021 | COMPSAC | Attack Prediction using Hidden Markov Model. | Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin |
| 2020 | COMPSAC | Abuse of the Cloud as an Attack Platform. | Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones |
| 2020 | COMPSAC | Cloud: A Platform to Launch Stealth Attacks. | Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones |
| 2020 | COMPSAC | Evolutionary Algorithms for Vulnerability Coverage. | Shuvalaxmi Dass, Akbar Siami Namin |
| 2020 | COMPSAC | Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases. | Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin |
| 2020 | COMPSAC | Ensemble Learning for Detecting Fake Reviews. | Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears |
| 2020 | COMPSAC | Compliance Requirements Checking in Variable Environments. | Sara Sartoli, Sepideh Ghanavati, Akbar Siami Namin |
| 2020 | ICMLA | Linguistic Features for Detecting Fake Reviews. | Faranak Abri, Luis Felipe Gutirrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears |
| 2020 | ICMLA | Optimizing CNN using Fast Fourier Transformation for Object Recognition. | Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink |
| 2020 | SAC | Vulnerability coverage for adequacy security testing. | Shuvalaxmi Dass, Akbar Siami Namin |
| 2019 | COMPSAC | Detecting Phishing Websites through Deep Reinforcement Learning. | Moitrayee Chatterjee, Akbar Siami Namin |
| 2019 | COMPSAC | Enforcing Optimal Moving Target Defense Policies. | Jianjun Zheng, Akbar Siami Namin |
| 2019 | SAC | TestLocal: just-in-time parametrized testing of local variables. | Marcel Heimlich, Akbar Siami Namin |
| 2018 | CCS | A Markov Decision Process to Determine Optimal Policies in Moving Target. | Jianjun Zheng, Akbar Siami Namin |
| 2018 | COMPSAC | Detecting Web Spams Using Evidence Theory. | Moitrayee Chatterjee, Akbar Siami Namin |
| 2018 | ICMLA | A Comparison of ARIMA and LSTM in Forecasting Time Series. | Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin |
| 2018 | ISSTA | MalViz: an interactive visualization tool for tracing malware. | Vinh The Nguyen, Akbar Siami Namin, Tommy Dang |
| 2018 | SIGCSE | What Vulnerability Assessment and Management Cybersecurity Professionals Think Their Future Colleagues Need to Know: (Abstract Only). | Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin, David C. Newton |
| 2017 | SAC | A semantic model for action-based adaptive security. | Sara Sartoli, Akbar Siami Namin |
| 2017 | SIGCSE | What Should Cybersecurity Students Learn in School?: Results from Interviews with Cyber Professionals (Abstract Only). | Keith S. Jones, Akbar Siami Namin, Miriam Armstrong |
| 2016 | CHI | Sonifying Internet Security Threats. | Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones, Rona L. Pogrund |
| 2016 | COMPSAC | Adaptive Reasoning for Context-Sensitive Access Controls. | Sara Sartoli, Akbar Siami Namin |
| 2016 | COMPSAC | Adaptive Reasoning in the Presence of Imperfect Security Requirements. | Sara Sartoli, Akbar Siami Namin |
| 2016 | COMPSAC | The Impact of Address Changes and Host Diversity on the Effectiveness of Moving Target Defense Strategy. | Jianjun Zheng, Akbar Siami Namin |
| 2016 | ICMLA | Early Identification of Vulnerable Software Components via Ensemble Learning. | Yulei Pang, Xiaozhen Xue, Akbar Siami Namin |
| 2015 | CW | On Accuracy of Classification-Based Keystroke Dynamics for Continuous User Authentication. | Alaa Darabseh, Akbar Siami Namin |
| 2015 | ICMLA | Effective User Authentications Using Keystroke Dynamics Based on Feature Selections. | Alaa Darabseh, Akbar Siami Namin |
| 2015 | ICMLA | Statistical Fault Localization Based on Importance Sampling. | Akbar Siami Namin |
| 2015 | ICMLA | Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. | Yulei Pang, Xiaozhen Xue, Akbar Siami Namin |
| 2015 | ICSE | Poster: Reasoning Based on Imperfect Context Data in Adaptive Security. | Sara Sartoli, Akbar Siami Namin |
| 2014 | COMPSAC | Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations. | Xiaozhen Xue, Yulei Pang, Akbar Siami Namin |
| 2014 | ICMLA | Feature Selections for Effectively Localizing Faulty Events in GUI Applications. | Xiaozhen Xue, Yulei Pang, Akbar Siami Namin |
| 2013 | ESEM | How Significant is the Effect of Fault Interactions on Coverage-Based Fault Localizations? | Xiaozhen Xue, Akbar Siami Namin |
| 2013 | ICMLA | Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. | Yulei Pang, Xiaozhen Xue, Akbar Siami Namin |
| 2011 | ICST | An Evaluation of Mutation and Data-Flow Testing: A Meta-analysis. | Sahitya Kakarla, Selina Momotaz, Akbar Siami Namin |
| 2011 | ICST | Para - A Partial and Higher-Order Mutation Tool with Concurrency Operators. | Pratyusha Madiraju, Akbar Siami Namin |
| 2011 | ISSTA | The use of mutation in testing experiments and its sensitivity to external threats. | Akbar Siami Namin, Sahitya Kakarla |
| 2010 | ESEM | The influence of environmental parameters on concurrency fault exposures: an exploratory study. | Sahitya Kakarla, Akbar Siami Namin |
| 2010 | ICSE | Predicting multi-core performance: a case study using Solaris containers. | Akbar Siami Namin, Mohan Sridharan, Pulkit Tomar |
| 2010 | ICSE | Bayesian methods for data analysis in software engineering. | Mohan Sridharan, Akbar Siami Namin |
| 2010 | ISSRE | Prioritizing Mutation Operators Based on Importance Sampling. | Mohan Sridharan, Akbar Siami Namin |
| 2009 | ISSTA | The influence of size and coverage on test suite effectiveness. | Akbar Siami Namin, James H. Andrews |
| 2008 | ICSE | Sufficient mutation operators for measuring test effectiveness. | Akbar Siami Namin, James H. Andrews, Duncan J. Murdoch |
| 2007 | ICSE | On Sufficiency of Mutants. | Akbar Siami Namin, James H. Andrews |
| 2006 | CSCWD | An Efficient Trust Model for Multi-Agent Systems. | Akbar Siami Namin, Ruizhong Wei, Weiming Shen, Hamada H. Ghenniwa |
| 2005 | CSCWD | Applying secret sharing schemes to service reputation. | Akbar Siami Namin, Ruizhong Wei, Weiming Shen, Hamada H. Ghenniwa |