| 2026 | ENASE | Unsupervised Commit Message Classification for Software Evolution Using In-Context Learning of Large Language Models. | Dipshikha Das, Nazmus Sakib, Jitesh Sureka, Md. Nurul Ahad Tawhid |
| 2025 | CHASE | Optimizing IoMT Security Using Machine Learning: A Use Case-Based Scoping Review Toward Smart and Connected Health. | Nazmus Sakib, Md. Fazle Rabbi Rahat, Md. Mehedi Hasan, Zongxing Xie |
| 2025 | CHASE | Unraveling Racial Disparities in Critical Lifestyle Needs & Mental Health Outcomes: Toward Designing Smart & Connected Health Technologies for Mental Wellbeing. | Nazmus Sakib, Syeda Umme Salma, Evelina Sterling |
| 2025 | CHI | Backyard Practices: A Liminal Approach to Designing in More-than-Human Worlds. | Ron Wakkary, Doenja Oogjes, Oscar Tomico, Nazmus Sakib, Ege Kkel |
| 2025 | COLING | CUET_Big_O@NLU of Devanagari Script Languages 2025: Identifying Script Language and Detecting Hate Speech Using Deep Learning and Transformer Model. | Md. Refaj Hossan, Nazmus Sakib, Md. Alam Miah, Jawad Hossain, Mohammed Moshiul Hoque |
| 2025 | BSN | Evaluating and Enhancing Radar-Based Fall Detection with Diffusion-Generated Synthetic Data. | Shakib Quddus, Awan-Ur Rahman, Soarov Chakra Borty, John Koimbori, Sumit Chakravarty, Nazmus Sakib |
| 2025 | NOMS | Analyzing and Modeling Connection Impact on Distributed Consensus in Cryptocurrency Blockchain. | Sang-Yoon Chang, Nazmus Sakib, Simeon Wuthier, Keith Paarporn |
| 2025 | SMC | Exploring Backbones for DeepLabv3+ in Semantic Segmentation for Driving Scene Understanding. | Mohammad Omar Faruk, Nazmus Sakib, Mohammad Anwar Hosen, Michael Johnstone |
| 2025 | SMC | A Comparative Study of BERT Variants for Detecting Mental Health Disorders in Online Discourse. | Nazmus Sakib, Mohammad Anwar Hosen, Sabrina Mostafij Mumu, Hasan Bin Jamal |
| 2023 | COMPSAC | Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy. | Mst. Shapna Akter, Hossain Shahriar, Dan Lo, Nazmus Sakib, Kai Qian, Michael E. Whitman, Fan Wu |
| 2023 | COMPSAC | Uncovering Software Supply Chains Vulnerability: A Review of Attack Vectors, Stakeholders, and Regulatory Frameworks. | Nafisa Anjum, Nazmus Sakib, Juan Rodriguez Cardenas, Corey Brookins, Ava Norouzinia, Asia Shavers, Miranda Dominguez, Marie Nassif, Hossain Shahriar |
| 2023 | COMPSAC | AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. | Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian |
| 2023 | COMPSAC | Blockchain Technology in Higher Education Ecosystem: Unraveling the Good, Bad, and Ugly. | Sharaban Tahora, Bilash Saha, Nazmus Sakib, Hossain Shahriar, Hisham Haddad |
| 2023 | SIGITE | Confronting Toddlers' Brain Development Challenges Due to Screen-Addiction: Unpacking Perspectives from Stakeholders. | Nafisa Anjum, Nazmus Sakib, Hossain Shahriar |
| 2023 | SIGITE | ChatGPT in IT Education Ecosystem: Unraveling Long-Term Impacts on Job Market, Student Learning, and Ethical Practices. | Nazmus Sakib, Fahim Islam Anik, Lei Li |
| 2022 | COMPSAC | Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients. | Jagan Moahan Reddy Danda, Kumar Priyansh, Hossain Shahriar, Hisham Haddad, Alfredo Cuzzocrea, Nazmus Sakib |
| 2022 | COMPSAC | Scalable Machine Learning Using PySpark. | Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Qian, Dan Lo, Fan Wu, Mohammed Karim, Parth Bhavsar, Jidong Yang |
| 2022 | COMPSAC | Systematic Analysis of Deep Learning Model for Vulnerable Code Detection. | Mohammad Taneem Bin Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Md Abdullah Khan, Mohammad Masum, Nazmus Sakib, Fan Wu |
| 2022 | COMPSAC | Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework. | Jiyoun Randolph, Md. Jobair Hossain Faruk, Bilash Saha, Hossain Shahriar, Maria Valero, Liang Zhao, Nazmus Sakib |
| 2022 | COMPSAC | Comprehensive Feature Extraction for Cross-Project Software Defect Prediction. | Jagan Mohan Reddy, Muthukumaran K, Hossain Shahriar, Victor Clincy, Nazmus Sakib |
| 2022 | DASC | DuRBIN: A Comprehensive Approach to Analysis and Detection of Emerging Threats due to Network Intrusion. | Kumar Priyansh, Ritu Dimri, Fahim Islam Anik, Mst. Shapna Akter, Nazmus Sakib, Hossain Shahriar, Md. Zakirul Alam Bhuiyan |
| 2020 | ICRA | Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. | Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jgersand |
| 2020 | Tencon | Unsupervised Abnormality Detection Using Heterogenous Autonomous System. | Kazi Mejbaul Islam, Rouhan Noor, Sayeed Shafayet Chowdhury, Tafannum Tahiat Ohi, Mohammad Redwan Islam, Chinmoy Kumer Roy, Nazmus Sakib |
| 2019 | COMPSAC | Feature Boosting in Natural Image Classification. | Piyush Saxena, Devansh Saxena, Xiao Nie, Aaron Helmers, Nithin Ramachandran, Nazmus Sakib, Sheikh Iqbal Ahamed |