| 2024 | KES | An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction. | Md. Asif Khan Rifat, Ahmedul Kabir, Armana Sabiha Huq |
| 2023 | ENASE | A Distance-Based Feature Selection Approach for Software Anomaly Detection. | Suravi Akhter, Afia Sajeeda, Ahmedul Kabir |
| 2022 | APSEC | Exploring the Impact of Code Style in Identifying Good Programmers. | Rafed Muhammad Yasir, Ahmedul Kabir |
| 2020 | SEKE | An Ensemble Approach to Detect Code Comment Inconsistencies using Topic Modeling. | Fazle Rabbi, Md. Nazmul Haque, Md. Eusha Kadir, Md. Saeed Siddik, Ahmedul Kabir |
| 2020 | SEKE | Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction. | Shihab Shahriar Khan, Nishat Tasnim Niloy, Md. Aquib Azmain, Ahmedul Kabir |
| 2019 | ENASE | An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity. | Pritom Saha Akash, Ali Zafar Sadiq, Ahmedul Kabir |
| 2019 | SEKE | Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes. | Ali Zafar Sadiq, Ahmedul Kabir, Kazi Sakib |
| 2018 | ICDM | Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. | Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez |