Iftekhar
Research
Publications

  • I. Ahmed, B. Bushon Routh, M. S. Rahman Kohinoor, S. Sakib, M. Mahfuzur Rahman and F. Azzedin, "Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification," in IEEE Access Q1, vol. 12, pp. 181009-181024, 2024, doi: 10.1109/ACCESS.2024.3510224.

  • I. Ahmed, T. E. Chowdhury, B. B. Routh, N. Tasmiya, S. Sakib and A. A. Chowdhury, "Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction," 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Conf. Vancouver, BC, Canada, 2022, pp. 0417-0423, doi: 10.1109/IEMCON56893.2022.9946591.

  • M. Arifuzzaman, M. J. U. Chowdhury, I. Ahmed, M. N. A. Siddiky and D. Rashid, "Heart Disease Prediction through Enhanced Machine Learning and Diverse Feature Selection Approaches," 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Conf. Bandung, Indonesia, 2024, pp. 119-124, doi: 10.1109/ICSIMA62563.2024.10675564.

Ongoing

  • Currently engaged in a InteX funded research project focused on adversarial attack/defense on dental imaging. The study utilizes Meta's Segment Anything Model (SAM) for initial segmentation and a refined UNet variants for detailed tooth detection and adversarial robustness (adversarial attack/defense).

  • Secured funding from the National Cybersecurity Authority (NCA) of the Kingdom of Saudi Arabia (KSA) for the research proposal "Privacy-Preserving Federated Learning Platform for the Healthcare Domain" and currently leading this initiative.

  • Working with Dr. Md Rashedur Rahman on a dental panoramic x-ray image segmentation techniques; exploring various state-of-the art segmentation model architecture`,