Mohammad Mahfujur Rahman

Dr. Mohammad Mahfujur Rahman is a Research Fellow in the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) group at Queensland University of Technology (QUT). He holds a PhD in computer vision and deep learning from QUT, focusing on addressing dataset bias in deep neural networks. His research interests include domain adaptation, domain generalization, transfer learning, and computer vision applications in biometrics and medical imaging.

Education:

• PhD in Computer Vision and Deep Learning, Queensland University of Technology (QUT), Australia

Research Focus: Dr. Rahman’s work centers on improving deep learning models’ performance across different domains. He has pioneered approaches to mitigate dataset bias through correlation-aware adversarial methods and multi-component image translation. His research has applications in object detection, image segmentation, and cross-domain generalization.

Awards & Memberships:

• IEEE Young Professionals member

Grants & Labs: His contributions are part of the SAIVT research group at QUT’s School of Electrical Engineering and Robotics. No explicit grants are mentioned, but his work aligns with broader university initiatives in AI and robotics.