Researcher

Mr Md Mamunur Rahaman

My Expertise

Biomedical Image Computing, Computer Vision, Pattern Recognition

Keywords

computer vision

biomedical image computing

pattern recognition

machine learning

deep learning

Fields of Research (FoR)

Biomedical imaging, Computer vision

Biography

Md Mamunur Rahaman is currently pursuing his PhD in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. His research focuses on the development of novel image processing methods, algorithms, and software systems for computer-assisted diagnostics, with a specific focus on medical imaging and microscopic images. He is interested in using sophisticated computational algorithms to extract information...view more

Md Mamunur Rahaman is currently pursuing his PhD in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. His research focuses on the development of novel image processing methods, algorithms, and software systems for computer-assisted diagnostics, with a specific focus on medical imaging and microscopic images. He is interested in using sophisticated computational algorithms to extract information and aid in medical intervention.

In 2017, he graduated with a Bachelor of Science in Electrical and Electronics Engineering from BRAC University in Dhaka, Bangladesh. In 2021, he received a Master of Engineering in Biomedical Engineering from Northeastern University in China. At Northeastern University, Mamunur served as a research assistant (RA) from 2021 to January 2022, contributing to the Microscopic Image and Medical Image Analysis Group in the College of Medicine and Bioinformatics Engineering.

In addition to his doctoral research, Mamunur serves as a tutor for various courses at UNSW, including computer vision (COMP9517), neural networks (COMP9444), and artificial intelligence (COMP3411).

My Grants

My Qualifications

My Awards

My Research Activities

My Engagement

Professional Member, Association for Computing Machinery (ACM), 2021 - Present
Editorial Board Member:
- Frontiers in Imaging, 2022 - Present
- Frontiers in Artificial Intelligence, 2022 - Present
- Frontiers in Big Data, 2022 - Present
Reviewer:
- IEEE Transactions on Medical Imaging, 2022 - Present
- IEEE Journal of Biomedical and Health Informatics, 2022 - Present
- Biomedical Signal Processing and Control (Elsevier), 2022 - Present
- Computers in Biology and Medicine (Elsevier), 2022 - Present
- Informatics in Medicine Unlocked (Elsevier), 2022 - Present
- Journal of Personalized Medicine (MDPI), 2022 - Present
- Sensors (MDPI), 2022 - Present
- Diagnostics (MDPI), 2022 - Present
- Cancers (MDPI), 2022 - Present
- BMC Cancer (Springer Nature), 2022 - Present
- Scientific Reports (Nature), 2021 - Present
- World Journal of Surgical Oncology (Springer Nature), 2021 - Present
- Applied Artificial Intelligence (Taylor & Francis), 2021 - Present
- BMC Medical Imaging (Springer Nature), 2021 - Present
- IEEE Access, 2020 - Present

My Teaching

I have been actively involved in tutoring and mentoring students across several key courses within the School of Computer Science and Engineering. My teaching philosophy is centered on fostering a deep understanding of core concepts, encouraging practical application, and inspiring innovation among students.

Courses Tutored: