Md Mahfuzur Rahman Siddiquee is a Computer Science Ph.D. student at Arizona State University. He is supervised by Professor Baoxin Li and co-supervised by Professor Teresa Wu. His research interests lie in developing computer vision methods for medical image analysis—including but not limited to the tasks of supervised, weakly-supervised, self-supervised, and unsupervised lesion segmentation, detection, and classification. Besides, he serves as a reviewer in top conferences and journals in his field. He has been awarded “IEEE TMI Distinguished Reviewer” by IEEE Transactions on Medical Imaging and “Certificate of Outstanding Contribution in Reviewing” by the Journal of Biomedical Informatics. He also worked as an Applied Research Intern at NVIDIA during the summer of 2021 and 2022.
Google Scholar: mrahmans.me/gscholar