Taofik Ahmed Suleiman is a doctoral student in biomedical engineering in the Coulter Department of Biomedical Engineering of Emory University and Georgia Institute of Technology. His research focuses on medical imaging and AI, with specific interests in radiomics, precision oncology, survival analysis, multi-modal medical image analysis, and generative AI (GANs, transformers, VAEs, diffusion models, LLMs and VLMs). Before joining the lab, he worked on various computer vision and deep learning-based projects such as lung 4DCT image registration, 3D MRI brain tissue segmentation, atlas-based segmentation, classification of Alzheimer's disease using MRI and gene expression data, and skin lesion classification, among others.
In 2023, Taofik contributed to the development of a 3D-2D deformable registration system for augmented reality in liver laparoscopy at the Endoscopy and Computer Vision Group (ENCOV) at the University of Clermont Auvergne, France. He was also a visiting research fellow at the Duke Centre for Virtual Imaging Trials, Duke University, where he developed his master's thesis on interactive deep learning-dased active learning strategies for abdominal organ segmentation.
Taofik's academic journey began with a bachelor's degree in biomedical engineering from the University of Ilorin, Nigeria. He then pursued a joint master’s degree in medical imaging and applications through the Erasmus+ program, coordinated by the University of Girona, Spain, in collaboration with the University of Bourgogne, France, and the University of Cassino, Italy, where he earned three master’s degrees.