Taofik Ahmed Suleiman is a graduate student involved in the following projects:
- Interactive Deep Learning-Based Active Learning Strategies for Abdominal Organ Segmentation;
- Probabilistic Atlas and Deep Learning Methods for Automatic Brain Tissue Segmentation; and
- Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm.
Taofik is especially interested in utilizing classical and deep learning approaches for multi-modal medical image analysis, including segmentation, classification, registration, and domain adaptation. His ultimate goal is to leverage the insights gained from these analyses to advance early disease detection, predict disease progression, assess survival rates, and ultimately enhance healthcare outcomes.
He has experience working on various classical and deep learning-based projects, including 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 interned at the Endoscopy and Computer Vision Group at the University of Clermont Auvergne in France, where he contributed to the development of 3D-2D deformable registration for augmented reality in liver laparoscopy images. Additionally, in January 2024, he joined the Center for Virtual Imaging Trials at Duke University School of Medicine in North Carolina as a visiting research scholar, where he implemented interactive deep learning-based active learning strategies for abdominal organ segmentation.
Currently, Taofik is a PhD student in the Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University with a research focus on medical imaging and AI. Taofik earned his MSc degree in medical imaging and applications in a joint program of the University of Girona (Spain), University of Bourgogne (France), and University of Cassino (Italy). He earned his undergraduate degree in biomedical engineering from the University of Ilorin (Nigeria).