Sebelan Danishvar

Dr. Sebelan Danishvar is a Research Fellow at Brunel University, affiliated with the College of Engineering, Design and Physical Sciences under the Civil and Environmental Engineering department. His research focuses on biomedical signal processing, deep learning applications in healthcare, and medical imaging.

• Key research areas: Biomedical Signal Processing, Deep Learning, Medical Imaging, Neuroscience, AI in Healthcare, and Image Segmentation.

His work spans multiple healthcare domains, including driver fatigue detection using EEG signals, brain tumor segmentation with GANs, emotion recognition via hybrid AI models, and medical image fusion techniques. Recent papers emphasize graph convolutional networks, 3D GANs, and type-2 fuzzy systems for medical diagnostics.

His publications highlight trends in applying advanced AI to neuroimaging, oncology, and mental health diagnostics. Articles from 2022-2024 demonstrate expertise in convolutional neural networks, generative adversarial networks, and multi-modal physiological signal analysis.