Dr. Chandra Bhushan Kumar is an Assistant Professor at South Asian University, New Delhi, with expertise in machine learning, deep learning, biomedical signal processing, and computational neuroscience. He holds a Ph.D. from the Indian Institute of Technology Delhi, where his research focused on understanding sleep apnea through physiological signals and neuroimaging data. Before joining South Asian University, he worked as a Senior Scientist in the Neurosurgery Department at AIIMS, Delhi. His research interests include brain-computer interfaces, biomedical signal analysis, computer vision, and artificial intelligence applications in healthcare. Dr. Kumar has published research in leading international journals, including *IEEE Transactions on Instrumentation and Measurement*, *Applied Soft Computing*, and *Computational Intelligence*. His work focuses on developing intelligent, data-driven methods for sleep-disorder detection, sleep-stage classification, and advanced healthcare technologies.
Machine Learning and Deep Learning; Biomedical Signal Processing; Computational Neuroscience; Brain–Computer Interfaces; Artificial Intelligence in Healthcare; Sleep Medicine and Sleep-Disorder Analysis; Physiological Signal Analysis (ECG, EEG, EMG, EOG, and fMRI); Neuroimaging; Computer Vision; Digital Signal Processing; Representation Learning; and Intelligent Assistive Technologies.
Obstructive Sleep Apnea (OSA); Sleep-Stage Classification; Sleep Pattern Analysis; Physiological Signal Processing; Single-Lead ECG Analysis; Biomedical Signal Processing; Deep Learning; Machine Learning; Self-Supervised Learning; Supervised Contrastive Learning; Siamese Networks; ResNet; Self-Attention Mechanisms; Representation Learning; Brain Functional Networks; Small-World Properties;