Muhammad Ahmed Khan

Muhammad Ahmed Khan is a Researcher in the Department of Health Technology at the Technical University of Denmark (DTU), specializing in Biomedical Signal Processing and Digital Health. His work addresses critical healthcare challenges through engineering and AI-driven innovations, with a focus on brain-computer interfaces and neurorehabilitation systems.

His research spans Brain-Computer Interface, Rehabilitation Engineering, Artificial Intelligence, and Biomedical Signal Processing. Khan develops assistive technologies like the 'Brainy Home' virtual smart home system for wheelchair control via neural signals, conducts systematic reviews on functional electrical stimulation for stroke recovery, and explores AIoT frameworks for pandemic response. His fingerprint analysis highlights expertise in Motor Imagery, Common Spatial Patterns, and Machine Learning applications in healthcare.

Analysis of his 2022-2023 publications reveals strong interdisciplinary trends: integrating signal processing with clinical rehabilitation (e.g., post-stroke recovery systems), applying AI/IIoT to healthcare informatics (e.g., COUNTERSAVIOR virus detection), and advancing materials science for biomedical implants. His work appears in high-impact journals including Frontiers in Neurology, IEEE Internet of Things Journal, and ACS Omega, demonstrating convergence of engineering, AI, and clinical medicine.

As part of DTU's Health Technology department, Khan contributes to a collaborative research ecosystem focused on digital health solutions, with external partnerships spanning multiple countries as indicated by his international publication collaborations.