Emmanuel Emmanuel

Dr. Emmanuel Emmanuel is a Lecturer in the School of Engineering, Computing and Mathematics at the University of Plymouth, part of the Faculty of Science and Engineering. His research focuses on the intersection of artificial intelligence, medical imaging, and network engineering. He holds a PhD and has contributed significantly to advancing AI-driven solutions for neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s), autism diagnosis, and stroke risk prediction. His work also extends to optimizing multimedia service quality in 5G and SDN/NFV networks.

Key research interests include machine learning applications in healthcare diagnostics, explainable AI for medical decision-making, and quality-of-experience (QoE) optimization in telecommunications. He has authored over 50 peer-reviewed articles, with recent studies emphasizing AI-based diagnosis tools, biomarker development, and adaptive network management systems.

Dr. Emmanuel’s technical contributions span MRI analysis, EEG signal processing, and data-efficient deep learning models. His projects often bridge clinical needs with technical innovation, such as developing XAI frameworks for MRI interpretation and optimizing video streaming quality in heterogeneous networks.

He is actively involved in interdisciplinary collaborations, including the LiveWell initiative promoting ICT-based interventions for Parkinson’s patients. Contact: Room 208D Smeaton Building, emmanuel.jammeh@plymouth.ac.uk.