معرفی
Dr. Ahmed Zoha is a Research Fellow in the Faculty of Engineering and Physical Sciences, specializing in Electronic Engineering. His work focuses on applying machine learning and IoT technologies to healthcare, particularly for monitoring individuals with dementia. He holds a PhD and has contributed to interdisciplinary research with clinicians to develop non-invasive monitoring systems.
Research Interests: Machine learning for healthcare analytics, IoT applications in elder care, and preventative care strategies using sensor data. His work emphasizes practical solutions to reduce hospital admissions caused by preventable issues like urinary tract infections (UTIs).
Publications: His 2019 work in PLOS One details algorithms for UTI detection and activity pattern analysis using techniques like Non-negative Matrix Factorisation and Isolation Forest, validated with real-world clinical data.
