Biography
Chiemela Ndukwe is a Lecturer in Computer Science in the School of Computing and Digital Media at London Metropolitan University. He teaches across a range of computing disciplines, with particular expertise in Computer Science and Software Engineering. His teaching focuses on developing students' technical, analytical, and problem-solving skills while preparing them for successful careers in the technology sector.
Chiemela holds a BSc in Software Engineering and an HND in Computer Science. With over 13 years of professional experience in software engineering, he brings extensive industry knowledge into the classroom, enabling students to connect theoretical concepts with real-world practice. In addition to his teaching responsibilities, he serves as a Course Leader and contributes to curriculum development, student support, assessment, and academic quality enhancement.
He is currently undertaking a PhD focused on the development of AI-powered assistive technologies for blind and visually impaired users. His research investigates how image recognition, computer vision, natural language processing, and deep learning techniques can be combined to create accessible, accurate, and user-centred digital solutions. The research aims to develop a usability framework for image recognition technologies that aligns with international usability standards while enhancing accessibility, inclusion, and independence for visually impaired individuals.
His broader research interests include Artificial Intelligence, Assistive Technology, Human-Computer Interaction, Software Engineering, Accessibility and Inclusive Design, Machine Learning, Natural Language Processing, and Cyber Security. He has published research in both accessibility technologies and mobile security, including studies such as "Image Recognition Tools for Blind and Visually Impaired Users: An Emphasis on the Design Considerations" and "Comparative Analysis of Malware Detection Response Times Across Android Versions: An Emphasis on the Hoverwatch Application".
Through his teaching, research, and professional engagement, Chiemela is committed to advancing innovative technologies that improve accessibility, enhance user experiences, and address real-world challenges through inclusive and responsible computing solutions.
Publications
"Image Recognition Tools for Blind and Visually Impaired Users: An Emphasis on the Design Considerations" and "Comparative Analysis of Malware Detection Response Times Across Android Versions: An Emphasis on the Hoverwatch Application"
