Kofi Appiah

Dr. Kofi Appiah serves as a Senior Lecturer in the Department of Computer Science at the University of York, where he contributes to undergraduate and postgraduate teaching while leading departmental initiatives as Microsoft Certification Coordinator and Undergraduate Admissions Tutor.

His academic credentials include:

• PhD in Computer Science, University of Lincoln, UK
• MSc in Computer Science, University of Oxford, UK
• MSc in Electrical & Electronic Engineering (System-on-Chip specialization), Royal Institute of Technology (KTH), Sweden
• BSc in Computer Science, University of Science and Technology, Ghana

Dr. Appiah's research bridges hardware and AI with core interests in Edge Computing, Neuromorphic Hardware, and Embedded Computer Vision. His work extends to Health Informatics, Medical Devices, and Machine Learning applications where he develops efficient systems for real-world deployment. This interdisciplinary approach connects computer vision with healthcare diagnostics, environmental monitoring, and energy-aware computing solutions.

Analysis of his recent publications reveals a strong trajectory in applying neuromorphic principles to practical challenges, including wildlife conservation through video analytics, medical image classification for cancer detection, and energy-efficient smart-home systems. His work consistently integrates deep learning with hardware acceleration for edge deployment across diverse domains from power grid security to elderly care.

As an academic supervisor, Dr. Appiah has guided research degree students as Director of Studies and Second Supervisor. His departmental leadership includes critical roles in admissions and certification programs.

He actively contributes to the Vision, Graphics and Learning (VGL) research group, collaborating on computer vision and machine learning advancements within York's Department of Computer Science.