Researcher specialising in artificial intelligence, deep learning, and computer vision, with a focus on medical image analysis, biometric recognition, and affective computing. Research interests include brain tumour segmentation, cancer detection, computer-aided diagnosis, age-invariant face recognition, facial expression recognition, and multimodal biometric systems, with particular emphasis on developing robust, explainable, and resource-efficient AI solutions for healthcare, security, and real-world deployment..
Research Areas
Developing deep learning architectures for automated medical image analysis — brain tumour segmentation, liver cancer detection, and disease diagnosis — with focus on clinical deployment in resource-constrained settings across Sub-Saharan Africa.
Building robust biometric recognition and emotion-aware AI systems — age-invariant face recognition, facial expression recognition under real-world conditions, and multi-modal identity verification for security and human-computer interaction.
Profiles
Publications
Conference Presentations
Experience
Education
Get in Touch
Open to research collaborations in clinical AI, medical imaging, and biometrics & affective computing. Also interested in reviewer invitations and postdoc opportunities.
danielkwameamissah@gmail.com