Connah Kendrick

Dr. Connah Kendrick is a Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University. His research focuses on applying computer vision techniques to healthcare challenges, particularly in 3D imaging for medical applications such as diabetic foot ulcer segmentation, facial expression analysis, and anatomical reconstruction. He holds a PhD in computer vision involving 3D+RGB sensors and has developed web-based tools for data annotation. His work emphasizes interdisciplinary collaboration to advance healthcare solutions through explainable AI.

Education:

• PhD in Computer Vision (3D+RGB sensors and model building)

Research Interests: Dr. Kendrick specializes in AI-driven healthcare solutions using 3D technologies. Key areas include:

• Computer vision applications in medical imaging (e.g., diabetic foot ulcers, prostate segmentation)
• Facial micro/macro-expression analysis for health monitoring
• Development of interpretable machine learning models for clinical use
• Integration of wearable technologies in exergames for health

Article Trends: Recent work centers on diabetic foot ulcer segmentation (e.g., DFUC challenges), 3D facial expression analysis, and robust ML models for stress/anxiety detection via heart signals. His contributions span medical imaging standards, dataset curation, and novel neural network architectures.

Advising/Grants: No specific grants or student advisees listed. Collaborates on projects like railway passenger detection systems and 3D anatomical reconstruction (e.g., bone, breast, prostate).

Labs/Teams: Works within multi-disciplinary teams at Manchester Metropolitan University, focusing on healthcare AI and medical imaging innovation.