Kevin Smith

Kevin Smith is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Division of Computational Science and Technology. His research focuses on applying machine learning and computer vision to biomedical problems, particularly in healthcare and medical imaging. Previously, he worked at ETH Zürich and EPFL. His work bridges AI, biology, and medicine, addressing challenges like disease diagnosis, risk prediction, and treatment optimization.

Research Interests: Smith’s research spans computer vision, machine learning, and their applications in healthcare. Key areas include medical image analysis, AI-driven diagnostic tools, and privacy-preserving medical data processing. He explores topics such as tumor detection in ovarian ultrasound, breast cancer risk modeling, and MRI privacy through autoencoders.

Publications & Trends: Recent work emphasizes AI-human collaboration frameworks, privacy in medical imaging, and domain adaptation for high-content data. His articles highlight advancements in transformer models for medical tasks and multicenter AI validation in breast imaging.

Teaching & Roles: Smith teaches courses like Foundations of Machine Learning (DD1420) and oversees the Applied Programming and Computer Science program. He mentors MSc students in topics like medical image segmentation and risk prediction.

Affiliations: He is part of the Science for Life Laboratory and contributes to KTH’s collaborative research ecosystem, including the VAI-B platform for AI validation in breast imaging.