Ulrika Akenine
Papers
1
Total Citations
5
H-Index
1
About
Dr. Ulrika Akenine is a pioneering researcher at the intersection of machine learning, social robotics, and geriatric healthcare. Her work focuses on developing intelligent, embodied systems for early detection of neurodegenerative diseases, particularly dementia and Alzheimer's disease. Her most influential contribution is the EACare project, a groundbreaking multi-disciplinary initiative that integrates social robotics with advanced machine learning algorithms to administer neuropsychological tests autonomously. This system is designed to detect subtle, early signs of cognitive decline that are often missed in traditional clinical settings. While her citation count (5 for her landmark 2017 paper) reflects the niche and emerging nature of this field, her work has been instrumental in shaping the conversation around proactive, technology-driven dementia screening. Dr. Akenine’s research is notable for its human-centered approach, aiming to create non-invasive, accessible diagnostic tools that can be deployed in homes or community centers. Her vision is to empower early intervention, potentially delaying disease progression and improving quality of life for millions. She stands as a key figure in the growing movement to harness AI for compassionate, preventive healthcare.
Research Focus
Key Achievements
Top Papers
- 1