Kate Farrahi is an assistant professor in at the University of Southampton working in the vision, learning and control VLC Group . The focus of her research is on machine learning, particularly deep learning, often applied to health-related applications. She is interested in developing machine learning techniques to address novel sensor-driven healthcare problems, including natural language processing and vision related applications such as medical imaging and contactless vitals measurements. Prior to joining Southampton, she was a research assistant at Idiap Research Institute. She obtained her PhD in Computer Science from Swiss Federal Institute of Technology in Lausanne (EPFL).
- My research is at the intersection of machine learning and digital health. I am interested in developing machine learning methods for human sensing using vision- and wearable-based technologies.
Machine learning for health, medical imaging, digital epidemics, contactless vitals measurements, wearable sensing
Prior to joining Southampton, I was a research assistant at Idiap Research Institute. I obtained my PhD in Computer Science from Swiss Federal Institute of Technology in Lausanne (EPFL).
- Best Paper Award (2022)