معرفی
Samaneh Kouchaki is a Senior Lecturer in Machine Learning for Healthcare at the University of Surrey, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. She leads research on machine learning applications in healthcare, particularly dementia care and antibiotic resistance. Her roles include teaching, supervision of 6 PhD students, and collaboration with the UK Dementia Research Institute.
Education: PhD in Computer Science (University of Surrey, 2015), postdoctoral research at University of Oxford (TB genomics) and University of Manchester (bioinformatics).
Research Interests: Focuses on healthcare AI, including biomedical signal processing, graph learning for omics data, and sensor-based remote monitoring. Develops machine learning tools for early disease detection and personalized care.
Publications: Over 30 peer-reviewed articles in top journals like NPJ Digital Medicine and The Lancet Microbe, covering topics from antibiotic resistance prediction to dementia care technologies. Recent work emphasizes lightweight models for clinical NLP and unsupervised anomaly detection.
Lab & Teams: Leads research in health AI at CVSSP, collaborating with UK DRI, Imperial College London, and NHS trusts. Develops TIHM platform for remote monitoring of dementia patients.
