Professorial Lecture: The Future of Chronic Disease Self-Management: Smart Sensors, Deep Data, Personalised Models and AI
|Event Date:||Time:||6:00 PM — 8:00 PM|
|Location:||The Sir Ian Wood Building, RGU’s Garthdee campus, Garthdee Road, Aberdeen|
A professorial lecture delivered by Professor Nirmalie Wiratunga, Professor of Intelligent Systems Research at Robert Gordon University.
Nirmalie Wiratunga has more than 15 years of research experience in the field of Artificial Intelligence (AI), with interests in theoretical and practical aspects of machine learning and intelligent systems, focussing on the rapidly growing problem solving field of case-based reasoning (CBR).
Her PhD on machine learning and knowledge refinement was funded by the Engineering and Physical Sciences Research Council (EPSRC), the UK's main agency for funding research in engineering and the physical sciences. Professor Wiratunga is a key figure in the international CBR community and has pioneered semantic indexing knowledge discovery methods for CBR. In 2004 she won best paper at the European CBR Conference, which she later applied to incident reporting tasks for the European Space Agency. Professor Wiratunga currently leads RGU’s contributions to several funded projects.
Professor Wiratunga’s lecture will explore the application of CBR in the context of sensing and digital health applications. She will present the key concepts and methods in relation to Traxivity, a Human Activity Recognition (HAR) component developed by RGU as part of the European H2020 Selfback EU project.
She will discuss how machine learning algorithms are being used to extract features from data to recognise physical activity, monitor achievement of activity goals and the use of interactive notifications to motivate users. The lecture will also explore how personalised (HAR) models and notifications can be generated using methods borrowed from CBR research.
The lecture will be followed by a Q&A and refreshments.
To book a place at the lecture please email Professorial.Lectures@rgu.ac.uk