Dr Yevgeniya Kovalchuk
Areas of interest
Artificial intelligence and machine learning
Sensors and wearables
Human-computer interactionYevgeniya is particularly interested in the use of wearables, biological signal processing and mathematical modelling of brain-body interactions linked to emotions to enhance our understanding of the interconnection between physical and mental health/performance, and the role different factors (e.g. social, environmental and genetic) play in defining this interconnection.
- CS3AI18 -21-2MOD: Artificial Intelligence
- CSMML16-21-2MOD: Machine Learning
After obtaining her PhD degree from the University of Essex in 2009, Yevgeniya has worked in pure industrial and academic environments, as well as on projects connecting the two. As a full-time academic now, she enjoys collaborating with commercial companies, governmental organisations and charities to inform the theoretical development of artificial intelligence techniques to ensure they work in practice and help solve critical social, environmental and healthcare problems.
Fellow of the Higher Education Academy
TPC member of the International Workshop on Internet of Smart Things
Member of the Editorial Board of the MPDI journal Computers