Dr Yevgeniya Kovalchuk
Building locationPolly Vacher
Areas of interestArtificial intelligence and machine learning
Sensors and wearables
Yevgeniya 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.
TeachingCS3AI18-21-2MOD: Artificial Intelligence
CSMML16-21-2MOD: Machine Learning
BackgroundAfter 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.
Professional bodies/affiliationsFellow of the Higher Education Academy
TPC member of the International Workshop on Internet of Smart ThingsMember of the Editorial Board of the MPDI journal Computers
- Kovalchuk, Y. ORCID: 0000-0003-4306-4680 , Budini, E. , Cook, R. , Walsh, A. (2022) Investigating the relationship between facial mimicry and empathy. Behavioral Sciences , 12 (8). ISSN: 2076-328X | doi: https://dx.doi.org/10.3390/bs12080250
- Hanga, K. , Kovalchuk, Y. , Gaber, M. (2022) PGraphD*: methods for drift detection and localisation using deep learning modelling of business processes. Entropy , 24 (7). ISSN: 1099-4300 | doi: https://dx.doi.org/10.3390/e24070910