Dr Yordanka Karayaneva is a Lecturer in Computer Science at the School of Computing, Engineering and Digital Technologies at Teesside University, which she joined in 2022. She completed her PhD at Coventry University with a thesis title "Machine Learning for Human Activity Recognition Using Non-Intrusive Sensors" in 2021. Previously, she obtained a BSc in Computer Science with First Class Honours at Coventry University in 2017. Dr Yordanka Karayaneva is a Fellow of the Higher Education Academy (FHEA).

Dr Yordanka Karayaneva has main research interests in machine learning and deep learning for smart healthcare. In addition, she is interested in the broader applications of machine learning and deep learning to different fields. Dr Yordanka Karayaneva has published journal articles and conference papers in reputed journals and conference venues. Moreover, she is dedicated to reviewing journal articles, conference articles, and grant applications as well as serving as a journal guest editor.

Dr Yordanka Karayaneva has broad interests at the intersection of machine learning/deep learning and smart healthcare.

• Machine learning and deep learning for human activity recognition using non-intrusive sensors such as low-resolution infrared sensors and micro-Doppler radars. Applications include the support of older adults living idependently or in care homes.
• Machine learning and deep learning for image classification. Projects include microscopic soil image identification using transfer learning for applications in agriculture.
• Machine learning and deep learning for modelling the factors influencing the user acceptance of domestic low-carbon technologies towards sustainable future.

• Programme Committee Member: IEEE International Conference on Machine Learning and Applications (2023–2025)

• Reviewer: IEEE Access; IEEE Signal Processing Magazine; Applied Sciences; Remote Sensing; Sensors; Big Data and Cognitive Computing; Forests; Journal of Marine Science and Engineering; Machines; Electronics; Healthcare

• Guest Editor: Algorithms (2023)

• Grant Reviewer: UK Research and Innovation (UKRI)