Role
Dr. Kieran Woodward is a research associate in pervasive computing and data science in the Department of Computer Science within the School of Science and Technology. Kieran recently completed his PhD exploring the use of fidgeting tools embedding physiological sensors such as HRV and EDA in monitoring real-world mental wellbeing through deep learning classification.
Career overview
Kieran was awarded a BSc. (Hons) Information and Communications Technology in 2016 and a MSc Computing Systems in 2017 both from Nottingham Trent University. He then completed his PhD in Pervasive Computing and Data Science in 2018 from Nottingham Trent University.
Research areas
PhD thesis title: Tangible Fidgeting Interfaces for Mental Wellbeing Recognition using Deep Learning applied to Physiological Sensor Data
Kieran is currently working on the 5G connected forest DCMS funded project to provide an interactive visitor experience by utilising advances in AI, 5G and IoT technologies. More information can be found here.
Publications
Woodward, K., Kanjo, E., Brown, D., and McGinnity, T. M., 2021. Transfer Learning Powered Devices for Personalised Emotion Modelling. IEEE International Smart Cities Conference (ISC2 2021).
Woodward, K. and Kanjo, E., 2020. iFidgetCube: Tangible Fidgeting Interfaces (TFIs) to Improve Wellbeing. IEEE Sensors Journal.
Woodward, K., Kanjo, E., Anderez, D.O., Anwar, A., Johnson, T. and Hunt, J., 2020. DigitalPPE: Low Cost Wearable that acts as a Social Distancing Reminder and Contact Tracer. ACM SenSys 2020.
Woodward, K., Kanjo, E., Brown, D., McGinnity, T. M., Inkster, B., Macintyre, D. J., and Tsanas, A., 2020. Beyond Mobile Apps: A Survey of Technologies for Mental Well-being. IEEE Transactions on Affective Computing.
Woodward, K., Kanjo, E., Oikonomou, A. and Chamberlain, A., 2020. LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing. Personal and Ubiquitous Computing.
Woodward, K., Kanjo, E., Brown, D. J., & Inkster, B., 2020. TangToys: Smart Toys to Communicate and Improve Children’s Wellbeing. Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers.
Woodward, K., Kanjo, E. and Brown, D., 2019. AI-powered tangible interfaces to transform children’s mental well-being. 5th IEEE International Conference on Internet of People (IoP 2019).
Woodward, K., Kanjo, E., Umair, M. and Sas, C., 2019. Harnessing digital phenotyping to deliver real-time interventional bio-feedback. Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 1206-1209).
Woodward, K., Kanjo, E., Brown, D., Kanjo, E., and Brown, D., 2019. Challenges of Designing and Developing Tangible Interfaces for Mental Well-Being. ACM CHI Conference on Human Factors in Computing Systems 2019.
Woodward, K., Kanjo, E., Burton, S. and Oikonomou, A., 2018. EmoEcho: A Tangible Interface to Convey and Communicate Emotions. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 746-749).
Woodward, K. and Kanjo, E., 2018, October. Things of the Internet (ToI) Physicalization of Notification Data. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1228-1233).