Ilkka Kosunen has been working with physiological computing for over an decade. During this time he has participated in multiple EU-projects, developed dozens of prototypes and demos using physiological signals in real-time adaptive systems as well as published more than 30 journal and conference papers on the topic. His PhD thesis on new conceptual framework for physiological computing was defended in March 2018, and his Master’s thesis on the topic of using data mining methods on physiological datasets won the second place in SIGCHI Finland’s annual best HCI thesis competition in 2012. His main interests relate in how human cognitive and emotion processes can be modelled by observing physiological signals. A previous team member, currently Ilkka works at IMEC – Interuniversity Microelectronics Centre an international research & development and innovation hub, active in the fields of nanoelectronics and digital technologies.