dr. Ifigeneia Mavridou

Bio

Ifigeneia (Ifi) Mavridou specialises in affective computing, physiological sensing, extended reality (XR: Virtual, Augmented & Mixed Reality) and experiment design. Her doctorate thesis was based on detecting arousal and valence (affective) states through physiological signals using novel wearable sensors in Virtual Reality. Ifi has designed and conducted numerous studies including the largest biometric dataset at the Science Museum London in 2019, and led application projects often focused on training, health-care and wellbeing. 

She previously worked in the industry, at Emteq Labs (UK) as a research engineer contributing towards the development of novel sensing systems and applications. She has since led the Research Consultancy team, exploring and providing consultation on the detection of physio-psychological insights within XR to academic and industrial partners.

Google scholar profile: Ifigeneia Mavridou user=RBOvhY0AA

Top publications

1. A reliable and robust online validation method for creating a novel 3…

   Mavridou, I., Balaguer-Ballester, E., Nduka, C., & Seiss, E. (2023). A reliable and robust online validation method for creating a novel 3D Affective Virtual Environment and Event Library (AVEL). PLOS ONE, 18(4), Article e0278065.

2. Optomyography-based sensing of facial expression derived arousal and …

   Broulidakis, M. J., Kiprijanovska, I., Severs, L., Stankoski, S., Gjoreski, M., Mavridou, I., Gjoreski, H., Cox, S., Bradwell, D., Stone, J. M. M., & Nduka, C. (2023). Optomyography-based sensing of facial expression derived arousal and valence in adults with depression. Frontiers in Psychiatry, 14, Article 1232433.

3. OCOsense Glasses for Facial Expressions Recognition and Contextual Af…

   Mavridou, I., Archer, J. A. W., Cleal, A., Fatoorechi, M., Stankoski, S., Kiprijanovska, I., Broulidakis, J., Gjoreski, M., Nduka, C., & Gjoreski, H. (2023). OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality. 81-84. Paper presented at The 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Cambridge, United Kingdom.

4. emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Bi…

   Gnacek, M., Mavridou, I., Broulidakis, J., Fatoorechi, M., Seiss, E., Kostoulas, T., Balaguer-Ballester, E., Kiprijanovska, I., Rosten, C., & Nduka, C. (2022). emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual Reality. Frontiers in Virtual Reality, 3, Article 781218.