Invited by Associate Professor of Medical Education Informatics Panagiotis Bamidis, Kyriaki Kalimeri, Computational Social Science Researcher at ISI Foundation (Turin, Italy) & ISI Global Science Foundation (New York City, USA) visited our laboratory on September 28, 2018. Mrs Kalimeri gave a lecture on "Multimodal classification of stressful environments in visually impaired mobility using EEG and peripheral biosignals", during her visit. Also, in the same framework, Mrs Kalimeri toured the research facilities at the AUTH Medical Physics Lab, she was hosted at the e-home of the Thessaloniki Active and Healthy Ageing Living Lab (ThessAHALL) and had the opportunity to meet and discuss with most of the researchers of our team.
The leaders of Lab’s research groups presented to Mrs Kalimeri their work and researchers made short presentations of the projects which are in progress in the current period, exchanging views with their special guest on future partnerships and possible mutual transfer of know-how in their fields of interest.
Prof. Bamidis and all the research staff members of our Laboratory express their warmest acknowledgments to Ms Kalimeri for her visit to our premises, her interesting presentation and the opportunity to spend a very fruitful day with her, wishing to visit our Lab soon again.
Short CV of Kiriaki Kalimeri
Kyriaki Kalimeri received her PhD degree from the University of Trento in 2013 and her Diploma in Electrical and Computer Engineering from the Technical University of Crete in 2008. Currently, she is a researcher at the ISI Foundation, Turin, Italy and ISI Global Science Foundation, New York City USA, while previously she has been a research assistant at the Fondazione Bruno Kessler, Trento, Italy and a visiting PhD at the Human Dynamics Group at MIT Media Lab, Cambridge, USA. Her main contributions are the areas of digital humanities and computational social science, ranging from the analysis of physiological data for the development of affective assistive technologies to smartphone and social media data analysis for behavioural nudging for populations in need.