TITLE: "Multimodal classification of stressful environments in visually impaired mobility using EEG and peripheral biosignals"
DATE: Friday, 28th September 2018, 11:30 a.m.
VENUE: Medical Physics Laboratory, Medical School, Aristotle University of Thessaloniki
(Entrance 8, Medical School - 3rd floor)
SPEAKER: Kyriaki Kalimeri, Computational Social Science Researcher, ISI Foundation (Turin, Italy) & ISI Global Science Foundation (New York City, USA)
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A Few words about Kyriaki Kalimeri:
Kyriaki Kalimeri received her Diploma in Electrical and Computer Engineering from the Technical University of Crete in 2008 and her Ph.D. degree from the University of Trento in 2013 in Cognitive and Brain Sciences. 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 was a visiting Ph.D. at the Human Dynamics Group at MIT Media Lab, Cambridge, USA. Her current research interests lie at the intersection of social sciences and engineering in terms of multimedia signal processing, statistical machine learning and computational social science. She is particularly interested in employing machine learning techniques for the automatic prediction of psychometric and affective profiles from digital multi-modal data. Her work ranges from analysis of psysiological data for the development of affective assistive technologies, to smartphone, web browsing and social media data analysis for behavioural nudging.