Kosmas Dimitropoulos
Centre for Research and Technologies Hellas (CERTH), GreeceTitle: PROTEIN: PeRsOnalized nutriTion for hEalthy living
Abstract
Today’s diet is
characterized by irregular and poorly balanced meals. Unhealthy eating habits
in our daily life are not only risk factors for NCDs, but also causes of
psychological conditions such as stress and tiredness, which can impact overall
quality of life. Knowledge about our dietary habits based on the analysis of
diverse types of information, including individual parameters, can contribute
greatly towards answering key questions to respond to societal challenges
regarding food and health. New advances in ICT technologies, especially in
wearable sensors, big data analysis and machine learning techniques, as well as
in direct-to-consumer genetic testing, blood, and gut microbiome analysis, open
up new opportunities for researchers to monitor and collect information related
to our dietary behaviors. This analysis can constitute the basis for the
development of innovative solutions for personalized nutrition support helping
consumers achieve long term healthy and sustainable eating habits and patterns.
PROTEIN
developed an end-to-end ecosystem that supports people towards healthy eating
habits by offering a daily program adapted to their needs and driven by their
preferences, characteristics, and health status. The objective of the workshop is to present the
research outcomes of the project in various areas related to personalized
nutrition: algorithms and technologies for personalized nutritional
recommendations and eating behavior analysis, user genetics and gut microbiome
study results, Volatile Organic Compound (VOC) technology and selected results
from corresponding pilots.
Biography
Kosmas
Dimitropoulos is a Researcher of Grade C’ at Information Technologies Institute
(ITI) of the Centre for Research and Technology Hellas (CERTH), the academic
director of AIMOVE Post-Master Programme for CERTH (AIMove – “Artificial
Intelligence and Movement in Industries and Creation”) at MINES ParisTech/PSL
University and a visiting professor at the department of Mechanical Engineering
of Aristotle University of Thessaloniki (AUTH). He holds a diploma in
Electrical and Computer Engineering and a Ph.D. degree in Applied Informatics.
His main research interests include multi-dimensional data modelling and
analysis, artificial intelligence, pattern recognition, human computer
interaction and virtual reality. Kosmas Dimitropoulos has been involved in
several European and national research projects and has served as a regular
reviewer for a number of international journals and conferences. He is
Associate Editor for Frontiers in Robotics and AI.
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