Kosmas DimitropoulosCentre for Research and Technologies Hellas (CERTH), Greece
Title: PROTEIN: PeRsOnalized nutriTion for hEalthy living
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.
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.