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Georgios Priniotakis has been a Professor holding a faculty position in the department since October 1999. His subject is "Applications of Innovative Textile Technologies for Multifunctional Clothing Products".
He holds a Master's degree from the University of Leeds in England (M.Sc. in Fiber Science and Technology - 1992) and a PhD from the University of Ghent in Belgium in conductive textiles. His teaching and research interests concern Occupational Safety, Ergonomics, Industrial Production of Multifunctional Garments, and Sustainable Technologies.
He participates in numerous research projects as the scientific director of the university but also in some of them as the coordinator of the whole project.
For several years he was the National Representative of Greece in councils and committee sin EU for research in integrated systems. He has published numerous scientific papers and has participated in more than 100 international conferences over the past 25 years. He is a reviewer in various scientific journals. He is a member of various scientific conference committees and chairman of the Organizing Committee of the AITAE conference held every two years. He has more than 350 situations, and index H 12 (Google Scholar).
Research Interests
- Applied research in the field of smart clothing and applications for medical and military purposes.
- Programming, design, operation and control of intelligent communication systems and networks using sensors made of conductive textile materials.
- Systems modeling and problem solving in industries, companies, organizations, businesses and government agencies. Remote medical diagnosis, disability assistance, and wearable management risk management.
- Development of new yarns and textiles from recyclable materials and waste.
- Development of innovative educational tools.
Postgraduate Courses
Logistics and Distribution
ETEAM Ecological and Environmental Aspects, Textile Management (ERASMUS MUNDUS)
Digital OEH
PGS. Digital Occupational and Environmental Health
Wearable and Affective Computing
PGS. Artificial Intelligence and In-Depth Learning
