Laboratory Teaching Staff Member
Department of Production & Management Engineering
School of Engineering
Democritus University of Thrace
Vas. Sophias 12
Building 1,  Office 304
GR-671 32, Xanthi
GREECE
tel: +30 25410 79892

         

Thanasis Balafoutis is a Laboratory Teaching Staff Member in the Department of Production and Management Engineering at Democritus University of Thrace (DUTH). He received his Diploma in Electrical and Computer Engineering from DUTH and his MSc, PhD in Artificial Intelligence and Constraint Satisfaction Problems from the University of the Aegean. He has been awarded by the Technical Chamber of Greece (TEE) for his academic performance and has received a scholarship from the University of the Aegean for the same reason.

His research interests span the field of Artificial Intelligence with a focus on machine learning, machine vision, constraint programming, constraint satisfaction, deep learning, fuzzy control and intelligent robotics systems. He is also interested in space science applications, flight software design for nanosatellites and software-defined radio development. 

He has published more than 20 scientific articles in the international literature (journals and conference proceedings) with more than 200 references (h-index: 10 in Google Scholar). He is also a reviewer of several scientific papers in international conferences and journals, as well as a member of academic and scientific committees. He participated as a researcher in a number of national and European programs (ESA, EU FP7) and was a member of the DUTH research group that designed and built the first Greek Nanosatellite (GR01-DuthSAT). He is a member of the Technical Chamber of Greece, the Hellenic Artificial Intelligence Society (EETN), scientific manager of the educational organization STEM Education and member of the scientific team of the WRO Hellas organization that designs the challenges of the annual pan-Hellenic robotics competition.

Teaching

  • Fall 2022 : Θ08 Intelligent Industrial Production Systems