Athanasios Tsadiras is Professor of the School of Economics at the Aristotle University of Thessaloniki (AUTH) and Director of the Laboratory “Applications of Informatics in Economic Sciences” (http://infolab.econ.auth.gr). He has been the director of the Department of Applied Economics of the School of Economics, AUTH.
His scientific interests include Artificial Intelligence, Decision Support Systems, Supply Chain, Machine Learning, Artificial Neural Networks as well as Data Mining from Economic Data.
He received his PhD from the School of Applied Informatics of the University of Macedonia in 1997 with his thesis title to be “Artificial Intelligence – Fuzzy Cognitive Representations and Certainty Neurons”. He was awarded, with honors, the postgraduate title M.Sc. in Applied Artificial Intelligence in 1992 from the University of Aberdeen, UK.
He has participated or coordinated more than 30 research and development projects in Greece and Europe. He has published over 80 scientific articles in international journals, conferences and book chapters and has authored 4 books. According to Google Scholar it has over 1300 references (h-index=18). He participated in the organizing committee of 5 conferences and in the scientific committee of more than 50 international conferences.
Education
School of Economics
Room 202,2nd floor Building NOPE, Aristotle University of Thessaloniki GR-54124 Thessaloniki, Greece
2310997181
University of Macedonia
School of Applied Informatics
PostDoc in Decision Support Systems
University of Macedonia
School of Applied Informatics
PhD in Artifiicial Intelligence - Fuzzy Cognitive Maps & Certainty Neurons
University of Aberdeen, Scotland, UK
Computing Science Department
M.Sc. in Applied Artificial Intelligence
Aristotle University of Thessaloniki
School of Physics
Ptyhio in Physics (4 years study)
Athanasios Tsadiras is Professor of the School of Economics at the Aristotle University of Thessaloniki (AUTH) and Director of the Laboratory “Applications of Informatics in Economic Sciences” (http://infolab.econ.auth.gr). He has been the director of the Department of Applied Economics of the School of Economics, AUTH.
His scientific interests include Artificial Intelligence, Decision Support Systems, Supply Chain, Machine Learning, Artificial Neural Networks as well as Data Mining from Economic Data.
He received his PhD from the School of Applied Informatics of the University of Macedonia in 1997 with his thesis title to be “Artificial Intelligence – Fuzzy Cognitive Representations and Certainty Neurons”. He was awarded, with honors, the postgraduate title M.Sc. in Applied Artificial Intelligence in 1992 from the University of Aberdeen, UK.
He has participated or coordinated more than 30 research and development projects in Greece and Europe. He has published over 80 scientific articles in international journals, conferences and book chapters and has authored 4 books. According to Google Scholar it has over 1300 references (h-index=18). He participated in the organizing committee of 5 conferences and in the scientific committee of more than 50 international conferences.
Education
Informatics I (Undergraduate)
Informatics II (Undergraduate)
Management Information Systems - E_Commerce (Undergraduate)
Data Mining & Economic Data Analytics (Undergraduate)
Big Data Analytics & Forecasting in Sypply Chain (Postgraduate)
Smart Logistics & Supply Chain Management and Machine Learning (Postgraduate)
Enterprise Resource Planning (ERP) & Warehousing Management Systems (WMS) (Postgraduate)
IT Trends for Digital Marketing (Postgraduate)
Arampatzis M, Pempetzoglou M, Tsadiras A.
Journal Papers
G. Theodoridis, A. Tsadiras
Journal Papers
Fourkiotis, K.P.; Tsadiras, A.
Journal Papers
It regards Industry 4.0 Technologies for the Production Planning/Supply Chain Management
Technology Transfer Plan through Data Mining and Machine Learning techniques on the online scientific medical and pharmaceutical information platform "Galinos"
Program "Spare parts demand forecasting and inventory management of the Air Astana Airlines"
Operational Program "Competitiveness & Entrepreneurship", Project "Midas-Midas"
ACTION B: Data Mining from Retail Sales Data