Academic Staff

Dr. Efstratios F. Georgopoulos

SFG

Dr. Efstratios F. Georgopoulos

Professor of Data Analysis, Modelling and Machine Learning

Computer and Informatics Engineer, PhD,

 

Head of the Data Analysis and Modelling Lab

 

 

 




 

Contact Info:

 

Office Address:

University of Peloponnese,
Antikalamos, 24100 Kalamata,
Greece,
tel.: 00302721045278
 

 

e-mail: sfg(at)teikal.gr

 

Home Page: https://sites.google.com/site/efstratiosfgeorgopoulos/home




 

 

Personal Info:

Efstratios F. Georgopoulos was born in Kalamata, in southwestern Greece, in 1973. In 1995 he graduated from the Department of Computer Engineering & Informatics, of the School of Engineering of the University of Patras. In the June of the year 2000 he completed his Ph.D. Thesis with title “Application of Genetic Algorithms for Artificial Neural Networks Optimization” in the Pattern Recognition Laboratory of the above department.

Currently, he serves at the Department of Agriculture at the University of Peloponnese as full Professor of “Data Analysis, Modelling and Machine Learning”.

He has also worked as Professor at the Tecnological Educational Institute of Peloponnese from 23rd of December 2003 until 7th of May 2019, and as part time Lecturer in the Department of Computer Science of the Athens University of Economics and Business from March 2003 till February 2004. From October 2003 until July 2017, he was cooperating with the Hellenic Open University as a Tutor in a number of different modules, of graduate or post-graduate level, of the Computer Science Degree.

From 25/09/2000 until 25/08/2002 he served as Lieutenant (cadet officer) of Research and Informatics Corps of the Greek Army.

He is an author of a number of scientific articles in international journals, conference proceedings and book chapters. He has also written University teaching material and a text-book.

He has participated in a number of development and scientific projects.

His research interests focus in the areas of Computational Intelligence, (especially Artificial Neural Networks and Evolutionary Algorithms), Machine Learning, Data Analysis, Mathematical Modelling, System Modelling, Signals and Systems, Time Series and Computational Finance.