Panagiotis Barmpoutis' was born in Thessaloniki, Greece. He received his MEng in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2009. He also received his MSc in Forestry Informatics and his MSc in Medical Informatics from the Aristotle University of Thessaloniki in 2012 and 2013 respectively. In 2017 he received his PhD in Forestry Informatics from the Aristotle University of Thessaloniki. His current development and research interests lie in the areas of computer vision and applications, real-time image processing, analysis and visualization, pattern recognition and machine learning. He has coauthored numerous highly cited journal and conference publications. Furthermore, he has participated in Greek and European funded research projects.
et al., 2018, Wood species recognition through multidimensional texture analysis, Computers and Electronics in Agriculture
Barmpoutis P, 2017, Contribution and Combination of Different Wood Sections in Species Recognition using Image Texture Analysis Methods, Pro Ligno, Vol:13, ISSN:1841-4737
Kamperidou V, Lykidis C, Barmpoutis P, 2017, Assessment of the Thermal Characteristics of Pellets Made of Agricultural Crop Residues Mixed with Wood, Bioresources, Vol:12, ISSN:1930-2126
Dimitropoulos K, Barmpoutis P, Grammalidis N, 2017, Higher Order Linear Dynamical Systems for Smoke Detection in Video Surveillance Applications, Ieee Transactions on Circuits and Systems for Video Technology, Vol:27, ISSN:1051-8215, Pages:1143-1154
Barmpoutis P, Lefakis P, 2017, Detection of wood high visual attention's areas for recognition of their species, 18th Pan-Hellenic Forestry Conference and International Workshop