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个人简介
Prof. Dimitrios Moshou (http://gr.linkedin.com/pub/dimitrios-moshou/15/bb8/a66) is Full Professor at AUTH, Head of Laboratory of Agricultural Engineering and collaborating academic at CERTH/IBO. He holds a PhD from the Departments of Electrical Engineering and Biosystems, Faculty of Engineering, K.U. Leuven, Belgium, an MSc in Control Systems from the University of Manchester and an MSc in Electrical Engineering. His research interests include the theory and applications of bio-inspired information processing, neuroscience, self-organisation and computational intelligence. He is interested in applications of these techniques in intelligent control, pattern recognition, data fusion and cognitive robotics. Application areas include mechatronics and non-destructive quality control and monitoring of bio-products and crops. He has been involved in the proposal preparation, management and research part of several EU projects involving smart optical sensors, data fusion and computational intelligence techniques. He was co-recipient of the Phytofar Prize 2001 for the “Development of a weed activated spraying machine for targeted application of herbicides”. He is serving as editor of Sensors-MDPI (2019 IF=3.031) and co-editor of Remote Sensing-MDPI (2019 IF=4.118). He is partner in H2020 AFRICULTURES and in H2020 EUXDAT in big data analytics, sensor fusion and deep learning. He is the author of one research monograph on self-organizing networks and learning schemes (Dimitrios Moshou, “Artificial Neural Maps”, ISBN: 978- 3639150568, 2009) and the book “Sensors in Agriculture”, Vol. 1 – 2, Dimitrios Moshou (Ed.), ISBN 978-3-03897-859-6 (PDF) (https://www.mdpi.com/books/pdfview/bookset/1342 ), Published: August 2019. He is co-author of the monograph “Intelligent Data Mining and Fusion Systems in Agriculture” (https://www.elsevier.com/books/intelligent-data-mining-and-fusion-systems-in-agriculture/pantazi/978-0-12-814391-9 ). He is the author of more than 250 papers in peer-reviewed journals, book chapters and reviewed international conference proceedings (resulting in 3400+ citations and an h-index=29). He has contributed in research and management tasks of 50 local and EU research projects. He has been involved in the proposal preparation, management and research part of several EU projects involving smart optical sensors, data fusion and machine learning techniques. He is the editor of Sensors MDPI (Sensors in Agriculture, impact factor 3.031). He is task and WP leader in H2020 AFRICULTURES 774652, H2020 EUXDAT 777549 and coordinator of H2020 STARGATE 818187 and H2020 SIEUSOIL 818346.
研究兴趣
论文共 142 篇作者统计合作学者相似作者
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Raul Palma, Bogusz Janiak,Luís Moreira de Sousa,Kathi Schleidt,Tomáš Řezník,Fenny van Egmond,Johan Leenaars,Dimitrios Moshou,Abdul Mouazen, Peter Wilson, David Medyckyj-Scott,Alistair Ritchie,
CoRR (2024)
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Dimitrios Moshou,Charalampos Paraskevas, Konstantinos S. Kechagias,Xanthoula Eirini Pantazi, Afroditi-Alexandra Tamouridou, D. Stavridou, Konstantnos Pliatsidis, Evdoxi-Glykeria Pantazi, Vasilios Fragos,Joaquín Balduque-Gil, Paraskevi Vourlioti, Stelios Kotsopoulos,
Zenodo (CERN European Organization for Nuclear Research) (2023)
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Dimitrios Moshou,Charalampos Paraskevas,Xanthoula Eirini Pantazi, Konstantinos S. Kechagias, Afroditi-Alexandra Tamouridou, Konstantnos Pliatsidis, Evdoxi-Glykeria Pantazi,Joaquín Balduque-Gil, Paraskevi Vourlioti, Stelios Kotsopoulos,Francisco José Lacueva-Pérez
Zenodo (CERN European Organization for Nuclear Research) (2023)
Landno. 12 (2022): 2200-2200
Information and Communication Technologies for Agriculture—Theme II: DataSpringer Optimization and Its Applicationspp.17-40, (2022)
Advances in Science, Technology & InnovationWater-Energy-Nexus in the Ecological Transitionpp.365-368, (2022)
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