![Gasteratos_img](https://pme.duth.gr/wp-content/uploads/2021/01/Gasteratos.jpg)
Gasteratos Antonios
Rank: | Professor |
Sector: | Production Systems |
Laboratory: | Laboratory of Robotics and Automation |
Expertise: | Robotics, mechatronics, industrial automation, computer vision, machine learning (Official Gazette Γ’ 1060/21-10-2016 and B’ 4335/5-10-2020) |
CV: | |
ADDRESS: | Vas. Sophias 12, GR-671 32 Xanthi; Building Ι, Office 204 |
EMAIL: | agaster@pme.duth.gr |
PHONE: | +30 2541079359 |
PERSONAL WEBSITE: | Link |
SCIENTIFIC INTERESTS
Robotics/mechatronics with emphasis on artificial vision systems, inertial and hearing and their fusion. Autonomous behaviors. Machine learning and deep learning architectures with application to cognitive vision and cognitive robotics. Intelligent and autonomous robotics. Data and sensor fusion with applications in robotics and automation. Industrial automation, applications in the factory of the future. Safety in industrial and mechatronics systems. Design and implementation of electronic systems with applications in digital image processing, machine vision and pattern recognition.
UNDERGRADUATE COURSES
- Electronics
- Mechatronics
- Robotics
- Control Systems
- Computer Vision
POSTGRADUATE COURSES
- Industrial Automation and Robotics
SHORT CV
Professor Antonios Gasteratos (Fellow IET) is a Full Professor of Robotics at the Department of Production and Management Engineering of the Democritus University of Thrace. He has been working in the Department as a member of the teaching and research staff since 2003 and since 2015 he serves as the Director of the Laboratory of Robotics and Automation and the Director of the Postgraduate program “Innovation, Technology and Business Management”. He has been the Chair of the Department for five years (2015-2020) and Deputy Chair for two year (2020-2022). He holds a Diploma and a PhD from the Department of Electrical and Computer Engineering, Democritus University (1994 and 1999 respectively). He has taught various courses in the Department and in recent years he has been teaching the courses “Mechatronics”, “Electronics”, “Robotics”, “Automatic Control Systems” and “Computer Vision”. He has supervised 12 doctoral theses and also more than 60 diploma theses. During the last 20 years he has been principal investigator for many projects funded mainly by the European Commission, the European Space Agency, the Hellenic Secretariat for Research and Innovation, Industry and other sources, which were mainly related to robotics and computer vision. He has published over 200 articles in scientific journals and international conferences. He is Subject Editor-in-Chief in Electronics Letters and Assoc. Editor at the Expert Systems with Applications, International Journal of Optomechatronics, International Journal of Advanced Robotics Systems. He is a member of committees in international scientific conferences in the field of robotics, vision and new technologies and has organized many international conferences and workshops in these fields. He has been a reviewer for all international journals in the field of machine vision and robotics and many others in electrical/electronics engineering discipline. He is also a project evaluator in various state and international organizations (European Commission, EURAMET, INTAS, Greece, Italy, Cyprus, Russia, Georgia, New Zealand, etc.). His research interests include mechatronics/robotics with an emphasis on artificial vision, balance and hearing systems and their integration; autonomous behaviors (navigation, grip, etc.). deep learning architectures with application to cognitive vision and cognitive robotics; intelligent and autonomous robots (humanoid, moving, underwater, flying, etc.); sensor data fusion with applications in robotics and automation; safety in mechatronic systems; design and implementation of VLSI digital systems and FPGAs; digital image processing with emphasis on non-linear and fuzzy image processing; computer and microprocessor architectures and their applications in digital image processing, machine vision and pattern recognition.
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