Amanatiadis Angelos

RANK:

Assistant Professor

SECTOR:

Production Systems

LABORATORY:

Laboratory of Robotics and Automation

EXPERTISE:

Robotics (ΦΕΚ Γ’ 1092/14.07.2020)

CV:

 

ADDRESS:

12 Vas. Sofias Str., Building Ι, Office 206

EMAIL:

aamanat@pme.duth.gr

TELEPHONE:

25410 – 79340

PERSONAL WEBPAGE:

Link

SCIENTIFIC INTERESTS

Robotic systems – Autonomous vehicles – Artificial intelligence and Machine learning – Machine vision – Robot perception – Human-robot interaction – Design and implementation of digital systems.

UNDERGRADUATE COURSES

  • Robotics
  • Control Systems
  • Computational Intelligence and Machine Learning
  • Big Data Analytics

POSTGRADUATE COURSES

  • Business Intelligence

SHORT CV

Angelos Amanatiadis received his Diploma and his Ph.D. (Hons.) from the Department of Electrical and Computer Engineering, DUTH, Greece, in 2004 and 2009, respectively. His research lies at the intersection of autonomous robotic systemscomputer visionmachine learning, and real-time embedded systems. He has received the Stavros Niarchos Award for Promising Young Scientists and a State Scholarships Foundation (IKY) Postdoc scholarship. He is a Senior member of the IEEE and awarded as one of the Transactions “Outstanding Reviewers” in appreciation of outstanding service to the IEEE Society.

His published work includes 3 journal special issues as guest editor, 30 papers in refereed international journals, 3 chapters in books and over 40 papers in international conference proceedings. Ηe holds one patent and has been the technical manager of several European and National R&D projects. He is Associate Editor of the International Journal of Advanced Robotic Systems and HardwareX Journal and has been member of the program/organizing committee of more than 10 international conferences. He has also served as expert evaluator in research grant funding bodies for the European Commission, the Government of Canada, Italy, Cyprus and Latvia. Many aspects of his research have been prominently featured in wider media, such as, BBCBloombergRT and also in technology-focused media, such as IEEE SpectrumPopular MechanicsPopular ScienceEngadget. Currently, he is working as the Chief Research Engineer for building the first Hellenic Autonomous Vehicle (HAV) with the aid of deep learning and artificial intelligence.

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