Alexandros Gazis

Country: Greece

Education: PhD or Doctorate

Affiliation: Democritus University of Thrace School of Engineering Department of Electrical and Computer Engineering Xanthi, Greece

Domain of Research: Technology Trends,Machine Vision,Intelligent Systems,Artificial Intelligence,Software Engineering and Quality,Artificial Consciousness and Artificial Brain,Artificial Imagination,Artificial Intelligence,Artificial Neural Networks,Cloud Computing,Computer Networks,Computer Vision,Data Retrieval and Data Mining,Data Science,Databases,Decision Making,Decision Support Systems,Distance Learning,Distributed Computing,Distributed Systems,Human Computer Interaction,Human-Robot Interaction,Intelligent Systems,Internet of Things,Parallel and Distributed Computing,Parallel Computing,Pervasive Computing,Smart Cities,Soft Computing,Software Engineering

Biography: Alexandros Gazis (agazis@ee.duth.gr) received his diploma in Electronic and Computer Engineering and his MSc in Microelectronics and Computer Systems from the Department of Electrical and Computer Engineering, Democritus University of Thrace, Greece in 2016 and 2018 respectively. Since 2018, he is a PhD candidate at the same university, in the field of computer science and a member of its “Operating Systems and Middleware for Pervasive Computing and Wireless Sensor Networks” research group. He has taken part in research programs, both national and international. In particular: ALPINE (A low paper, intelligent, sensor network architecture for environmental management), a Greek General Secretariat of Research and Technology (GSRT) project. E-polis, a Hellenic Foundation for Research and Innovation (HFRI) funded project. Moreover, he is a Teaching Assistant and a Lab Demonstrator, supervised by Assistant Professor Eleftheria Katsiri. Mr. Gazis is a member of the Technical Chamber of Greece and he works in the private sector, as a Software Engineer for PiraeusBank S.A., specialized in banking systems. He has published articles on Artificial Intelligence, web data analytics, remote sensing, and neural networks. His research focuses on Internet of Things via wireless sensor networks, cloud computing, and middleware development for pervasive computing.