Hold an Electrical & Computer Engineering Diploma (grade: 6.62).Pre-graduate studying specialization in power systems (High Voltage Systems, Lightning arrestors, insulations, Analysis, Control and Stability of Power Systems, Electrical Installations, Economical Issues of Interconnected Power Systems, Renewable Energy Systems, Photovoltaic Technology). MSc in Electronics and Information Processing; post-graduate studies include several projects mainly related to signal and image processing.
Prisma Electronics SA
December 2011 - April 2013
Participation in research program, entitled: “Autonomous optic nano-fiber sensors for fish farm water quality control”
Writing report entitled: “Study of power supply system implementation for on-buoy electronics”
Carpentry Business "Sapsani"
June 2009 - July 2009
Main activities/Knowledge: Office management, organizing skills
Customer Support Technician
Greek Telecommunications Organization (O.T.E. S.A.)
May 2008 - May 2009
Managing costumer calls, Technical support, Troubleshooting malfunctions
Customer Support Technician
Greek Telecommunications Organization
August 2005 - March 2006
Main activities: Managing costumer calls, Technical support, Troubleshooting malfunctions
Power Line Communications
Description of PLC (PowerLine Communication) technology. The use of electricity power lines as a communication channel necessitates the application of multiple access Strategies as FDMA (Frequency Division Multiple Access), TDMA (Time Division Multiple Access) and CDMA (Code Division Multiple Access), which are currently some of the most popular. Focus on TDMA and FDMA with OFDM signal modulation. This technique is called OFDMA (Orthogonal Frequency Division Multiple Access). Simulation of Several proportional rate constraints algorithms in Matlab applying both OFDMA and TDMA strategies in order to compare these algorithms in terms of the maximized total throughput and the fair allocation of resources to the end users (fairness).
Synthetic Aperture Radar (SAR) Data Classification Using Artificial Neural Networks
Study and interpretation of SAR data through supervised classification, with the use of Neural Networks method. Experimental classification process for three basic land cover structures. Textural feature extraction from Gray Level Co-occurrence Matrix (GLCM) and Gray Level Run Length Matrix (GLRLM).
Qualifications & Certifications
MSc Electronics and Information Processing
Department of Physics, University of Patras
Diploma in Electrical and Computer Engineering
Department of Electrical and Computer Engineering, University of Patras, Greece
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