Summary
Education
Software
Certification
Work History
Skills
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Hi, I’m

Giorgos Yiannikas

MSc Electrical Engineering
Voula
Giorgos Yiannikas

Summary

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level position. Ready to help team achieve company goals.

Education

University of Patras
Patras, Greece

Master of Science from Electrical Engineering
10.2017 - Current

University Overview

Diploma Work:

System development for user verification and identification using Surface Electromyography (sEMG) signals

Description:

Conducted an advanced research project aimed at developing a robust biometric authentication system utilizing surface electromyography (sEMG) signals. The objective of the system is to allow users to establish a personalized code through distinct hand gestures, which are then captured and stored as unique sEMG signals.

Key Features:

Gesture Enrollment:

  • Users register by executing a chosen hand gesture, capturing the corresponding sEMG signal.
  • The personalized sEMG signal is stored securely in the system as the user's biometric reference.

Siamese Convolutional Neural Network (CNN):

  • Implemented a specialized Siamese CNN architecture for comparative analysis of sEMG signals.
  • Trained the network to discern whether two input sEMG signals correspond to the same individual executing the same hand gesture.

Biometric Authentication:

  • During authentication, users present their hand gesture, generating a real-time sEMG signal.
  • The Siamese CNN evaluates the similarity between the presented signal and the stored biometric reference, allowing or denying access based on a predefined threshold.

Key Achievements:

  • Developed a Siamese Convolutional Neural Network (CNN) tailored for processing sEMG signals.
  • Integrated data from the Myo armband, a low-cost non-invasive device capable of measuring electromyography signals, as a primary data source.
  • Aimed to create a user-friendly application with functionality akin to facial recognition or fingerprint scanning, using sEMG signals for efficient and secure user verification and identification.

Significance:

This project demonstrates a novel approach to biometric authentication using affordable technology, contributing to the advancement of non-invasive user identification systems.

Future Implications:

The research lays the groundwork for the development of practical applications, potentially leading to the creation of secure and cost-effective alternatives to traditional biometric authentication methods.

This diploma work showcases a blend of theoretical knowledge and practical application, highlighting proficiency in signal processing, machine learning, and the integration of emerging technologies for solving real-world challenges.

Academic Projects & Experience

Digital Signal Processing:

  • Design of Filters using the Remez algorithm and Linear programming for Min-Max Approximation

Digital Image Processing:

  • Image Classification using Convolutional Neural Networks
  • Image Compression
  • Image Enhancement
  • Shape Detection
  • Image Restoration
  • Image Retrieval from databases

Processing Methods with Machine Learning:

  • Bayes Optimal Classifier
  • Build from scratch and train Neural Network with loss function a) Hinge, b) Cross-entropy and c) Exponential for binary classification.
  • Image restoration when part of it is lost through inpainting or resolution reduction.
  • Probability density approximation using Gaussian kernel.
  • Application of K-means for clustering

Probabilistic Estimators:

  • Kalman Filter

Adaptive Control and Reinforcement Learning:

  • Controller Design with MIT rule, MRAC and ADI techniques
  • Adaptive control at systems with uncertainties using Neural Networks
  • Reinforcement learning control.

Non-linear Control:

  • System linearization with input-state method
  • System linearization with input-output method

Software

Python

C

Matlab

Java

Windows 10/11

Microsoft Office

Certification

Certificate of Proficiency in English

Work History

Self Employed Services

Private Academic lessons
01.2022 - Current

Job overview

Helping fellow students

GIOULOS SOUND
Athens

Public event Sound & Light System installations
05.2021 - Current

Job overview

In charge of crew for the sound and lighting coverage of public and private events

Skills

Friendly, positive attitude

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Interests

Projects with Arduino, Rasberry Pi

Sports and martial arts

Tang Soo Do black belt

Jiu Jitsu Orange belt

Kick Boxing

Beekeeping

Giorgos YiannikasMSc Electrical Engineering