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Alkinoos Sarioglou's Projects

biomed_imaging icon biomed_imaging

Simulating biomedical imaging modalities (X-Ray, Positron Emission Tomography, Magnetic Resonance Imaging, Ultrasound Imaging) using MATLAB

computer_vision_algorithms icon computer_vision_algorithms

Simulation of Downsampling, Harris Corner Detector, Canny Edge Detector, Triangulation, Stereo Reconstruction and Classification with Convolutional Neural Networks using Python

electromagnetics_models icon electromagnetics_models

Created several software and hardware demonstrators that could be used in the lectures of the first-year Electromagnetic Fields module to illustrate the key concepts and examples

embedded_systems_robot_project icon embedded_systems_robot_project

Building an autonomous robot which followed a white line on a track using reflective sensors and PID controllers using Arduino and C++

machine_learning_on_stm32 icon machine_learning_on_stm32

Classifying a person's actions (opening right hand, opening left hand, opening both hands, closing both hands) based on real motor imagery electroencephalogram (EEG) data on an STM32 microcontroller and the Gapuino board using Python and C++, achieved classification accuracy of 40%

medical_bracelet_bachelor_thesis icon medical_bracelet_bachelor_thesis

Development of a portable medical bracelet which combined both heart rate and electrocardiogram measurements transmitted wirelessly to a webpage and a mobile application in real-time

mini_internet icon mini_internet

Building and operating a fully-functional mini-Internet including dealing with intra-domain routing, inter-domain routing and policy routing by using Docker containers, using Open vSwitch for configuring the L2 switches and using the FRRouting software routing suite for configuring the L3 routers

reliable_transport_tcp_networking icon reliable_transport_tcp_networking

Implementing the Go-Back-N reliable transport protocol capable of sending binary data over unreliable IP networks along with extensions such as Selective Repeat, Selective Acknowledgement and Congestion Control using Python

sensors_classification icon sensors_classification

Processing signals from wearable sensors (pressure, temperature, electrocardiogram, electroencephalogram, electrodermal) to extract features and perform classification using Python

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