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Post-doc Researcher

CmPA, KULeuven

I am applying machine learning in space weather applications, such as solar flare forecasting and solar coronal structure segmentation and detection.

• Machine learning
• Space Weather
• Solar Flare Forecasting
• Solar Coronal Structure Segmentation
• Physics Driven Neural Networks
• Fast Solar Wind from Coronal Holes
• Machine Learning Algorithms Onboard
• Automatics in Space Exploration (ASAP)
• Teaching assistant for the courses: Space weather and Differential Equations for bio-engineers

Teaching Assistant and PhD Candidate

Engineering ICT & Electronics (ETRO), Vrije Universiteti Brussel (VUB)

PhD Candidate on machine learning for medical imaging applications and Teaching Assistant for the Master's pogramm of Biomedical Engineering and Master's program of Applied Computer Science

• Machine learning
• Medical Imaging
• Teaching assistant for the courses: Algorithms and Data Structures, Image proceesing for medical imaging

Teaching Assistant

Department of Physics, University of Patras

Teaching Assistant for the bachelor's and master's courses of Electronics and Signal Processing

• Analog Electronics
• Digital Electronics
• Pattern Recognition
• Signal Processing
• Teaching assistant for the courses: Lab sesssions for Analog Electronics, Lab sessions for Digital Electronics and DSPs, Lab sessions on signal processing and pattern recognition

PhD

Vrije Universiteit Brussel (VUB)

Deep Learning for medical imaging applications

MSc in Electronics and Communications

University of Patras

Computer vision and pattern recognition - Thesis: Real-time hand gesture recognition

BSc in Physics

University of Patras

Specialization: Electronics and Signal Processing - Thesis: Music genre classification using machine learning

Automatics in Space Exploration (ASAP)

An EU Horizon project: The ASAP project is dedicated to advancing the automation of space mission operations by harnessing the power of artificial intelligence. By developing AI-driven algorithms optimized for onboard processors, ASAP aims to enhance the autonomy, efficiency, and adaptability of future space missions. This initiative represents a critical step toward reducing human intervention in mission operations, allowing spacecraft to make intelligent decisions in real time, even in deep-space environments.

• AI onboard
• Solar Flare Forecasting
• Solar Coronal Structure Segmentation
• Selective downlink

BELSPO: Deep learning prediction and hindsight of flare initiation - DELPHI

Implement and evaluate different CNN architectures of growing complexity, to find which are optimal for flare predictions (with or without working in operational conditions), and which provide the best results in improving our understanding of the flare initiation mechanisms.

• Solar Flare Forecasting

DEFRA - AIDefSpace

Using Artificial Intelligence to defend telecommunications and satellite positioning systems from the interference of space weather events.

• Solar Flare Forecasting
• Space weather events and telecommunications

icovid.ai

Diagnose covid releated lesions on CT scans using machine learning

• Medical imaging and Deep learning
• Lesion detection

Augmented Reality for Industrial Maintenance Procedures (ARIA)

A computer vision project in close collaboration with imec to provide deep learning based object detection for a training application using augmented reality (AR).

• Real-time object detection using deep learning
• Augmented Reality (AR)