Dionysis Giannaropoulos

AI Associate Researcher · Software Engineer

Associate Researcher at iPRISM and Software Engineer at Empedus, specialising in AI, robotics, and intelligent platforms. Passionate about neural networks, climate services, and space-inspired autonomy.

iPRISM Lab M.Sc. AI & Applications (ongoing) Based in Greece
Contact GitHub LinkedIn
dion@neuro-shell: ~/about
~ whoami Analytical researcher & engineer exploring neural networks, robotics, satellite data and intelligent systems for real-world impact. ~ focus TERRA Horizon Europe · Promptera · Adaptive Neural Nets · Robotics & EO.
Projects & Platforms
TERRA – Climate & Water Intelligence
European Horizon Project · iPRISM · Ongoing

Contributing to an intelligent platform for climate services, focusing on water contamination assessment, coastal change risk, flooding prediction, and vessel activity analysis using satellite imagery, IoT sensors, and AI models.

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Promptera
Self-initiated · AI Developer Platform

AI-powered prompt engineering and agentic workflow studio for developers and teams. Features workspace organisation, prompt editor, multi-model testing, templates and version control in a VS Code–like interface.

View Landing ↗
IRIS – Wearable AI Assistant
Self-initiated · Assistive Technology

Wearable AI vision assistant designed to help blind and visually impaired users understand their surroundings via real-time object detection, spatial awareness, and natural speech interaction.

View on GitHub ↗
answai – Advanced Network Scan With AI
Self-initiated · Security Tooling

Modular network scanner with multiple profiles (fast, intensive, stealth) and AI integration via Ollama for deeper analysis of scan results and insights.

View on GitHub ↗
Autonomous Robotic Vehicle (ROS)
Academic · ROS / ROS 2 · Turtlebot3

Implemented localisation (EKF), odometry, trajectory tracking and SLAM in Gazebo/RViz for an autonomous wheeled robot, including a motion controller and navigation stack.

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Neural Network Architectures Lab
Academic · Deep Learning

Built and tested CNNs, RNNs, LSTMs, GANs, autoencoders and encoder–decoder architectures on tasks such as image generation and object detection to deepen understanding of model behaviour and design.

Experience
Associate Researcher · iPRISM Research Group
Oct 2024 – Present · University of Thessaly

Working on AI-driven climate and environmental services, including the TERRA Horizon Europe project. Contributing to research, data models, and deep learning pipelines for satellite-based analysis and decision support.

Software Engineer · Empedus
Oct 2023 – Present · ServiceNow Platform

Technical analysis, design and implementation on the ServiceNow platform for ITSM, HR, and customer-specific applications. Focus on process optimisation, automation and clean, maintainable solutions.

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Languages & Interests

  • Greek – Native
  • English – Advanced (ECPE, IELTS 7.5)
  • German – Intermediate (B1)
  • Martial arts: Iaido, Aikido, Tameshigiri
  • Target shooting, drums, music composition
Skills
Machine Learning & AI
Deep Learning Neural Networks CNN / RNN / LSTM GANs Reinforcement Learning TensorFlow
Robotics & EO
ROS / ROS 2 Autonomous Navigation SLAM Satellite Imagery Climate / Coastal Modelling
Software Engineering
Python Java JavaScript HTML / CSS C Docker GitHub · CI/CD ServiceNow
Methods & Workflow
Agile / Scrum Kanban DevOps R&D Process Improvement
Education
M.Sc. Artificial Intelligence & Applications
2025 – 2026 · University of Thessaly · Ongoing

Focused on advanced AI methods, neural networks, and real-world applications in robotics, climate services and intelligent systems.

ESA Robotics Workshop – Visiting Student
Oct 2024 · ESA

Worked on an ExoMy rover project: motion controller for autonomous navigation, retraining a pre-trained ANN for object detection, and CI/CD with GitHub and Docker, inspired by Mars rover missions.

B.Sc. Computer Science & Telecommunications
2020 – 2024 · University of Thessaly

Thesis: Detection of Coastline and Sea Level Rise from Satellite Images Using Neural Networks, utilising Sentinel-2 data to detect coastal fluctuations over time.

Publications
Shoreline Changes Detection from Satellite Images Using Deep Learning
AIAI 2025 · IFIP AICT vol. 756 · Springer

Giannaropoulos, D., Kolomvatsos, K. Deep learning–based shoreline detection using Sentinel-2 imagery to analyse coastal change and sea level rise.

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Certifications
  • Disaster Risk Monitoring Using Satellite Imagery
    NVIDIA · Remote
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  • ESA Robotics Workshop 2024
    European Space Agency · On-site
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  • Agile Master Certified
    iLEARN
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  • Self-Driving Robots and ROS 2
    Udemy
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  • Management and Business Analytics
    Workearly
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Languages & Interests

  • Greek – Native
  • English – Advanced (ECPE, IELTS 7.5)
  • German – Intermediate (B1)
  • Martial arts: Iaido, Aikido, Tameshigiri
  • Target shooting, drums, music composition