Personal profile

Biography

Marie Skłodowska-Curie Early Stage Researcher, part of the EU Horizon 2020 SPIN ITN (Grant agreement ID: 955515)

Machine learning-based earthquake monitoring and forecasting

Research Interests

  • Deep learning
  • Neural architecture search
  • Spatiotemporal forecasting
  • Real-world AI applications:
    • Natural hazard management
    • Climate change mitigation and adaptation
    • Earth observation
    • Environmental monitoring

Teaching

Tutor: Data Science in Ecology and Environmental Science (ECSC10038), Coding Club (https://ourcodingclub.github.io/), Image Processing (PGEE11021)

Demonstrator: Visual Analytics (PGGE11239), Key Methods in Physical Geography (GEGR09018), Object-Oriented Software Engineering: Spatial Algorithms (PGGE11106), Technological Infrastructures for GIS (PGGE11234)

Supporting induction sessions for new tutors & demonstrators

Education/Academic qualification

Artificial Intelligence and Data Analytics, Master in Science, University of Macedonia

Sept 2020Jul 2022

Award Date: 6 Dec 2022

Electrical and Computer Engineering, Master in Science, Aristotle University of Thessaloniki

Sept 2014Jul 2019

Award Date: 19 Jul 2019

External positions

Marie Skłodowska-Curie Early Stage Researcher, BGS (British Geological Survey)

Oct 2022 → …

Licensed Professional Engineer, Technical Chamber of Greece

Oct 2019 → …

Research Themes and Networks

  • College of Science and Engineering Research Themes

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