Nikos Kordalis holds a Master’s degree in “Remote Sensing, Geoinformatics and Visualization” from the University of Potsdam, Germany. He has applied remote sensing and machine learning techniques to study phenomena most related to extreme events, such as the detection of thaw slumps in permafrost regions, surface urban heat island and earthquake deformation. He also has a Diploma in Rural & Surveying Engineering from NTUA with a specialization in water resources management and have completed further training courses in Data Science and Web Mapping.

As a Master student he worked at the GFZ Geosciences Research Centre, Potsdam in the department “Earth Surface Process Modelling” where he was involved in the evaluation of geomorphological models using remote sensing data, and the processing of meteorological and seismic data. At Fraunhofer HHI, Berlin he contributed to the writing of technical reports for the Data Working Group (WG-Data), aiming at data standardization for AI/ML applications in the domain of “AI for Natural Disaster Management”.