Data and Deep Learning Engineer
Dimitrios Zografakis received the BSc. degree in informatics from the University of Piraeus and the MSc. degree in data science and machine learning from the National Technical University of Athens. He is currently enrolled as a PhD Candidate at the aforementioned university.
Since 2020, he has worked as an NLP Engineer at the University of Piraeus Research Center, as well as at the National Observatory of Athens as a data engineer, publishing two scientific papers.
Ηe joined the Institute of Communication and Computer Systems (ICCS) of the ECE School of the NTUA in 2021 and has been employed there since then, participating in projects as a data/AI engineer and publishing scientific papers.
He is a skilled S/W programmer and his main research interests include large-scale data processing systems, computer vision algorithms and satellite imagery.
Saturday 11.Nov / 14:20
THEME: AI
The purpose of the workshop is to help attendees understand how optical satellite images work, how they are processed to extract results from wildfire events and predict the severity of a potential wildfire event.
They will learn about the data sources that are needed to predict the severity of wildfire events, like EFFIS, NASA Power, Sentinel-2, etc.
They will also learn how to process ESA’s COPERNICUS Sentinel-2 data using ESA’s SNAP software. SNAP is an open source common architecture for ESA Toolboxes ideal for the exploitation of Earth Observation data.
TAGS: #AI, #EarthObservation