Machine Learning

We are pleased to announce that the team of the FLogA project of Prof. Elias Manolakos was selected among more than 100 teams and participated together with 11 other teams in the final of the Greenathon | AI4Good competition of the Ministry of Environment and Energy on Tuesday, November 11, 2020.…
GRAPES - Learning, processing and optimising shapes
Members of the Department of Informatics and Telecommunications participate in GRAPES, an EU funded project that was submitted under the H2020-MSCA-ITN-2019 call and is part of the Marie Sklodowska-Curie Actions — Innovative Training Networks (ITN) funding scheme. GRAPES will fund 2 PhD candidates…
FLogA tool for simulation and geo-animation of wildfires
FLogA is a fully automated forest fire simulation tool that allows the user to select any forest area within Europe and simultaneously predict the spread of multiple fire scenarios by displaying the possible combined effect in animation format. Research conducted by Prof. E. Manolakos and N.…
Learning and Analysing Massive / Big complex Data
The research project LAMBDA aims at transferring game changing technologies to the European industry in critical areas of Machine learning. Based on recent algorithmic breakthroughs, we adapt sophisticated methods to targeted industries, with a twofold goal: First, to help turn cutting edge tools…