Monthly Archives: November 2019
On Friday, the 15th of November 2019, we had the pleasure to host Dr. Russ Webb, research director of the newly established Apple AI research lab in Cambridge, UK, who gave a fascinating talk.
RAWFIE (Road-, Air-, and Water- based Future Internet Experimentation) is a project funded by the European Commission (Horizon H2020 program) under the Future Internet Research Experimentation (FIRE+) initiative that aims at providing research facilities for Internet of Things (IoT) devices. The DMML team has been involved in the RAWFIE project since early 2015 and delivered their final contributions in June 2019 as the the project ended. The members of the team invested in the project, Jason and Lionel, were responsible for the design and development of the platform's data analysis tools, enabling experimenters to apply machine learning algorithms on data collected via the platform's unmanned devices.
On Friday, the 8th of November 2019, we have the pleasure of hosting Prof. George C. Anagnostopoulos, who will present his work on:
“Data Analysis and Interpretation of Electromagnetic disturbances detected by Low Earth Orbit (LEO) satellites before Earthquakes (EQs): Perspectives for the EQ prediction research.”
In addition to being a busy mother of a 2 year old, in her research, Frantzseska Lavda has been investigating how to improve the generative properties of variational autoencoders. She will present her ideas in a poster session of the … Continue reading