Section: Highlights of the Year
Highlights of the Year
Contributions to the ETP4HPC agenda
The KerData team contributed to the new ETP4HPC Strategic Agenda (to appear). It will serve as a reference for the future EU funding strategy for HPC. Gabriel Antoniu served as a co-leader of the Programming Environment working group. He also served as a co-leader of 2 transversal ("cross-working group") research clusters: "HPC and the Digital Continuum" and "Data Everywhere". Alexandru Costan served as a member of these groups.
Paper co-authored with the LACODAM team published in a major AI conference
In 2019, Pedro Silva initiated a multi-disciplinary collaboration with the LACODAM Inria team and the team of Manish Parashar at Rutgers University. It addresses Machine Learning in the context of Edge stream processing. The target application is early earthquake detection from motion sensors distributed on the ground.
This collaboration resulted in a co-authored paper titled Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning . It will be presented at the 34th AAAI Conference on Artificial Intelligence (AAAI-20), a top conference for Machine Learning (CORE Rank: A*). It is the first paper published by the team in a major AI venue.
Pierre Matri, earned a PhD in May 2018 co-advised by Maria Pérez (Universidad Politécnica de Madrid, UPM), Alexandru Costan (INSA Rennes) and Gabriel Antoniu (Inria). This PhD was defended at UPM and it received the Outstanding PhD Award (Premio Extraordinario) of UPM.