Research activities in graph machine learning and spatio-temporal models
Speaker: Prof. Filippo Maria Bianchi
UiT the Arctic University of Norway
DEIB - Seminar Room "A. Alario" (Bld. 21)
October 18th, 2024 | 12.00 pm
Contact: Prof. Filippo Maria Bianchi
UiT the Arctic University of Norway
DEIB - Seminar Room "A. Alario" (Bld. 21)
October 18th, 2024 | 12.00 pm
Contact: Prof. Filippo Maria Bianchi
Sommario
On October 18th, 2024 at 12.00 pm the seminar titled "Research activities in graph machine learning and spatio-temporal models" will take place at DEIB Seminar Room "Alessandra Alario" (Building 21).
I will present the research activities that me and my group are focusing on. Those, include basic research in machine learning for graph data, spatio-temporal modeling, and probabilistic approaches for uncertainty quantification and clustering. As applications instead, I will focus on those in energy analytics problems and on remote sensing.
The presentation will be at a very high level and will be aimed at finding common interests for potential collaborations with other researchers.
I will present the research activities that me and my group are focusing on. Those, include basic research in machine learning for graph data, spatio-temporal modeling, and probabilistic approaches for uncertainty quantification and clustering. As applications instead, I will focus on those in energy analytics problems and on remote sensing.
The presentation will be at a very high level and will be aimed at finding common interests for potential collaborations with other researchers.
Biografia
Filippo Maria Bianchi is an Associate Professor at UiT the Arctic University of Norway at the Dept. of Mathematics and Statistics. He also holds an adjunction position as a senior researcher at NORCE Norwegian Research Center, within the Earth Observation group.
He is the vice-chair of the IEEE Task Force on Learning for Structured Data, a member of the Graph Machine Learning Group in Lugano, the Northernmost Graph Machine Learning group, and the IEEE Task Force on Reservoir Computing. His research interests lie at the intersection between machine learning, dynamical systems, and complex networks.
Homepage: https://sites.google.com/view/filippombianchi/home
He is the vice-chair of the IEEE Task Force on Learning for Structured Data, a member of the Graph Machine Learning Group in Lugano, the Northernmost Graph Machine Learning group, and the IEEE Task Force on Reservoir Computing. His research interests lie at the intersection between machine learning, dynamical systems, and complex networks.
Homepage: https://sites.google.com/view/filippombianchi/home