Grant: Canada Research Chairs
University of Manitoba
$50,000.00
Complex Data
EF 2023-24
Résumé
Many natural and man-made systems are now observable with a high level of detail, allowing us to investigate and understand phenomena with an unprecedented level of sophistication.
However, data describing such systems require complex representations encoding both temporal and spatial information.
The objectives of Dr. Livi's research program are to:
Design data-driven methods to process spatio-temporal information represented as evolving graphs;
Unravel the inner mechanisms explaining the functioning of (artificial) recurrent neural networks;
Apply data-driven methods in structural biology and computational neuroscience for solving basic scientific problems having impact on society and healthcare.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2017-00189
Name nom
Livi, Lorenzo
Department département
Computer Science - University of Manitoba
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2017
Award amount
50000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF10102;RDF10201
Field of research list names en
Applied mathematics;Artificial intelligence (AI)
Field of research list names fr
Mathématiques appliquées;Intelligence artificielle (IA)
Application title
Complex Data
Keyword
complex data
machine learning
neural networks
complex systems
graphs
biological systems
Application summary
Many natural and man-made systems are now observable with a high level of detail, allowing us to investigate and understand phenomena with an unprecedented level of sophistication.
However, data describing such systems require complex representations encoding both temporal and spatial information.
The objectives of Dr. Livi's research program are to:
Design data-driven methods to process spatio-temporal information represented as evolving graphs;
Unravel the inner mechanisms explaining the functioning of (artificial) recurrent neural networks;
Apply data-driven methods in structural biology and computational neuroscience for solving basic scientific problems having impact on society and healthcare.
