Grant: Canada Research Chairs
University of Manitoba
$120,000.00
Complex Data
FY 2021-22
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.
Program
Canada Research Chairs
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
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
2021
Competition year année de concours
2017
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à 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
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:4-1
Partie
1
Nb partie
4
Application title
Complex Data
Keyword
NSERC
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.
