Grant: Discovery Grants Program - Individual
Carleton University
$40,000.00
Geometric computing
EF 2011-12
Résumé
My research area is Computational Geometry, a field devoted to the design and analysis of algorithms and data structures for geometric problems. My research focuses both on theoretical and practical issues. The geometric application areas I concentrate on include adhoc routing in wireless networks, geometric networks, mesh generation/manipulation, graph drawing, visualization and pattern recognition. An algorithm that is proven to be theoretically efficient often fails to be practically useful as it may only become efficient when the size of the problem is unreasonably large or the algorithm may be too complex to implement. However, the existence of theoretically efficient algorithms often provides insights into a problem and leads to the development of algorithms that are equally efficient in practice. The main goal of my research has been and continues to be to bridge the gap between theoretical and practical efficiency by finding practical algorithmic solutions to applied geometric problems that have theoretical performance guarantees. Below, I provide an example of the type of geometric problems I am currently concentrating on.
Communication between wireless devices has an inherent geometric component since these devices have a physical location which is constantly changing. Problems in this area are particularly challenging since the network is dynamic, i.e. the wireless devices are usually moving. Moreover, this dynamic nature means that no single entity has complete knowledge of the whole network, requiring the development of algorithms that are online and use little memory. My research in this area focuses on the following themes: (1) How to route (i.e. find a path) efficiently in a geometric network, (2) How to construct geometric networks with certain desirable properties?
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
204772-2009
Name nom
Bose, Prosenjit
Department département
Computer Science, School of
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2009
Award amount
40000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
331
Committee name en
Computing and Information Sciences - B
Committee name fr
Informatique - B
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Partie
3
Nb partie
5
Application title
Geometric computing
Keyword
NSERC
Application summary
My research area is Computational Geometry, a field devoted to the design and analysis of algorithms and data structures for geometric problems. My research focuses both on theoretical and practical issues. The geometric application areas I concentrate on include adhoc routing in wireless networks, geometric networks, mesh generation/manipulation, graph drawing, visualization and pattern recognition. An algorithm that is proven to be theoretically efficient often fails to be practically useful as it may only become efficient when the size of the problem is unreasonably large or the algorithm may be too complex to implement. However, the existence of theoretically efficient algorithms often provides insights into a problem and leads to the development of algorithms that are equally efficient in practice. The main goal of my research has been and continues to be to bridge the gap between theoretical and practical efficiency by finding practical algorithmic solutions to applied geometric problems that have theoretical performance guarantees. Below, I provide an example of the type of geometric problems I am currently concentrating on.
Communication between wireless devices has an inherent geometric component since these devices have a physical location which is constantly changing. Problems in this area are particularly challenging since the network is dynamic, i.e. the wireless devices are usually moving. Moreover, this dynamic nature means that no single entity has complete knowledge of the whole network, requiring the development of algorithms that are online and use little memory. My research in this area focuses on the following themes: (1) How to route (i.e. find a path) efficiently in a geometric network, (2) How to construct geometric networks with certain desirable properties?