Grant: Discovery Grants Program - Individual
York University
$15,000.00
Algorithms for communication networks and bioinformatics
EF 2010-11
Résumé
My research draws from my background in Computer Science and Electrical Engineering and aims to propose solutions to problems in Computer Networks and Bioinformatics. I work on various aspects of wireless sensor networks, which are an exciting new development in Computer Science and Engineering. Sensor networks
are a wireless network formed by tiny battery-powered nodes that are capable of doing computation and communication. Typically these nodes are deployed in some random manner and then they self-organize into a coherant network that can be queried by a remote user. These networks have applications in many scenarios including regions dangerous for humans or regions where human activity is not desirable. I am especially interested in the problem of localization or determination of geographical locations of sensor nodes in a distributed manner. My previous work (supported by NSERC) resulted in better algorithms for sensor network localization. I plan to work on localization in more general scenarios as well as other problems in this area. I would also like to improve performance by making
use of better battery models.
I will also work on designing efficient algorithms for computational problems in Bioinformatics. Recent advances in Biology have resulted in the generation of huge volumes of data that cannot be analyzed by hand. For example, many new genomes are being sequenced and automated analysis is essential for understanding them. I collaborate with Biologists at York University as well as the University of Rochester to solve computational problems and design efficient algorithms that result in tools that Biologists can use in their research. Much of my work is in the area of genomic signal processing which is a new field that involves application of ideas developed for signal processing (including image processing and speech processing) to Biological data.
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
239886-2010
Name nom
Datta, Suprakash
Department département
Computer Science and Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2010
Award amount
15000
Program id
RGPIN
Program name 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
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
803
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer communications
Area of application fr
Téléinformatique
Research subject code
2508
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications networks
Research subject fr
Réseaux de télécommunications
Partie
1
Nb partie
5
Application title
Algorithms for communication networks and bioinformatics
Keyword
NSERC
Application summary
My research draws from my background in Computer Science and Electrical Engineering and aims to propose solutions to problems in Computer Networks and Bioinformatics. I work on various aspects of wireless sensor networks, which are an exciting new development in Computer Science and Engineering. Sensor networks
are a wireless network formed by tiny battery-powered nodes that are capable of doing computation and communication. Typically these nodes are deployed in some random manner and then they self-organize into a coherant network that can be queried by a remote user. These networks have applications in many scenarios including regions dangerous for humans or regions where human activity is not desirable. I am especially interested in the problem of localization or determination of geographical locations of sensor nodes in a distributed manner. My previous work (supported by NSERC) resulted in better algorithms for sensor network localization. I plan to work on localization in more general scenarios as well as other problems in this area. I would also like to improve performance by making
use of better battery models.
I will also work on designing efficient algorithms for computational problems in Bioinformatics. Recent advances in Biology have resulted in the generation of huge volumes of data that cannot be analyzed by hand. For example, many new genomes are being sequenced and automated analysis is essential for understanding them. I collaborate with Biologists at York University as well as the University of Rochester to solve computational problems and design efficient algorithms that result in tools that Biologists can use in their research. Much of my work is in the area of genomic signal processing which is a new field that involves application of ideas developed for signal processing (including image processing and speech processing) to Biological data.