Grant: Canada Research Chairs
University of Ontario Institute of Technology
$100,000.00
Internet of Things
FY 2023-24
Summary
The Internet of Things (IoT) streams a massive amount of data varying in scale, speed, volume and value. Through this data IoT brings revolutions to a wide range of businesses and industrial sectors. However, the real value of the IoT comes from turning this data into actions to inform decision making through insights extracted by various data analytics techniques. The overarching objective of this research is to converge intelligent sensing and advanced data analysis techniques to empower IoT systems with innovative and interoperable AI data modeling and analytical techniques to develop next generation applications in intelligent transportation, smart healthcare, connected and autonomous vehicles, and industrial IoT. This will be carried out by developing novel toolboxes that facilitate data understanding, key feature extraction, interactive visualization, precise detection, accurate predictions, and context-aware personalized user smart services. The research outcomes will be demonstrated through rapid prototyping to show the feasibility, usability, and best practices in the context of the application domain. The results will lower the adoption barriers of IoT to promote the use of intelligent sensing and AI-powered solutions to offer convenience and smart services to revolutionize the way people carry out their everyday business at the enterprise and individual levels and improve the quality of life of Canadians and beyond.
Program
Canada Research Chairs
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2021-00306
Name nom
Elgazzar, Khalid
Department département
Electrical, Computer and Software Engineering - University of Ontario Institute of Technology
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
100000
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
10000
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique 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
RDF2030307
Field of research list names en
Computer vision in data analytics and signal processing
Field of research list names fr
Vision par ordinateur en analytique des données et traitement de signal
Socioeconomic objective list codes
RDS10610
Socioeconomic objective list names en
Information systems, technologies and services
Socioeconomic objective list names fr
Systèmes, technologies et services d'information
Application title
Internet of Things
Keyword
Internet of Things; Data Analytics; Artificial Intelligence; Public Sensing; Smart City; Digital Twin
Application summary
The Internet of Things (IoT) streams a massive amount of data varying in scale, speed, volume and value. Through this data IoT brings revolutions to a wide range of businesses and industrial sectors. However, the real value of the IoT comes from turning this data into actions to inform decision making through insights extracted by various data analytics techniques. The overarching objective of this research is to converge intelligent sensing and advanced data analysis techniques to empower IoT systems with innovative and interoperable AI data modeling and analytical techniques to develop next generation applications in intelligent transportation, smart healthcare, connected and autonomous vehicles, and industrial IoT. This will be carried out by developing novel toolboxes that facilitate data understanding, key feature extraction, interactive visualization, precise detection, accurate predictions, and context-aware personalized user smart services. The research outcomes will be demonstrated through rapid prototyping to show the feasibility, usability, and best practices in the context of the application domain. The results will lower the adoption barriers of IoT to promote the use of intelligent sensing and AI-powered solutions to offer convenience and smart services to revolutionize the way people carry out their everyday business at the enterprise and individual levels and improve the quality of life of Canadians and beyond.
