
Six professors from the Faculty of Liberal Arts & Professional Studies’ School of Information Technology have received funding from the Natural Sciences & Engineering Research Council of Canada (NSERC). This project funding was part of an overall $12.1M grant to drive science and engineering research at York. The funded projects are led by 57 different researchers from several Faculties and Schools at York University. The funded projects range in topics from investigating cutting-edge technologies like machine learning, artificial intelligence and engineering, to focus on the natural sciences.
Congratulations to the following professors and their projects from the School of Information Technology receiving grants:
Zhenhao Li
Towards Intelligent Automation in DevOps: Enhancing Collaboration, Observability, and Reliability
$36,000 annually for five years: Discovery Grants program
and
Towards Intelligent Automation in DevOps: Enhancing Collaboration, Observability, and Reliability
$12,500 over one year: Discovery Launch Supplements program
Sotirios Liaskos
Supporting Evidence-based Evaluation of Conceptual Modeling Languages
$37,000 annually for five years: Discovery Grants program
Marin Litoiu
Engineering Adaptive Generative AI Systems
$55,000 annually for five years: Discovery Grants program
Xuan Luo
Fair and Efficient Data Valuation in Data Markets
$36,000 annually for five years: Discovery Grants program
and
Fair and Efficient Data Valuation in Data Markets
$12,500 over one year: Discovery Launch Supplements program
Md Enamul Hoque Prince
Human-AI Interactions for Democratizing Visual Analytics
$37,000 annually for five years: Discovery Grants program
Liang Xue
Privacy-preserving Artificial Intelligence for User-centric Data Protection in Next-generation Networks
$38,000 annually for five years: Discovery Grants program
and
Privacy-preserving Artificial Intelligence for User-centric Data Protection in Next-generation Networks
$12,500 over one year: Discovery Launch Supplements program
Read the full article in YFile.
