Intelligent Data Science Lab
UNIVERSITY OF WESTERN ONTARIO
IDSL Research
Our research bridges together intelligent systems, data science, software engineering, and decision making under uncertainty.
Research Themes
IoT & Smart Systems
Exponential advancements in development and deployment of IoT systems, smart infrastructures, and our dependency on these systems.
Safety & Resiliency
Developing tools to help resolve software issues faster and advance toward better system safety, security, and resiliency.
Automated Reasoning
Key role in understanding system behavior, verification, run-time monitoring, anomaly detection, and intrusion detection.
Data-Driven Engineering
Computational research in data-driven software engineering gets complex with the amount of data needed to reach outcomes.
Our Focus
IDSL conducts data mining, software engineering, and machine learning research with a focus on safety-critical software systems to ensure that modern day safety-critical systems are safe, secure, and resilient.
We often collaborate with industry partners and other academic researchers for problem-solving in specific domains.
Learn More About Our ResearchLatest News
Stay updated with our latest research and activities
Starting our AI for Social Good Seminar Series with inaugural speaker 'Prof. Milind Tambe', Harvard
We are thrilled to launch our AI for Social Good Seminar Series, led by Western University and supported by University of Waterloo, UBC, and the International Center for Applied Systems Science for Sustainable Development. Our first inaugural speaker is Prof. Milind Tambe, Harvard University, USA.
Read moreJoin Our Research Team
Please see our publications list for more information on our research. Our team members and some examples of current and past projects are also available on our team page. We upload our presentations and workshops to the resources page.
Our group is recruiting year-round for postdocs, MASc and PhD students, visiting students and undergraduate students. All admitted students will receive a stipend.
How to Apply
If you are interested in pursuing research or graduate studies, please email Dr. Apurva Narayan with the following documents:
- CV
- Research Statement
- Sample work (if applicable)