Security AI Networks Lab
SAIN is a collaborative research environment focused on addressing critical challenges at the intersection of cybersecurity, machine learning, and distributed systems. The lab brings together expertise from three core domains: password security and broader cybersecurity frameworks, advanced machine learning techniques with a specialization in graph neural networks, and scalable distributed computing systems. With a team comprising experienced faculty researchers, master’s and Ph.D. students, the lab conducts interdisciplinary research to develop innovative solutions for secure, intelligent, and efficient systems.
Research topics
- Cybersecurity
- Machine Learning
- Distributed Systems
- AI
- Computer Security
- Information Privacy
- Application Networks
- Network Science
- Recommendation Systems
- Usable Security
SAIN Lab Works
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Partners
The SAIN Lab is a proud partner of NSERC and SSHRC
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Our Research Areas
Research areas include:
- Information Security and Privacy
- Artificial Intelligence
- Application Networks
- Network Science
- Recommendation Systems
- Usable Security
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Awards & Accomplishments
Dr. Julie Thorpe is a full professor in the area of cybersecurity. Dr. Abari is an experienced researcher in machine learning and graph neural networks, having earned the distinction of Excellent Researcher Award in 2024 at Ontario Tech University.
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Technologies
High performance computing systems & graphical processing units (GPUs)
How you can reach us
Location: Software and Informatics Research Centre, Room 3160
Contact: Julie Thorpe, Amirali Salehi-Abari, Ying Zhu
Check out the SAIN Lab Website here!
