Research Projects
My research involves cybersecurity, data privacy in distributed systems (e.g., cloud, IoT, P2P networks), and the use of generative AI tools like LLMs. I welcome applications from motivated graduate students interested in these areas. If you are passionate about my research, feel free to contact me with your CV, transcript, and a brief statement of research interests. Below is a list of my ongoing projects:
Protecting Children’s Data in LLM-Based Applications
This project introduces a new privacy-preserving software framework, integrating regulations into executable codes within LLM platforms using blockchain and smart contracts.
Compliance Framework for IoT Healthcare Systems
This project designs and implements a software framework for IoMT-based applications that supports Canadian privacy principles (e.g., PIPEDA).
Monitoring Tool for Managing Access Rights
This project design and develop event-driven tools that enable users of LLM-based applications to track the processing activities performed on their sensitive data.
Data Privacy in Peer-to-Peer Energy Trading Systems
This project employs advanced privacy techniques to grant individuals informed control over their data access rights within a P2P energy ecosystem.
Customized Matchmaking in Peer-to-Peer Energy Networks
This project uses preference-based models, semantics, and federated learning to dynamically discover the most suitable energy suppliers based on customer demands.
These projects are funded by the following sources:
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- National Cybersecurity Consortium (NCC)
- Carleton University Development Grant