The individuals listed below have indicated a willingness to supervise an undergraduate project course or an undergraduate directed studies course. The specifics of the project or directed reading course will require further development.

Available: EECS4070 and/or EECS4080; lsk@yorku.ca; Submit CV, Transcript, and a paragraph about prior experience in machine learning and deep learning, link to GitHub page if applicable.

Large language models, generative AI, Resposible AI

Fairness analysis of a patent dataset, AI fairness in medical imaging, AI fairness in LLMs.

Requires: Python machine learning programing

Recommended: Deep learning

Available: EECS4070 and/or EECS4080; egz@yorku.ca; The interested students are required to submit their CV along with an abstract Max 300 Words) describing their interests and plans for their future job, as well as a self-description if they require specific accommodations for taking this course. All students, including underrepresented groups, are most welcome to take this course and join my research team.

Area: Deep Learning Models for Analysis of Clinical Microscopic Images

This faculty member has a specific project listed under proposed projects.

Available: EECS4070 and/or EECS4080; Please contact Prof. Kostas Kontogiannis at kkontog@yorku.ca and submit an unofficial transcript and your CV.

Area: Software Engineering - Sub-Areas: System Understanding, Software Transformation, Fault Proneness Prediction, Topic: Automatic Transliteration of source code

This faculty member has a specific project listed under proposed projects.

Available: EECS4070 and/or EECS4080; Send an email to sallin@yorku.ca

I'm interested in exploring the accessibility to both users and developers of audio games, with the goal of informing an accessible gaming event (like a hackathon) in the future. Example games are at https://audiogames.net/playcenter/index_exp.php. I'd like to explore directional sound and haptic feedback, specifically, and hope to create drivers/examples/components that could be easily adopted by others during future hackathons or maker events.

Open to projects in the areas as indicated above.

Project equipment and community consultation needs will be supported.

Available: EECS4070 and/or EECS4080; Send an email to koyibo@yorku.ca including your CV, transcript, and a cover letter explaining your skillset and why you are interested in the course/project.

Intersection of HCI/Persuasive Technology and AI/Machine Learning

This faculty member has a specific project listed under proposed projects.

Available: EECS4070 and/or EECS4080; submit CV to guddin@yorku.ca directly

Trustworthy AI Systems Engineering, Software Engineering for Machine Learning, Machine Learning for Software Engineering

Trustworthy AI Systems Engineering, Software Engineering for Machine Learning, Machine Learning for Software Engineering

Required Skills:

• Software Engineering, Machine Learning, Human Computer Interaction