Table of Contents

Available Supervisors, S24

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.


Dr. Laleh Seyyed-Kalantari

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.

Directed Studies Topics

Large language models, generative AI, Resposible AI

Project Topics

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

Requires: Python machine learning programing

Recommended: Deep learning


Dr. Ebrahim Ghafar-Zadeh

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.

Directed Studies Topics

Area: Deep Learning Models for Analysis of Clinical Microscopic Images

Project Topics

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


Dr. Kostas Kontogiannis

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

Directed Studies Topics

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

Project Topics

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


Dr. Sonya Allin

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

Directed Studies Topics

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.

Project Topics

Open to projects in the areas as indicated above.

Project equipment and community consultation needs will be supported.


Dr. Kiemute Oyibo

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.

Directed Studies Topics

Intersection of HCI/Persuasive Technology and AI/Machine Learning

Project Topics

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


Dr. Gias Uddin

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

Directed Studies Topics

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

Project Topics

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

Required Skills: