Trustworthy AI Research Lab (TAILab)

The Trustworthy Artificial Intelligence Research Lab (TAILab) in the Department of Electrical and Computer Engineering at Toronto Metropolitan University (formerly, Ryerson University) is focused on research on understanding trust on machine learning particularly from information security perspective. While we are interested on data security research in its classical sense, in our research we see data as a dynamic entity that its characteristics change throughout its lifecycle, from sensing, collection, used in learning and inferencing to the time that it turns to a decision (data product). Therefore, a major focus of my research group is on the security and privacy of algorithmic rendering of data using machine learning. By understanding data and its security, we are also interested to support privacy, transparency and accountability on data and its products through formalizing validation, attribution and evidence (please see my interview).

I seek to recruit highly qualified individuals pursuing a graduate degree and postdoc. Please check my research interests prior to sending an email. Your email should include (as attachments and not URLs), your CV, transcripts (both undergrad and graduate), and a research statement describing a research topic and how the topic is related to my research interests. Due to the volume of emails only potential candidates will be contacted.

If you are currently an MEng student and interested on Security and Machine Learning, I might be able to help you explore topics and projects that would suit your background and supervise your project.

TAILab Research Group is strongly committed to upholding the values of Equity, Diversity, and Inclusion (EDI). Consistent with the Tri-Agency Statement on EDI, and the Dimensions Pilot Program at Toronto Met. University, our group will foster an environment in which all will feel comfortable, safe, supported, and free to speak their minds and pursue their research interests. We recognizes that engineering culture can feel exclusionary to traditionally underrepresented groups in STEM fields. By acknowledging the EDI issues that exist in our field, we aim to validate the challenges faced by each group member, and continually strive to improve our group’s culture for all members.

We meet bi-weekly to discuss research topics on AI and Machine Learning Security, Privacy. Please see the meeting schedule and discussion topics here. If you are interested to attend please contact Reza Samavi.