Trustworthy AI Research Lab (TAILab)

The Trustworthy Artificial Intelligence Research Lab (TAILab) in the Department of Electrical and Computer Engineering at 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).


For Prospective Students:

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.


Statement on Equity, Diversity, and Inclusion (EDI):

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 Ryerson, 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.


TAILab Research Group Meetings:

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.


Current Projects:

Faculty
Reza Samavi, PhD, PEng

Security & Privacy

Machine Learning

Semantic Web

Optimization


Research Students
Hamed Karimi , PhD student Computer Engineering,

Machine Learning Robustness

Secure Machine Learning

Optimization


Hirad Daneshvar, PhD student Computer Engineering,

Machine Learning

Medical AI


Mohammadreza Maleki, PhD student Computer Engineering,

Machine Learning

ML Robustness


Moe Sabry, PhD candidate Computer Science, Co-supervised with Dr. Douglas Stebila (Waterloo Univ.) and Dr. Emil Sekirinski (McMaster Univ.)

Security

Cryptography

Mini Thomas, PhD candidate Software Engineering, Co-supervised with Dr. Antoine Deza (McMaster Univ.)

Security, Privacy & Trust

Optimization

Machine Learning

Mina Yazdani, MASc student Computer Engineering

Security & Privacy

Machine Learning

Optimization


Md. Mahmud Ferdous, MASc student Computer Engineering

Security & Privacy

Machine Learning

Blockchain


Cassandra Czobit, MEng student Computer Engineering

Machine Learning

Generative Adversarial Networks

Sanjoy Kumar Das, MEng student Computer Engineering

Medical AI

Yu Wang, MEng student Software Engineering

Security & Privacy

Machine Learning

Blockchain


Awards: MITACS Award with Highmark Global
Anna Lindsay-Mosher, USRA - Art and Science

Semantic Web

Machine Learning

Social Good


Awards: Undergraduate Student Research Award
Research group meeting - June 2021


Research group meeting - Sep. 2019


Research group meeting - Aug. 2018

Alumni
Omar Boursalie, PhD Biomedical Engineering, Co-supervised with Dr. Thomas Doyle (McMaster Univ.)

Machine Learning

Medical AI

Thesis: Temporally-Embedded Deep Learning Model for Health Outcome Prediction
Position: Sessional lecturer at McMaster University, Department of Electrical and Computer Engineering
Awards: NSERC PGS-D Recipient for 2018-2020
Yuting Liang, MSc Computer Science

Security & Privacy

Optimization

Machine Learning

Thesis: Algorithms in Privacy & Security for Data Analytics and Machine Learning
Position: PhD student at HKUST, Department of Computer Science
Vanessa Calero Bravo, MSc Computer Science

Security & Privacy

Machine Learning

Social Networks

Thesis: A Framework for Measuring Privacy Risks of YouTube
Yifan Ou, MSc Computer Science

Security & Privacy

Optimization

Machine Learning

Thesis: Game Theoretic Analysis of Defence Algorithms Against Data Poisoning Attack
Saman Dhindsa, MEng, Co-supervised with Dr. Gail Krantzberg

Security

Privacy

Project: Privacy Principles for Facial recognition Technology
Position: DependableIT. Technical Service Analysit
Awards: MITACS Award with Highmark Global
Karl Knopf, MSc Computer Science, Co-supervised with Dr. Douglas Stebila
Thesis: Real World Secret Leaking
Position: PhD student, Computer Science, University of Waterloo
Pouyan Momeni, MEng Computer Science
Thesis: Machine Learning Model for Smart Contracts Security Analysis
Position: Senior Software Developer, Scotia Bank
Awards: MITACS Award with Highmark Global
Andrew Sutton, MSc Computer Science
Thesis: Establishing Verifiable Trust in Collaborative Health Research
Position: Blockchain Application Developer at RBC
Awards: SOSCIP Award
Omar Boursalie, MASc Biomedical Engineering, Co-supervised with Dr. Thomas Doyle
Thesis: Mobile Machine Learning for Realtime Predictive Monitoring of Cardiovascular Disease
Position: PhD Candidate at McMaster
Mingyuan Li, MSc eHealth
Thesis: DSAP: Data Sharing Agreements Privacy Ontology
Position: Solution Developer at CIHI
Sameen Ateeq, MSc eHealth
Thesis: Finding and Evaluating Predictive Factors of Fall-Related Injuries
Ali Ariaeinejad, MSc eHealth
Thesis: A Performance Predictive Model for Emergency Medicine Residents
Position: Software Developer at Faculty of Health Sciences, McMaster University
Qian Shan, MEng Computer Science
Project: Augmented Reality Based Brain Tumor 3D Visualization
Farshad Rahimi Asl, MEng Computer Science, Co-supervised with Dr. Fei Chiang
Project: Privacy Aware Web Services in the Cloud
Position: Software Engineer at Evertz
Xiao Dong, MEng Computer Science
Project: COC: An ontology for capturing semantics of circle of care
Position: Senior Software Engineer at BlueCat
Salman Khawaja, MEng Computer Science
Project: Securing the Privacy of Electronic Health Records on Mobile Phones