معرفی
Reza Samavi serves as an Adjunct Assistant Professor in the Department of Computing and Software within McMaster University's Faculty of Engineering. His research bridges computer science, healthcare, and privacy with specialization in information privacy and security, machine learning, and trustworthy AI systems for medical applications.
Dr. Samavi's research program demonstrates significant evolution from foundational privacy frameworks to increasingly healthcare-focused AI applications:
- Information Privacy and Security in healthcare systems
- Trustworthy Machine Learning for medical decision support
- Deep learning models for child and youth mental health
- Blockchain applications for privacy-preserving eHealth
- Natural language processing for mental health screening
- Uncertainty quantification in medical AI systems
His recent scholarly output (2023-2025) reveals a concentrated research program with strong interdisciplinary collaboration between computer science and healthcare domains, particularly in mental health applications. His work shows increasing focus on practical implementations of AI in clinical settings while maintaining rigorous attention to privacy and trustworthiness.
Dr. Samavi completed his Ph.D. at the University of Toronto in 2013 and has maintained consistent scholarly productivity, with publication output accelerating significantly in recent years. His work has been referenced in patents, picked up by news outlets, and shared across academic social networks.
As an educator, he has taught multiple courses including Modern Software Technology for eHealth (CAS 757), Information Privacy and Security (CAS 767), and Computer Science Practice and Experience (COMPSCI 2XB3) from 2017 through 2020, demonstrating commitment to training the next generation of computer scientists in healthcare applications.
