Kayvan Tirdad

Kayvan Tirdad is a well-versed Machine Learning researcher and scientist specializing in the application of artificial intelligence in the healthcare sector. With a strong educational background, Kayvan has pursued rigorous studies in computer science and artificial intelligence.

Kayvan Tirdad holds a Master's degree in Computer Science from Ryerson University, a Master of Engineering in Artificial Intelligence from Amirkabir University of Technology - Tehran Polytechnic, and a Bachelor of Engineering in Computer Software Engineering from Islamic Azad University.

Currently, Kayvan is a dedicated PhD Candidate at Ryerson University, committed to advancing knowledge in the field of Machine Learning and artificial intelligence. Previously, he served as a Graduate Student at Ryerson University, further enriching his research experience.

Kayvan Tirdad's research interests and expertise encompass the intersection of machine learning, artificial intelligence, and health domains, making him a valuable asset in the realm of cutting-edge technology and healthcare innovations.