Dr. Sinisa Colic

Biography

Sinisa Colic is an Assistant Professor, Teaching Stream, in the Department of Mechanical and Industrial Engineering at the University of Toronto. His teaching portfolio spans courses in data science, deep learning, and mechatronics, with a strong emphasis on practical interdisciplinary engineering applications. He earned his Ph.D. in Electrical and Computer Engineering from the University of Toronto, where his research focused on time-series analysis, signal processing, and machine learning in the development of data-driven treatment strategies for healthcare. During his doctoral studies, he completed a postdoctoral fellowship at McMaster University, working on medical imaging data to support the diagnosis and treatment of mood disorders. He received a Paper Award at the 35th Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in Osaka, Japan, for his work on a cross-frequency coupling tool to characterize seizure-like events. An active contributor to innovation and entrepreneurship, Colic was part of a team that won the Digitech Innovation Prize in Paris, France, for developing an EEG-based system to manage major depressive disorder. He is also a co-founder of With3D Inc., a consulting firm that delivers services to early-stage startups and established suppliers in the automotive manufacturing industries. With a decade of involvement in the University of Toronto Engineering Outreach office, he has played a key role in designing and implementing experiential learning techniques in engineering education. Colic is also the recipient of the MIE Early Career Teaching Award in recognition of his outstanding contributions to engineering education. His current academic research interests are centered on the development of hands-on, industry-informed learning experiences in engineering education, the integration of Industry 4.0 technologies into the curriculum, and promoting student engagement through robotics clubs and competitions.

Research Interests