PhD, P.Eng.
Assistant Professor, Teaching Stream, Mechanical Engineering
Email: colic@mie.utoronto.ca
Tel: 416-978-5435
Office: MC314
Research Areas
Applied Machine Learning
Research Interests
Diagnosis and Management of Mental Health; Medical Imaging; Brain-Computer Interfaces; Mechatronics
Bio
Professor Sinisa Colic is an Assistant Professor, Teaching Stream in Mechanical and Industrial Engineering, University of Toronto where he teaches courses covering a broad range of topics in data science, deep learning and mechatronics. He received his PhD in Electrical and Computer Engineering at University of Toronto specializing in the areas of time-series analysis, signal processing and machine learning for the development of personalized treatment options in healthcare. Professor Colic was awarded best paper at the 35th Annual Conference of the IEEE EMBC in Osaka, Japan for his work on cross-frequency coupling for characterizing seizure-like events. Professor Colic has been actively involved in entrepreneurial endeavors and was part of the team that was awarded the Digitech Innovation Prize in Paris, France for the commercial work on developing an EEG-based system for the management of major depressive disorder. Professor Colic is a co-founder of the consulting firm With3D Inc. that has provided services to early-stage startups in the technology sector along with tier 1 and tier 2 suppliers in the automotive and manufacturing sectors.
Professor Colic’s current activities focus on three key areas: (i) development of practical experiences in engineering education through teaching and research collaborations with industry partners (e.g., adoption of industry 4.0 practices into the engineering curriculum) (ii) advisory role in research projects intersecting deep learning, mechatronics, and robotics (e.g., preventative maintenance, anomaly detection, digital twins) (iii) promotion of engineering robotics clubs and competitions.
