Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science Discipline of Emergency Medicine, Faculty of Medicine
email: sczarnuch@mun.ca phone: +1 (709) 864-8767
Dr. Stephen Czarnuch, Ph.D., is an Associate Professor of Biomedical Engineering, joint-appointed to the Faculty of Engineering and Applied Science and the Faculty of Medicine, and director of the Centre for Artificial Intelligence at Memorial University. He is also currently serving as the co-chair of the joint Masters of Applied Science in Software Engineering and Masters of Artificial Intelligence, co-hosted by the Department of Electrical and Computer Engineering and Department of Computer Science, and is the program coordinator for the Centre for Artificial Intelligence. Dr. Czarnuch obtained his Ph.D. from the University of Toronto in Biomedical Engineering, focusing on human motion and activity detection using computer vision and machine learning. He has extensive experience developing technologies for vulnerable populations, implementing a holistic, user-centered design philosophy centered on identifying user needs and evaluating health outcomes. His research is inherently interdisciplinary, lying at the intersection of engineering, computer science, medicine, gerontology, rehabilitation, psychology, and sociology. Specifically, he seeks to develop relevant, accessible, acceptable and adoptable patient-oriented technological interventions based on autonomously tracking human motion using computer vision. Further, he emphasizes the evaluation of technology efficacy by connecting academic research with healthcare providers and patients in a real-world context. His technical focus is on machine learning, deep learning, and computer vision.
Two areas of interest, human motion tracking and public safety personnel, have formed the foundation of my biomedical engineering research which is situated at the intersection of engineering, computer science, medicine, gerontology and rehabilitation science. My general areas of research are:
Thesis
Raylene Mitchell; M.Eng.; Computer Engineering; 2021 Nadine Leduc; M.A.; Sociology; 2020 Angela Power; PhD; Humanities and community health; 2019 Zizui (Bear) Chen; PhD; Computer Engineering; 2019 Chengsi (Leo) Zhang; PhD; Computer engineering; 2018 Ali Ebrahimi; PhD; Computer engineering; 2017 Isaac Adejuwon; M.Eng.; Computer engineering; 2017
Coursework
Runze An; M.A.Sc.; Text-to-trauma: Pre-screening next-generation 911 text messages to classify level of potential psychological trauma; 2020 Rajat Acharya; M.A.Sc.; Detection of the presence or absence of humans in digital images; 2020 Vigneshwar Ramaswamy; M.A.Sc.; Identification of image scale using neural networks; 2020 Tejhaskar Ashokkumar; M.A.Sc.; Automatic detection of image blur and distortion in RGB images; 2020 Christiana Fraderick; M.A.Sc.; Detection of image orientation and camera perspective; 2020 Viren Chaturbhai; M.A.Sc; Automated detection of fire/explosion in images and video sequences; 2020
Research
Aaron Wiseman; Immersive virtual reality and augmented reality in medical intern training; 2019 Eugene Krustev; Assessing Abnormal Gait in Patients with Multiple Sclerosis; 2017 Hamza Ballouk; Intelligent Technologies that can Assist Seniors with Dementia to Age at Home; 2017 Christen Vessey; Prosthetics for Dancers with Transtibial Amputations: A literature review; 2017
and Collaborators
Rosemary Ricciardelli, PhD (Sociology), Memorial University APCO Canada, Association of Public-Safety Communications Officials Canada CIPSRT, Canadian Institute for Public Safety Research and Treatment CUPE104, RCMP Telecom Operations and Intercept Monitoring
Annie Brown, M.O.H.S.; A Comparison of the Department of National Defense and the Mental Health Commission of Canada Versions of the Road to Mental Readiness Training Program; 2019 Andrew Hynes, M.Eng.; Developing a Pipeline for Gait Analysis with a Side-View Depth Sensor; 2018 Yan Tian; M.A.Sc.; Finger Joint Detection for Clinical Practice; 2016 Zheng Yang; M.A.Sc.; Human motion tracking-by-detection using point cloud data from multiple depth sensors; 2015
Natural Sciences and Engineering Research Council (NSERC; 2016) Canaidan Institute of Health Research (CIHR; 2018; 2018; 2017) Social Sciences and Humanities Research Council (SSHRC; 2017) Mitacs (Mitacs; 2020; 2018; 2018) Memorial University (MUN; 2019; 2016; 2015) Multiple Sclerosis Society of Canada (MS Society; 2014)
Current work
Interested students.