Dr. Svetlana Yanushkevich
Positions
Professor
Schulich School of Engineering, Department of Electrical and Software Engineering
Full Member
Hotchkiss Brain Institute
Full Member
Mathison Centre for Mental Health Research and Education
Contact information
Web presence
Phone number
Office: +1 (403) 210-5410
For media enquiries, contact
Joe McFarland
Media Relations and Communications Specialist
Cell: +1.403.671.2710
Email: Joe.Mcfarland@ucalgary.ca
Preferred method of communication
Background
Educational Background
BSc/MSc in Electrical Engineering Electrical and Computer Engineering, State University of Informatics and Radioelectronics, Minsk, 1989
Doctor of Philosophy Electrical Engineering, State University of Informatics and Radioelectronics, Minsk, 1992
Dr. Habilitated Technical Sciences, Warsaw University of Technology, 1999
Biography
Dr. Yanushkevich directs the Biometric Technologies Laboratory, in the Schulich School of Engineering at the University of Calgary. Dr. Yanushkevich’s team is developing novel decision support and risk assessment strategies based on machine reasoning, with applications to biometric-enabled access control and risk assessment, and healthcare (vitals monitoring from wearables, assessing risk of infectious disease spread and agent-based modeling), and human-autonomy teaming (operator's cognitive workload monitoring, situational awareeness and decision support). Dr. Yanushkevich chaired the Biometric Task Force in the IEEE Computational Intelligence Society in 2017-2020, and is a Member of the IEEE Biometric Council.
Research
Areas of Research
Biometric-enabled system design, biometric technologies, decision support, biometric identity management, expert elicitation, assistive biometrics, and augmented alternative communication (such as sign language recognition)
Machine reasoning for risk assessment, probabilistic graph models, Bayesian network, causal models, Bayesian decision support, bias and trust assessment
Biometrics for healthcare, vital signal monitoring, medical image processing, biomedical signal processing, wearables for biomedical applications, AI-based biomedical data analysis
Machine learning and machine reasoning for healthcare, support of human operators in human-autonomy teaming, probabilistic causal models including Bayesian networks and Granger causality, generative AI for data synthesis, trust in human-autonomy teaming
Participation in university strategic initiatives
Courses
| Course number | Course title | Semester |
|---|---|---|
| ENCM 509 | Fundamentals of Biometric Systems Design | Winter 2025 |
| ENCM 509 | Fundamentals of Biometric Systems Design | Winter 2024 |
| ENCM 509 | Fundamentals of Biometric Systems Design | Winter 2023 |
| ENCM 509 LAB 01 B01 | Fundamentals of Biometric Systems Design | Winter 2022 |
| ENCM 509 LAB 01 B01 | Fundamentals of Biometric Systems Design | Winter 2021 |
| ENEL 610 LEC 01 01 | Biometric Techonologies & Systems | Winter 2021 |
| ENCM 509 LEC 01 01 | Fundamentals of Biometric Systems Design | Winter 2020 |
| ENEL 610 LEC 01 01 | Biometric Techonologies & Systems | Winter 2020 |
| ENEL 453 | Digital Systems design | Fall 2019 |
Awards
- EIC Fellow (FEIC), The Engineerign Institute of Canada (EIC). 2024
- Senior member, IEEE. 2001
- Schulich School of Engineering Graduate Supervision Excellence Award, Schulich School of Engineering, University of Calgary. 2023
- Schulich School of Engineering Research Excellence Award, SSE, University of Calgary. 2019
- Schulich School of Engineering Service Excellence Award, SSE, University of Calgary. 2017
- Excellent Teaching Performance in course ENCM 509, 2014
- Visiting Invitation Fellowship By Japan Society for Promotion of Sciences, Hokkaido University. 2012
Publications
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