Svetlana Yanushkevich

Associate Dean, Equity, Diversity & Inclusion

Schulich School of Engineering

Associate Dean, Research (Faculty Research & Scholarship)

Schulich School of Engineering


Department of Electrical and Software Engineering

Dr. Habilitated - Information Sciences

Technical University of Warsaw, 1999

BSc, MSc, PhD - Computer Engineering

Belarussian State University of Informatics and Radioelectronics, 1992

Contact information


Information and Communications Technology Building : ICT 343

Office hours

Monday to Friday: 9 to 11 a.m.



Digital Systems Design (ENEL 453


Fundamentals of Biometric Systems Design (ENCM 509)

Biometric Technologies and Systems (ENEL 610) 

Preferred method of communication

Please use email.


Research areas

  • Biometric technologies
  • Data analytics
  • Pattern recognition
  • Machine reasoning
  • Probabilistics decision-making
  • Wearables
  • Digital design
  • Multi-valued logic systems

Research activities

Biometric technologies, digital design, computational intelligence, machine reasoning


Dr. Yanushkevich directs the Biometric Technologies Laboratory, the only research facility dedicated to biometric system design in Canada. She is a Chair of the Biometric Taskforce in the IEEE Computational Intelligence Society. With her team, she is developing novel decision support and risk assessment strategies based on machine reasoning, with applications to biometric-enabled access control (risk assessment of misidentification) and healthcare monitoring systems (gait abnormalities detection, action/activity recognition, face attribute analysis).


S. Eastwood, and S. Yanushkevich, Risk Assessment in Authentication Machines, In: R. Abielmona, et. al. Eds, Recent Advances in Comput. Intell. in Defense and Security, Springer, 2016, pp 391-420

K. Lai, S. Yanushkevich,, Bridging the Gap Between Forensics and Biometric-Enabled Watchlists for e-Borders, IEEE Comput. Intell. Magazine, vol. 12, no. 1, 2017, pp. 17--28

K. Lai, S. Yanushkevich, et al., Mass Evidence Accumulation and Traveler Risk Scoring Engine in e-Border Infrastructure, IEEE Trans. Intell. Transp. Syst., vol. 19, no. 10, 2018, pp. 3271--3281

W. A. Shier, S.N. Yanushkevich, Pain Recognition and Intensity Classification Using Facial Expressions, IEEE Int Joint Conference on Neural Networks (IJCNN), WCCI 2016, Vancouver, 2016



GREAT Supervisor Award, Faculty of Graduate Studies 


Service Award, Schulich School of Engineering