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Pratik Kumar Mishra

Photo of Pratik MishraPhD Candidate

BME (University of Toronto, Rehabilitation Sciences Institute)




Research Interest

  • Unsupervised learning
  • Anomaly detection
  • Computer vision


Starting in January 2021, Pratik is a Ph.D. student in Biomedical Engineering, at the University of Toronto with IATSL working with Dr. Shehroz Khan and Dr. Alex Mihailidis. His thesis involves the development of automated approaches for the detection of behaviours of risk, notably, agitation and aggression, in people with dementia in a long-term care environment. He is currently a Highly Qualified Person with AGE-WELL Network. Prior to that, he obtained his master's degree in computer science and engineering from the Indian Institute of Technology Indore, India, where he worked on developing machine learning methods for one-class classification.


1. S. S. Khan, Pratik K. Mishra, Nizwa Javed, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni. Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia, IEEE Access, vol. 10, pp. 10349-10358, 2022.

2. Pratik K. Mishra, C. Gautam, A. Tiwari. Minimum Variance-Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification, Neural Computing and Applications, pp.1-15, 2021.

3. C. Gautam, A. Tiwari, Pratik K. Mishra, S. Suresh, A. Iosifidis, M. Tanveer. Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification, Cognitive Computation, 13(2), pp.552-569, 2021.

4. C. Gautam, Pratik K. Mishra, A. Tiwari, B. Richhariya, H. M. Pandey, S. Wang, M. Tanveer. Minimum Variance-Embedded Deep Kernel Regularized Least Squares Method for One-class Classification and Its Applications to Biomedical Data, Neural Network, vol. 123, pp. 191-216, 2020.