Intelligent Assistive Technology and Systems Lab - click to go to homepage
IATSL develops assistive technology that is adaptive, flexible, and intelligent, enabling users to participate fully in their daily lives. Learn more about our research

Visit us:

Room 438

500 University Ave.

Toronto, Canada

P 416.946.8573

F 416.946.8570


Send us mail:

160 - 500 University Ave.

Toronto, ON, M5G 1V7



email us!


Follow IATSL on Twitter

Yulia Eskin

Photo of YuliaResearch Developer

M.Sc. (Computer Science, University of Toronto)

B.Sc.(Computer Science, University of Toronto)
(416) 946-8573




Yulia Eskin holds a Masters of Science (2011) and an Honours Bachelor of Science (2009) in Computer Science from the University of Toronto.
Her Master’s work involved designing an Intelligent Nutritional Assessment system (INA) whose goal is to automatically monitor the nutrition of older adults in their own homes.

Computer vision and machine learning algorithms were explored and several novel datasets created. Currently, as a research developer, she is extending her Master’s work to develop a real-time working prototype.
In the summer of 2012, a pilot study will be conducted in which the prototype will be deployed in Toronto and compared against current nutritional assessment methods.

As an undergraduate student, she was involved in a research project in computer vision with Professor Sven Dickinson and Michael Jamieson. The project's goal was to extend an automatic image annotation system.


  1. Eskin, Yulia and Alex Mihailidis. An Intelligent Nutritional Assessment System. 2012 AAAI Fall Symposium Series. Arlington, VA. November 2012.
  2. Jamieson, M., Eskin, Y., Fazly, A., Stevenson, S. and Dickinson, S. Discovering Hierarchical Object Models from Captioned Images, Computer Vision and Image Understanding. March, 2012.
  3. Yulia Eskin, Arlene Astell, Liz Williams, Faustina Hwang, Tim Adlam and Alex Mihailidis. Assessing nutritional status in the NANA (Novel Assessment of Nutrition and Ageing) project. RESNA (Rehabilitation Engineering and Assistive Technology Society of North America)/ICTA (International Conference on Technology and Aging). June 2011, Toronto, Canada.
  4. Michael Jamieson, Yulia Eskin, Afsaneh Fazly, Suzanne Stevenson and Sven Dickinson. Discovering Multipart Appearance Models from Captioned Images. European Conference on Computer Vision. Greece, September 2010.
  5. Jasper Snoek, Babak Taati, Yulia Eskin and Alex Mihailidis. Automatic Segmentation of Video to Aid the Study of Faucet Usability for Older Adults. Computer Vision and Pattern Recognition Workshop for Human Communicative Behavior Analysis. San Francisco, CA, June 2010.