Dr. Mihailidis has been conducting research in the field of pervasive computing and intelligent systems in health for the past 13 years, having published over 100 journal papers, conference papers, and abstracts in this field. He has specifically focused on the development of intelligent home systems for elder care and wellness, technology for children with autism, and adaptive tools for nurses and clinical applications.
Predicting the role of assistive technologies in the lives of people with dementia using objective care recipient factors.
BMC Geriatr. 2016;16(1):143
Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters.
Med Eng Phys. 2016 Jul 4;
Disabil Rehabil Assist Technol. 2016 Jun 13;:1-12
Disabil Rehabil Assist Technol. 2016 Apr 7;:1-11
Can J Occup Ther. 2016 Apr;83(2):70-71
Can J Occup Ther. 2016 Apr;83(2):68-9
J Gerontol Nurs. 2016 Mar 15;:1-8
IEEE J Biomed Health Inform. 2015 Dec 24;
Disabil Rehabil Assist Technol. 2016 Jan 8;:1-18
Estimating in-home walking speed distributions for unobtrusive detection of mild cognitive impairment in older adults.
Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:5175-8
Senior Scientist, Toronto Rehabilitation Institute (TRI)
Associate Professor, Department of Occupational Science and Occupational Therapy & Institute of Biomaterials and Biomedical Engineering; cross appointment in the Department of Computer Science, University of Toronto