Atena Roshan Fekr

Dr. Roshan Fekr holds the position of Assistant Professor at the Institute of Biomedical Engineering, University of Toronto, and is affiliated with the KITE Research Institute at the University Health Network. She earned her Ph.D. in Electrical and Computer Engineering from McGill University and furthered her research as a postdoctoral fellow at KITE.

Her main research topic is to develop smart technologies to help seniors and patients live more safely and independently. To reach this goal, she is contributing to three main programs: “Slip, Trip and Falls Prevention”, “Program to Accelerate Technologies for Homecare (PATH)” and “Program for Infection Prevention”. With her expertise in Applied Artificial Intelligence, she has built a number of strong partnerships with prominent researchers and industry partners who have contributed to the success of her research program. Her collaborators span the disciplines of Biomedical Engineering, Rehabilitation science, Electrical and Computer Engineering and Computer Science.

Recent Publications

1. Rachel Cohen, Geoff Fernie, Atena Roshan Fekr, “Estimating Fluid Intake Volume using a Novel Vision-Based Approach,” Innovation and Research in BioMedical engineering journal (Elsevier), 2023, 100813, ISSN 1959-0318, https://doi.org/10.1016/j.irbm.2023.100813 (related to my PATH program).
2. Ali Barzegar Khanghah, Geoff Fernie, Atena Roshan Fekr, “A novel approach to tele-rehabilitation: Implementing a biofeedback system using machine learning algorithms,” Machine Learning with Applications journal (Elsevier), Volume 14, 2023, 100499, ISSN 2666-8270, https://doi.org/10.1016/j.mlwa.2023.100499 (related to my PATH program).
3. Kaylie Lau, Geoff Fernie & Atena Roshan Fekr, “A novel method to predict slip resistance of winter footwear using a convolutional neural network,” Footwear Science, 15:3, 219-229, DOI: 10.1080/19424280.2023.2198987, (related to my Slip, Trip and Fall Prevention program)
4.  Shilpa Jacob, Geoff Fernie and Atena Roshan Fekr, "Design and Evaluation of a Wearable Biofeedback Training System to Reduce Trip-Related Falls During Level Walking," IEEE Sensors Journal, vol. 23, no. 9, pp. 9990-9998, 1 May1, 2023, doi: 10.1109/JSEN.2023.3253519, (related to my Slip, Trip and Fall Prevention program).
5. Kimia Hadian, Geoff Fernie and Atena Roshan Fekr, “Development and Evaluation of BLE-Based Room-Level Localization to Improve Hand Hygiene Performance Estimation”, Journal of Healthcare Engineering, Volume 2023 | Article ID 4258362 | https://doi.org/10.1155/2023/4258362, (related to my Infection Control program).
6. Kimia Hadian, Geoff Fernie and Atena Roshan Fekr, “A New Performance Metric to Estimate the Risk of Exposure to Infection in a Health Care Setting: Descriptive Study”, JMIR Form Res 2022;6(2):e32384, doi: 10.2196/32384, (related to my Infection Control program).
    

Honours & Awards

• 2023 | Nominated for “Mitacs Award for Exceptional Leadership — Professor”
• 2022 | Nominated for “Sensors 2023 Young Investigator Award”
• 2017 | Best Paper Award - MobiHealth Conference
• 2016 - 2017 | Ontario Centers of Excellence (OCE) — TalentEdge Fellowship Program 
• 2016 | Outstanding Teaching Assistant Award - McGill University
• 2014 | McGill Graduate Research Enhancement and Travel Awards (GREAT)
• 2014 | Best Paper Award Nominee - IEEE BIBE Conference
• 2011 - 2013 | McGill International Doctoral Award (MIDA)
• 2011 - 2013 | McGill Engineering Doctoral Award (MEDA)
• 2011 - 2013 | Joseph S. Stauffer Fellowship - McGill University