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Photo of Elham KhodabandehlooElham Khodabandehloo

Post-doctoral Fellow

Toronto Rehabilitation Institute



Dr. Elham Khodabandehloo is a postdoctoral researcher at KITE, Toronto Rehabilitation Institute, University Health Network. She specializes in analyzing of the behavior of people in smart homes and her focus on using machine learning methods for anomaly detection in smart homes. She received her Ph.D. degree in Geo-spatial Information Systems from the K.N. Toosi University of Technology, in 2021. Her research interests include spatio-temporal modeling, machine learning, activity recognition and Ambient Assisted Living(AAL). Currently she is working with of Dr. Shehroz Khan and Dr. Andrea Iaboni in the Intelligent Assistive Technology and Systems Laboratory (IATSL) on real-time location tracking systems (RTLS) in long-term care homes.

Selected Publications

  • HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline
    E Khodabandehloo,D Riboni, A Alimohammadi
    Journal of Future Generation Computer Systems 116(168-189)-2021
  • FreeSia: A Cyber-Physical System for Cognitive Assessment through Frequency-Domain Indoor Locomotion Analysis
    E Khodabandehloo, A Alimohammadi, D Riboni
    ACM Transactions on Cyber-Physical Systems
  • Collaborative trajectory mining in smart-homes to support early diagnosis of cognitive decline
    E Khodabandehloo, D Riboni
    Journal of IEEE Transactions on Emerging Topics in Computing, 2020
    DOI: 10.1109/TETC.2020.2975071
  • TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes
    S Zolfaghari, E Khodabandehloo, D Riboni
    Journal of Cognitive Computation, 1-22
  • Towards vision-based analysis of indoor trajectories for cognitive assessment
    S Zolfaghari, E Khodabandehloo, D Riboni
    2020 IEEE International Conference on Smart Computing (SMARTCOMP), 290-295
    DOI: 10.1109/SMARTCOMP50058.2020.00066