Biography

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
DOI: https://doi.org/10.1016/j.future.2020.10.030

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
DOI: https://doi.org/10.1145/3470454

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