Shehroz S. Khan

Shehroz S. Khan

University of Toronto

H-index: 26

North America-Canada

About Shehroz S. Khan

Shehroz S. Khan, With an exceptional h-index of 26 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of One-class Classification, Deep Learning, Aging, Rehabilitation, Multimodal Sensors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions

Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learning

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives

Artificial Intelligence-driven Virtual Rehabilitation for People Living in the Community: a Scoping Review

User Perception of Smart Home Surveillance Among Adults Aged 50 Years and Older: Scoping Review

Revisiting Annotations in Online Student Engagement

VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability

Shehroz S. Khan Information

University

Position

Scientist, KITE, Toronto Rehabilitation Institute

Citations(all)

4139

Citations(since 2020)

2735

Cited By

2399

hIndex(all)

26

hIndex(since 2020)

24

i10Index(all)

43

i10Index(since 2020)

38

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Shehroz S. Khan Skills & Research Interests

One-class Classification

Deep Learning

Aging

Rehabilitation

Multimodal Sensors

Top articles of Shehroz S. Khan

Title

Journal

Author(s)

Publication Date

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Charlene Chu

Simon Donato-Woodger

Shehroz S Khan

Tianyu Shi

Kathleen Leslie

...

2024/3/22

Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions

Pratik K Mishra

Alex Mihailidis

Shehroz S Khan

2024/2/28

Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learning

BioMedical Engineering OnLine

Reza Basiri

Karim Manji

Philip M LeLievre

John Toole

Faith Kim

...

2024/1/29

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives

arXiv preprint arXiv:2403.02772

Mark Karlov

Ali Abedi

Shehroz S Khan

2024/3/5

Artificial Intelligence-driven Virtual Rehabilitation for People Living in the Community: a Scoping Review

Ali Abedi

Tracey JF Colella

Maureen Pakosh

Shehroz S Khan

2024/2/3

User Perception of Smart Home Surveillance Among Adults Aged 50 Years and Older: Scoping Review

Jessica Percy Campbell

Jacob Buchan

Charlene H Chu

Andria Bianchi

Jesse Hoey

...

2024/2/9

Revisiting Annotations in Online Student Engagement

Shehroz S Khan

Sadaf Safa

2024/1

VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability

Neural Computing and Applications

Mahboobeh Norouzi

Shehroz S Khan

Ahmed Ashraf

2024/2

Development of an adaptive virtual assistant to support virtual rehabilitation of the upper limb after stroke: A co-design approach

Archives of Physical Medicine and Rehabilitation

Urvashy Gopaul

Shehroz Khan

Ali Abedi

Fateme Pourghasem

Mark Bayley

...

2024/4/1

Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction

Journal of Healthcare Informatics Research

Zakary Georgis-Yap

Milos R Popovic

Shehroz S Khan

2024/2/16

Bag of states: a non-sequential approach to video-based engagement measurement

Multimedia Systems

Ali Abedi

Chinchu Thomas

Dinesh Babu Jayagopi

Shehroz S Khan

2024/2

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks

arXiv preprint arXiv:2403.17175

Ali Abedi

Shehroz S Khan

2024/3/25

Undersampling and cumulative class re-decision methods to improve detection of agitation in people with dementia

Biomedical Engineering Letters

Zhidong Meng

Andrea Iaboni

Bing Ye

Kristine Newman

Alex Mihailidis

...

2024/1

Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review

Ali Nawaz

Shehroz S Khan

Amir Ahmad

2024/1/31

Affect-driven Ordinal Engagement Measurement from Videos

arXiv preprint arXiv:2106.10882

Ali Abedi

Shehroz Khan

2021/6/21

Empirical Thresholding on Spatio-temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit

Shehroz S Khan

Pratik K Mishra

Bing Ye

Kristine Newman

Andrea Iaboni

...

2023/6/6

Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia

Abeer Badawi

Khalid Elgazzar

Bing Ye

Kristine Newman

Alex Mihailidis

...

2023/9/24

Sex Differences in Behavioral and Psychological Symptoms in Institutionalized Patients with Advanced Alzheimer’s Disease

Alzheimer's & Dementia

Samira Choudhury

Sarah Colman

Li Chu

Simon Davies

Peter Derkach

...

2023/12

Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos

BioMedical Engineering OnLine

Pratik K Mishra

Andrea Iaboni

Bing Ye

Kristine Newman

Alex Mihailidis

...

2023/1/21

Age-related bias and artificial intelligence: a scoping review

Charlene H Chu

Simon Donato-Woodger

Shehroz S Khan

Rune Nyrup

Kathleen Leslie

...

2023/8/17

See List of Professors in Shehroz S. Khan University(University of Toronto)

Co-Authors

H-index: 57
Alex Mihailidis

Alex Mihailidis

University of Toronto

H-index: 48
Jesse Hoey

Jesse Hoey

University of Waterloo

H-index: 44
Dana Kulić

Dana Kulić

Monash University

H-index: 33
Amanda Grenier

Amanda Grenier

University of Toronto

H-index: 32
Babak Taati

Babak Taati

University of Toronto

H-index: 30
Michael G Madden

Michael G Madden

National University of Ireland, Galway

academic-engine