30 citations · 63 across the 19 of their papers we have counts for
20 papers
A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods
Ali Abedi, Charlene H. Chu, Shehroz S. Khan
Frailty in older adults is associated with increased vulnerability to functional decline, reduced mobility, social isolation, and challenges during the transition from hospital to…
HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2
Consumer-grade smartwatches offer a new option for personalized health monitoring for general consumers, as cardiovascular diseases continue to prevail as the leading cause of glob…
OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments
Ali Abedi, Sadaf Safa, Tracey J. F. Colella +1
Engagement in virtual learning is essential for participant satisfaction, performance, and adherence, particularly in online education and virtual rehabilitation, where interactive…
ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays
Shehroz S. Khan, Petar Przulj, Ahmed Ashraf +1
The global demand for radiologists is increasing rapidly due to a growing reliance on medical imaging services, while the supply of radiologists is not keeping pace. Advances in co…
Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models
Shehroz S. Khan, Ali Abedi, Charlene H. Chu
Interpreting large volumes of high-dimensional, unlabeled data in a manner that is comprehensible to humans remains a significant challenge across various domains. In unsupervised…
Supervised Contrastive Learning for Ordinal Engagement Measurement
Sadaf Safa, Ali Abedi, Shehroz S. Khan
Student engagement plays a crucial role in the successful delivery of educational programs. Automated engagement measurement helps instructors monitor student participation, identi…
Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering
Jessica Tang, Ali Abedi, Tracey J. F. Colella +1
Exercise-based rehabilitation improves quality of life and reduces morbidity, mortality, and rehospitalization, though transportation constraints and staff shortages lead to high d…
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
Ali Abedi, Shehroz S. Khan
Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challen…
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
Mark Karlov, Ali Abedi, Shehroz S. Khan
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilita…
Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment
Ali Abedi, Mobin Malmirian, Shehroz S. Khan
Exercise-based rehabilitation programs have been shown to enhance quality of life and reduce mortality and rehospitalizations. AI-driven virtual rehabilitation programs enable pati…
Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee +4
Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabili…
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi +1
Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize program delivery. Students' behaviora…
Step Counting with Attention-based LSTM
Shehroz S. Khan, Ali Abedi
Physical activity is recognized as an essential component of overall health. One measure of physical activity, the step count, is well known as a predictor of long-term morbidity a…
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder
Ali Abedi, Shehroz S. Khan
Student engagement is an important factor in meeting the goals of virtual learning programs. Automatic measurement of student engagement provides helpful information for instructor…
Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review
Shehroz S. Khan, Ali Abedi, Tracey Colella
Background: Student engagement (SE) in virtual learning can have a major impact on meeting learning objectives and program dropout risks. Developing Artificial Intelligence (AI) mo…
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos
Shehroz S. Khan, Ziting Shen, Haoying Sun +2
Distracted driving is one of the major reasons for vehicle accidents. Therefore, detecting distracted driving behaviors is of paramount importance to reduce the millions of deaths…
Affect-driven Ordinal Engagement Measurement from Video
Ali Abedi, Shehroz Khan
In education and intervention programs, user engagement has been identified as a major factor in successful program completion. Automatic measurement of user engagement provides he…
Disinformation, Stochastic Harm, and Costly Effort: A Principal-Agent Analysis of Regulating Social Media Platforms
Shehroze Khan, James R. Wright
The spread of disinformation on social platforms is harmful to society. This harm may manifest as a gradual degradation of public discourse; but it can also take the form of sudden…
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network
Ali Abedi, Shehroz S. Khan
Automatic detection of students' engagement in online learning settings is a key element to improve the quality of learning and to deliver personalized learning materials to them.…
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
Vineet Mehta, Abhinav Dhall, Sujata Pal +1
Automatic fall detection is a vital technology for ensuring the health and safety of people. Home-based camera systems for fall detection often put people's privacy at risk. Therma…