Hello, I am Shri 👋
Research Interests
My long-term goal is to improve the way health data is communicated to patients and help providers and hospitals identify bottlenecks and gaps in the healthcare system by developing novel data visualization tools for patients, healthcare providers, and hospitals.
My current research focuses on:
- Identifying barriers that hinder the utilization of cardiac rehabilitation from the perspective of healthcare providers.
- Designing and developing an interactive data visualization system for healthcare providers and patients in cardiac rehabilitation.
I am also interested in other areas, including NLP-enriched data visualizations, generative AI, and visualization education.
Education
Bachelors in Biomedical Engineering
🏫 Shiv Nadar University (2017-2021)
🧑🏫 Supervised by Dr. Pravin Kumar
📑 Research Focused on Visual Evaluation and Quantification Analysis of Vocal Fold Vibratory Patterns
MASc in Biomedical Engineering
🏫 University of Ottawa (2021 – 2023)
🧑🏫 Supervised by Dr. Natalie Baddour and Dr. Edward Lemaire
📑 Research Focused on Automated Implementation of the Edinburgh Visual Gait Score
PhD in Biomedical Engineering
🏫 Carleton University (2023 – ongoing)
🧑🏫 Supervised by Dr. Fateme Rajabiyazdi
📑 Research Focusing on a Data Visualization Tool for Patients and Providers in Cardiac Rehabilitation
News
🗣️ Presented Two papers at GI’24, Halifax, Canada: “A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation” and “TextVista: NLP-Enriched Time-Series Text Data Visualizations” [Read more]
🏆 Received Best Student Paper Award for the paper “A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation” at GI’24 [Read more]
🗣️ Delivered a Talk on “Interactive Data Visualization for Analyzing Virtual Cardiac Rehabilitation Journey of Patients” at CAN-CWiC
👩🎓 Received my MASc from the University of Ottawa
🗣️ Delivered a Talk on “Identifying Challenges and Barriers to Virtual Cardiac Rehabilitation Participation” at Carleton’s IEEE EMBS Society
🏆 Received Best Scientific Poster Award at AACPDM 2023 [Read more]
🗣️ Presented a Poster of “Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video” at AACPDM 2023 [Read more]
🏫 Started my PhD program at Carleton University [Read more]
🗣️ Presented a Paper on “Automated Stride Detection from OpenPose Keypoints Using Handheld Smartphone Video” at IEEE SAS 2023 [Read more]
🎉 Successfully defended MASc thesis at University of Ottawa [Read more]
🏫 Joined as a Research assistant in HealthvisFutures Lab at Carleton University
🗣️ Presented a Poster on “Development and Validation of a Remote Video Acquisition and Analysis Protocol Using Artificial Intelligence for Gait Evaluation” at OHRI Research Day
🏫 Joined as an Intern at Braiyt AI
🏫 Started my MASc program and joined Mobile Motion Lab at the University of Ottawa [Read more]
👩🎓 Received my B.Eng. from Anna University
🎉 Semi-finalists of IICDC 2019, Government of India and Texas Instruments selected in the top 4% from 18,000 entries
Publications
A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation
Proceedings of the 2024 Graphic Interface Conference Stroke is one of the leading causes of disability worldwide. The efficacy of stroke recovery is determined …
TextVista: NLP-Enriched Time-Series Text Data Visualizations
Proceedings of the 2024 Graphics Interface Conference Abstract: There is a vast amount of unstructured text data generated every day analyzing and making sense of these text-based datasets is a …
Automated Stride Detection from OpenPose Keypoints Using Handheld Smartphone Video
Proceedings of the 2023 IEEE Sensors Applications Symposium (SAS Abstract: Gait analysis is important for assessing neurological disorders, but existing methods require human assistance and specialized tools, which can …
Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video
MDPI Sensors 2023 Abstract: Recent advancements in computing and artificial intelligence (AI) make it possible to quantitatively evaluate human movement using digital video, thereby opening the possibility of more …
Parametrization of Optical Flow Kymograms
Proceedings of the 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) Abstract: Laryngeal high-speed video endoscopy is used to visualize the vocal folds pattern of vibration …