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
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 …