Faculty profile
Pawan Lingras
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Saint Mary's University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Clinical insights: A comprehensive review of language models in medicine.
PLOS digital health · 2025
Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.
JMIR mHealth and uHealth · 2025
PAAD: Panelization algorithm for architectural designs.
PloS one · 2024
Latest funding
- $170,000
Generalized sequential data mining using enhanced object representations based on preliminary clustering profiles
NSERC · 2018 · Principal investigator
- $25,000
Medical Diagnosis using Raman Spectrographs and Machine Learning
NSERC · 2017 · Principal investigator
- $40,000
Adaptive recognition of time series of images for warehouse inventory cataloging
NSERC · 2016 · Principal investigator
4 publications.
Clinical insights: A comprehensive review of language models in medicine.
Neveditsin N, Lingras P, Mago V
Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.
Rao G, Savage DW, Erickson G, Kyryluk N, Lingras P, Mago V
PAAD: Panelization algorithm for architectural designs.
Fisher A, Tan X, Billah M, Lingras P, Huang J, Mago V
AEDNav: indoor navigation for locating automated external defibrillator.
Rao G, Mago V, Lingras P, Savage DW
Generalized sequential data mining using enhanced object representations based on preliminary clustering profiles
Principal investigators: Lingras, Pawan
Keywords: unsupervised learning; supervised learning; association mining; business intelligence; data mining; soft computing; deep learning; customer relationship management; fraud detection; decision making
Medical Diagnosis using Raman Spectrographs and Machine Learning
Principal investigators: Lingras, Pawan
Adaptive recognition of time series of images for warehouse inventory cataloging
Principal investigators: Lingras, Pawan
Updating server inventory database through image recognition
Principal investigators: Lingras, Pawan
Recursive and iterative clustering in granular hierarchical, network, and temporal datasets
Principal investigators: Lingras, Pawan
Combining granular clustering and classifications in knowledge based networks
Principal investigators: Lingras, Pawan
Numeric and set theoretic interval computing for spatial and temporal knowledge extraction
Principal investigators: Lingras, Pawan
Enhancing knowledge representations to improve computer modelling
Principal investigators: Lingras, Pawan
Towards optimal use of available information in temporal analysis and decision making
Principal investigators: Lingras, Pawan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Pawan Lingras and Vijay Mago: 3 shared papers
- Vijay Mago and Pawan Lingras: 1 shared paper
- Pawan Lingras and Jimmy Huang: 1 shared paper
- Pawan Lingras and Xing Tan: 1 shared paper
- Jimmy Huang and Vijay Mago: 1 shared paper
- Jimmy Huang and Xing Tan: 1 shared paper
- Vijay Mago and Xing Tan: 1 shared paper
- Computer Science
- Mathematics and Computing Science
- School of Health Policy and Management
- Information Technology, School of
Co-authors at Saint Mary's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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