This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Saskatchewan directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Explainable deep learning in plant phenotyping.
Frontiers in artificial intelligence · 2023
Developing a dashboard for program evaluation in competency-based training programs: a design-based research project
Canadian Medical Education Journal · 2022
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification.
Frontiers in artificial intelligence · 2022
Latest funding
- $25,000
Quantum Algorithms and Complexity for Computational Geometry Problems
NSERC · 2023 · Principal investigator
- $25,000
Visual Analytics to Generate Actionable Insights from Massive Public Transport Data
NSERC · 2019 · Principal investigator
- $12,500
Algorithms for Visualization and Exploration of Large Networks
NSERC · 2018 · Principal investigator
6 publications.
Explainable deep learning in plant phenotyping.
Mostafa S, Mondal D, Panjvani K, Kochian L, Stavness I
Developing a dashboard for program evaluation in competency-based training programs: a design-based research project
Yilmaz Y, Carey R, Chan TM, Bandi V, Wang S, Woods RA, Mondal D, Thoma B
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification.
Mostafa S, Mondal D, Beck MA, Bidinosti CP, Henry CJ, Stavness I
Developing a dashboard for faculty development in competency-based training programs: a design-based research project
Yilmaz Y, Carey R, Chan TM, Bandi V, Wang S, Woods RA, Mondal D, Thoma B
Developing a dashboard to meet Competence Committee needs: a design-based research project
Thoma B, Bandi V, Carey R, Mondal D, Woods R, Martin L, Chan T
Developing a dashboard to meet the needs of residents in a competency-based training program: A design-based research project
Carey R, Wilson G, Bandi V, Mondal D, Martin LJ, Woods R, Chan T, Thoma B
Quantum Algorithms and Complexity for Computational Geometry Problems
Principal investigators: Mondal, Debajyoti D
Keywords: complexity; computational geometry; data structure; optimization; quantum altgorithms
Visual Analytics to Generate Actionable Insights from Massive Public Transport Data
Principal investigators: Mondal, Debajyoti
Algorithms for Visualization and Exploration of Large Networks
Principal investigators: Mondal, Debajyoti
Algorithms for Visualization and Exploration of Large Networks
Principal investigators: Mondal, Debajyoti
Keywords: Approximation Algorithms; Cartographic Visualization; Computational Geometry; Data Structures; Graph Drawing; Intelligent Systems; Interaction Techniques; Large Networks; Visual Analytics of Networks; Visualization Algorithms
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
- Teresa Chan and Debajyoti Mondal: 4 shared papers
- Ian Stavness and Debajyoti Mondal: 2 shared papers
- Leon Kochian and Ian Stavness: 1 shared paper
- Leon Kochian and Debajyoti Mondal: 1 shared paper
- Computer Science
- Medicine
- Plant Sciences
Co-authors at University of Saskatchewan, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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