David Clausi, University of Waterloo

Research

deep learning remote sensing image classification sea ice synthetic aperture radar computer vision satellite imagery object detection

Latest papers

A novel approach to automated cell counting for studying human corneal epithelial cells.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2011
Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis.
Annals of biomedical engineering · 2009 · senior author
Detection of mitoses in embryonic epithelia using motion field analysis.
Computer methods in biomechanics and biomedical engineering · 2009 · senior author

All 5 publications

Latest funding

Advanced Machine Learning for Remote Sensing Scene Interpretation
NSERC · 2024 · Principal investigator
$69,000
Automated full-game ice hockey analytics
NSERC · 2022 · Principal investigator
$180,000
External visual observers for understanding manufacturing operations & predicting faults
NSERC · 2022 · Co-investigator
$50,000

All 24 grants and awards

5 publications.

01

A novel approach to automated cell counting for studying human corneal epithelial cells.

Bandekar N, Wong A, Clausi D, Gorbet M

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2011

DOI: 10.1109/iembs.2011.6091482 PMID: 22255706

02

Detecting mitoses in time-lapse images of embryonic epithelia using intensity analysis.

Siva P, Brodland GW, Clausi D

Annals of biomedical engineering2009Senior author

DOI: 10.1007/s10439-009-9790-2 PMID: 19757061

03

Detection of mitoses in embryonic epithelia using motion field analysis.

Siva P, Wayne Brodland G, Clausi D

Computer methods in biomechanics and biomedical engineering2009Senior author

DOI: 10.1080/10255840903081222 PMID: 19051076

04

Improved interactive medical image segmentation using Enhanced Intelligent Scissors (EIS).

Mishra A, Wong A, Zhang W, Clausi D, Fieguth P

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2008

DOI: 10.1109/iembs.2008.4649855 PMID: 19163358

05

Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets.

Wong A, Mishra A, Fieguth P, Clausi D, Dunk NM, Callaghan JP

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2008

DOI: 10.1109/iembs.2008.4649290 PMID: 19162793

Advanced Machine Learning for Remote Sensing Scene Interpretation

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Clausi, David

Keywords: remote sensing; image classification; sea ice; synthetic aperture radar; computer vision; satellite imagery; object detection; hyperspectral imaging; deep learning; scene segmentation

$69,000

Automated full-game ice hockey analytics

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Clausi, David DA

Keywords: action recognition; deep learning; event detection; ice hockey; machine learning; pose estimation; predictive models; sports analytics; tracking; video analytics

$180,000

External visual observers for understanding manufacturing operations & predicting faults

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Zelek, John S

Keywords: action recognition; anomalies; artificial intelligence; computer vision; manufacturing; motion understanding; object recognition; quality control; time series; video processing

$50,000

Automated detection of whales in aerial imagery

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Clausi, David DA

$180,000

Unsupervised Machine Learning for Visual Relation Detection

Co-investigatorNSERC2019Alliance Grants

Principal investigators: Fieguth, Paul PW

Keywords: Computer vision; Deep learning; Machine learning; Object segmentation; Video analysis; Visual relations

$303,338

Intelligent AI-based Computer Vision for Robust Manufacturing Quality Assurance

Co-investigatorNSERC2019Collaborative Research and Development Grants

Principal investigators: Zelek, John

$100,000

Advanced Calibration for Multiple Projector Systems_x000d_ _x000d_

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Fieguth, Paul

$160,000

Intelligent Analytics for Satellite Hyperspectral Imaging (View)

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: Clausi, David

$25,000

Advanced Intelligent Computer Vision for Remote Sensing Scene Interpretation

Principal investigatorNSERC2017DND/NSERC Discovery Grant Supplement

Principal investigators: Clausi, David

$120,000

Advanced Intelligent Computer Vision for Remote Sensing Scene Interpretation

Principal investigatorNSERC2017Discovery Grants Program - Accelerator Supplements

Principal investigators: Clausi, David

$120,000

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

Systems Design Engineering
Systems Design Engineering - University of Waterloo

Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Alexander Wong

Systems Design Engineering - University of Waterloo

3 shared papers, latest 2011

Paul Fieguth

Systems Design Engineering

2 shared papers, latest 2008

Maud Gorbet

Systems Design Engineering

1 shared papers, latest 2011

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2024

Subject: Prospective PhD student: deep learning Dear Professor Clausi, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "A novel approach to automated cell counting for studying human corneal epithelial cells." (2011), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Advanced Machine Learning for Remote Sensing Scene Interpretation" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]