Directory
Faculty directory
Try AI matchingSearch faculty at Canadian universities by research topic, method or name, then narrow down by university, department and research activity.
Finding and ranking the best matches…
Directory
Finding and ranking the best matches…
Showing 17 of 17 faculty members matching “Computer-Assisted Detection”
The top results are ranked by Jev, which reads each professor's recent papers, grants, research areas and courses.
Industry Professor, Biomedical Engineering
Faculty of Engineering
Most relevant paper: Object detection: from optical correlator to intelligent recognition surveillance system
Professor, Chemical Engineering
Faculty of Engineering
Most relevant paper: Bacteriophage‐Activated DNAzyme Hydrogels Combined with Machine Learning Enable Point‐of‐Use Colorimetric Detection of Escherichia coli
Professor, Engineering Physics
Faculty of Engineering
Most relevant paper: Automated cell profiling in imaging flow cytometry with annotation-efficient learning
Associate Professor, Chemical Engineering
Faculty of Engineering
Most relevant paper: Bacteriophage‐Activated DNAzyme Hydrogels Combined with Machine Learning Enable Point‐of‐Use Colorimetric Detection of Escherichia coli
Associate Professor, Mechanical Engineering
Faculty of Engineering
Most relevant paper: Bacteriophage‐Activated DNAzyme Hydrogels Combined with Machine Learning Enable Point‐of‐Use Colorimetric Detection of Escherichia coli
Professor, Engineering Physics
Faculty of Engineering
Most relevant paper: Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions
Associate Member, Biomedical Engineering
Faculty of Engineering
Professor, Chemical Engineering
Faculty of Engineering
Most relevant paper: A Real‐Time Antifouling Multivalent Aptamer Platform for Wash‐Free Electrochemical Detection of Low‐Abundance Biomarkers in Human Plasma
Associate Professor, School of Engineering Technology
Faculty of Engineering
Most relevant paper: Fast-DG2GAN: A Computationally Efficient DG2GAN Variant for Industrial Injection Molding Splay Defect Generation
Professor, Electrical and Computer Engineering
Faculty of Engineering
Most relevant paper: Artificial neural network-based biosensors for chronic diseases: Advances, challenges, and future directions
Associate Professor, School of Engineering Technology
Faculty of Engineering
Professor, Materials Science and Engineering
Faculty of Engineering
Most relevant paper: Quantitative comparison of laboratory-based diffraction contrast tomography (DCT) and serial-section three-dimensional electron backscatter diffraction (3D-EBSD) for microstructural characterization of pure Fe and a modified E309L stainless steel
Associate Member, Materials Science and Engineering
Faculty of Engineering
Most relevant paper: SARS-CoV-2 detection with aptamer-functionalized gold nanoparticles
Assistant Professor, Computing and Software
Faculty of Engineering
Most relevant paper: Dr.’s Eye: The Design and Evaluation of a Video Conferencing System to Support Doctor Appointments in Home Settings
Assistant Professor, Computing and Software
Faculty of Engineering
Professor, Materials Science and Engineering
Faculty of Engineering
Associate Professor, Chemical Engineering
Faculty of Engineering
Most relevant paper: Predicting membrane cleaning effectiveness in a full-scale water treatment plant using an artificial neural network model