Kevin Kasa
Scholar

Kevin Kasa

Google Scholar ID: VOHDUokAAAAJ
University of Guelph
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
54
 
H-index
4
 
i10-index
2
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • [{'PaperTitle': 'Adapting Prediction Sets to Distribution Shifts Without Labels', 'Authors': 'Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor', 'Conference': 'Uncertainty in Artificial Intelligence (UAI) 2025', 'Year': '2025'}, {'PaperTitle': 'Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data', 'Authors': 'Kevin Kasa, Graham W. Taylor', 'Conference': 'ICML 2023 workshop on Structured Probabilistic Inference & Generative Modeling', 'Year': '2023'}, {'PaperTitle': 'Multi-Modal Deep Learning for Assessing Surgeon Technical Skill', 'Authors': 'Kevin Kasa, David Burns, Mitchell G. Goldenberg, Omar Selim, Cari Whyne, Michael Hardisty', 'Journal': 'MDPI Sensors', 'Year': '2022'}, {'PaperTitle': 'Deep Learning for Vessel Detection and Identification from Spaceborn Optical Imagery', 'Authors': 'Giona Matasci, Jonathan Plante, Kevin Kasa, Payam Mousavi, Andrew Stewart, Andrew Macdonald, Anne Webster, Jennifer Busler', 'Conference': 'ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXIV ISPRS Congress', 'Year': '2021'}, {'PaperTitle': 'A modular system for behaviour analytics from airborne full-motion video', 'Authors': 'Andrew Stewart, Fouad Faraj, Helen You, Jonathan Plante, Michael Lim, Kevin Kasa, Austin Beauchamp, Anne Webster, Leigh Martin-Boyd, Ken Wong, Alexander Braun, Andrew J. Macdonald', 'Conference': 'SPIE Defense + Commercial Sensing', 'Year': '2021'}]
Research Experience
  • [{'Position': 'Member', 'Organization': "Canada's Chief Science Advisor's Youth Council", 'Time': '2023-2025'}, {'Work': 'Applying machine learning to healthcare', 'Organization': 'Orthopaedic Biomechanics Lab at Sunnybrook Research Institute'}, {'Work': 'Working on machine learning for Geointelligence applications', 'Organization': 'MDA', 'Time': 'One year'}, {'Projects': 'Robotics, orbital dynamics, synthetic aperture radar (SAR), and remote sensing'}, {'Companies': 'IBM and Deloitte'}]
Background
  • Research interests include agentic systems, adaptation, and AI safety/security. Previously a Visiting Researcher at ServiceNow Research, working on fundamental research towards improving the safety, security, and performance of LLM agentic systems.
Miscellany
  • Very interested in deep tech entrepreneurship, having previously worked on bringing autonomous high-payload drones to the skies.
Co-authors
0 total
Co-authors: 0 (list not available)