Andrew Hamilton-Wright

Headshot of Andrew Hamilton-Wright
Associate Professor
School of Computer Science
Email: 
andrew.hamilton-wright@uoguelph.ca
Phone number: 
(519) 824-4120 ext. 53290
Office: 
REYN 2223
Website links: 
Google Scholar
ORCID iD
Available positions for grads/undergrads/postdoctoral fellows: 
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Association Mining, Decision Confidence, Decision Exploration, Decision Support, Disease Characterization, High-risk Decision Making, Machine Learning, Visualization

Education and Employment Background

Dr. Andrew Hamilton-Wright received his PhD from the University of Waterloo in 2006. He went on to work as a Postdoctoral Research in the School of Rehabilitation Therapy at Queen’s University and then as an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University. He joined the School of Computer Science at the University of Guelph in 2017, where he is now an Associate Professor and a member of the U of G’s Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI).

Research Themes

Hamilton-Wright uses machine learning techniques in decision exploration systems. He is interested in using rule-based association mining techniques to allow visual exploration of risk and certainty in decision making systems. By combining rule-based systems with statistical certainty, models of decision confidence can be created to allow contingent decision planning and exploration. Key research themes include:

  1. Human health. Application areas are varied, but much of Hamilton-Wright’s work has been biophysical: electromyographic (EMG) based muscular disease characterization, EMG and postural fatigue and pain prediction, and EMG and force-based characterization of sleep apnea.
  2. Physiological models. These include an EMG simulator for use in providing gold standard data for validation of EMG based techniques.
  3. Machine Learning. Hamilton Wright is also interested in presenting analysis derived from machine-learning based association mining systems visually, for greater understanding, in the form of robust software tools.

Highlights

  • NSERC Discovery Grant, 2021
  • NSERC Engage Grant, 2018
  • Research Ethics Board, University of Guelph, 2017, 2018
  • Editorial Review Board for Proceedings of the Nova Scotian Institute of Science, 2013-2019
  • Member, OneHealth Institute
  • Member CARE-AI

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