Dr. Patrick M. Pilarski is a Canada Research Chair in Machine Intelligence for Rehabilitation at the University of Alberta, and an Associate Professor in the Division of Physical Medicine and Rehabilitation, Department of Medicine. Dr. Pilarski is a principal investigator with the Alberta Machine Intelligence Institute (Amii) and the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). Dr. Pilarski received the B.ASc. in Electrical Engineering from the University of British Columbia in 2004, the Ph.D. in Electrical and Computer Engineering from the University of Alberta in 2009, and completed his postdoctoral training in computing science with Dr. Richard S. Sutton at the University of Alberta. Dr. Pilarski's research interests include reinforcement learning, real-time machine learning, human-machine interaction, rehabilitation technology, and assistive robotics. He leads an interdisciplinary initiative focused on creating intelligent artificial limbs to restore and extend abilities for people with amputations. As part of this research, Dr. Pilarski explores new machine learning techniques for sensorimotor control and prediction, including methods for human-device interaction and communication, long-term control adaptation, and patient-specific device optimization. He has also pioneered techniques for rapid cancer and pathogen screening through work on biomedical pattern recognition, robotic micro-manipulation of medical samples, and hand-held diagnostic devices. Dr. Pilarski is the author or co-author of more than 70 peer-reviewed articles, recipient of multiple best paper awards, and is currently supported by provincial, national, and international research grants.
Adaptive rehabilitation technology, Alleviating motor disabilities, Artificial Intelligence, Assistive robotics, Automated assays, Automation, Autonomous robotics, Biomedical signal processing, consumable meat, Control systems, Data analysis, Data science, Diagnostic technology, E. Coli, Engineering design, Environment modelling, Eye tracking, Food adulterants, Functional outcomes, Lab-on-a-chip, Machine intelligence, Machine learning, Meat screening, Metrics, Microfluidics, Motion Capture, Pathogen detection, pathogen screening, Pathogenic E. Coli detection, Pattern analysis, Prediction learning, Prosthetics, Rehab Technology, rehabilitation, Rehabilitation technology, Reinforcement Learning, Robotic arms, Screening, Sensory feedback, Shared control, Software design, Supplementing motor disabilities, Technology development
Adaptive Rehabilitation Technology
Intelligent Systems and Interfaces
Biomedical Pattern Analysis
Please note that I am not accepting any new students, staff, or trainees for the foreseeable future. Due to the volume of queries, I apologize that I am not able to respond to requests for information about future supervision opportunities.