Francois Rivest
Scholar

Francois Rivest

Google Scholar ID: lb1fNb0AAAAJ
Professor, Mathematics and Computer Science, Royal Military College of Canada
Artificial intelligenceMachine learningReinforcement LearningDopamineInterval Timing
Citations & Impact
All-time
Citations
226
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
32
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Develops models based on animal behavioral and neurophysiological data to reproduce the animal's neural learning ability. Currently applying discoveries in animals' interval timing ability to time series prediction (or event prediction) problems and exploring their potential use in reinforcement learning and robotics.
Research Experience
  • Worked at the Computer Research Institute of Montreal and École de Technologies Supérieures, leading to patented technologies. After that, he turned to neuroscience. Joined the Department of Mathematics and Computer Science at RMC in 2010 and is also cross-appointed at Queen's University.
Education
  • He has a Joint Honours degree in Mathematics and Computer Science from McGill University with a Minor in Cognitive Science. Then he completed his M.Sc. in machine learning at McGill University, mentioned on the Dean's Honours List. Dr. Rivest also obtained a Ph.D. in computational neuroscience at Université de Montréal.
Background
  • Research interests include Artificial Intelligence, Machine Learning, Reinforcement Learning, Animal Learning, Interval Timing, Dopamine, and Computational Neuroscience. He is particularly interested in how different systems in the brain collaborate to generate its amazing learning ability.