Ph.D. Candidate / Research Assistant / Teaching Assistant
Department of Electrical and Computer Engineering
Queen's University

richard.moulton@queensu.ca

My research consists of using discrete-event systems to model decision-making in human motor control.

Up until now I have studied machine learning and data mining techniques for data streams. This included a focus on both data stream clustering and anomaly detection.

My goal is to contribute effective and efficient ways to solve problems, regardless of the setting they are found in.

I am a member of both the Queen's Discrete-Event Systems Lab
and the Laboratory of Integrative Motor Behaviour at Queen's University.