Skip to main content
Image of professor Steven Livingstone

Steven Livingstone
BSc, MSc, PhD

Associate Professor

Computer Science

Faculty of Science

Contact information

Science Building - Room UA4035
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1G 0C5

905.721.8668 ext. 2056

steven.livingstone@ontariotechu.ca
https://affectivedatascience.com


Research topics

  • Data Science
  • Affective Computing
  • Human Computer Interaction
  • Data Analytics
  • Statistical Modelling
  • Machine Learning
  • Emotion
  • Experimental Psychology
  • Music

Areas of expertise

  • Data Science
  • Data Analytics
  • Statistical Modelling
  • Emotion
  • Psychology

Background

My research is in affective data science, where I apply programming, statistics, and machine learning to understand emotion and its related disorders. I focus on developing techniques and technologies that can recognize, predict, and express emotion. Increasingly, my work focuses on data provisioning for machine learning, where I create massive data sets of emotion for use in deep learning applications (e.g., RAVDESS. For more information, please see my research page.

I have published over 70 peer-reviewed articles and presentations, and have been cited over 2400 times. My work has appeared in top-tier journals including the Proceedings of the National Academy of Sciences, Scientific Reports, and PLOS One. I'm the creator the RAVDESS, the de facto dataset used in speech emotion recognition. My work has garnered widespread media attention, with broadcast interviews in The Atlantic and NBC’s Today, features in CBC's Quirks and Quarks, and CIFAR research series, and on the front cover of Informatik Spektrum

I lead the Affective Data Science Lab (ADSL) here at Ontario Tech. We focus on developing techniques and technologies that can recognize, predict, and express emotion. We often work with physiological equipment that generate large amounts of data, including electromyography (EMG), electroencephalography (EEG), and motion capture.

Prospective students – I am currently accepting students at the undergraduate (honours) and graduate levels (MA/PhD). I also am looking for motivated undergraduates to gain experience as research assistants in my lab. Please email with inquiries, and we can discuss your research interests.

Education

  • PhD The University of Queensland 2008
  • MSc The University of Queensland 2003
  • BSc The University of Queensland 2000

Courses taught

  • CSCI 2000U - Scientific Data Analysis
  • CSCI 3230U - Web Application Development
  • CSCI 4210U - Information Visualization
  • CSCI 5730G - Topics in Information Science