Dr. Richard Mann

Associate Professor

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Biography

Richard Mann is an Associate Professor in the Department of Computer Science at the University of Waterloo. His research encompasses various domains including Computational Vision, focusing on high-level vision, motion understanding, and event recognition. He also delves into Computational Hearing, dealing with acoustics, speech, music, and signal processing. Another key area of his expertise is in Perception and Learning within the realm of Artificial Intelligence. Mann has a keen collaborative spirit, working on projects such as the Open-Source Electroacoustic Measurement System, alongside John Vanderkooy, which highlights the practicalities and theory behind electroacoustic measurement. He is engaged in advocating for industrial wind turbine research, providing insights and commentary related to this field. Mann has taught a variety of courses, particularly CS489/698 - Computational Sound, over multiple iterations since 2016. His contributions to academia and research have been recognized through awards, with a notable achievement being the Second-Place Winner for the Inaugural Cheriton Dissertation Award in 2019. With a commitment to teaching and research, Mann continues to influence both students and peers in the field of computer science and its applications. He is also involved in creating educational materials and tutorials for emerging technologies like Raspberry Pi, aiding in the integration of practical skills in academic settings.

Research Interests

Experience

Associate Professor

2007-09-01 — 2026-04-30

University of Waterloo • Waterloo, ON, Canada

Teaching various courses including Computational Sound and Computational Vision.

Courses

Computational Sound Computational Vision Introduction to Artificial Intelligence

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.