Richard Mann
Associate Professor
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mannr@uwaterloo.ca
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I will be retiring on April 30, 2026.
Assistant Professor: August 1999.
Associate Professor: September 2007 to April 30 2026.
Teaching
CS489/698 – Computatonal Sound (W25)
CS489/698 - Computational Sound (W24)
CS489/698 - Computational Sound (sixth offering, W21)
CS489/698 - Computational Sound (fifth offering, W20)
CS489/698 - Computational Sound (fourth offering, W19)
CS489/698 - Computational Sound (third offering, W18).
CS489/698 - Computational Sound (second offering, W17).
CS489/698 - Computational Sound (first offering, W16).
CS886 - Perception as Bayesian Inference (W10)
CS787 - Computational Vision (W03, F04, W07)
CS486/686 - Introduction to Artificial Intelligence (S02)
CS498Q/698Q - Computational Vision (W00, W01, W06)
CS251 - Digital Design and Architecture (W01, W02, W04, W05, F05, F06, F10, W11, F12)
Graduate Students
Daniel Recoskie PhD 2018. “Learning Sparse Orthogonal Wavelet Filters”
Michael Cormier PhD 2018. Co-supervised with Robin Cohen. “Computer Vision on Web Pages: A Study of Man-Made Images”. (Second-PlaceWinner of 2019 Inaugural Cheriton Dissertation Award; Winner of 2018 Murray Martin Prize (Award for Best Research Paper by a Graduate Student in Faculty of Mathematics at UW))
Heming Wang MMath (Applied Math) 2018. Co-supervised with Edward Vrscay (Applied Math). “A Novel Diffusion-based Empirical Mode Decomposition Algorithm for Signal and Image Analysis”
Daniel Recoskie MMath 2014. “Constrained Nonnegative Matrix Factorization with Applications to Music Transcription”
Michael Cormier MMath 2013. Co-supervised with Daniel Lizotte.
Adam Fourney MMath 2009.
Nicholas Miller MMath 2008.
Alan Caine MMath 2005.
David Tausky MMath 2004.
Alan Angold MMath 2003.
Blake Grant MMath 2002.
Talks/ Presentations/ Videos/ Tutorials
Raspberry Pi videos
Acoustic measurement, Raspberry Pi 4, 64 bit ARM. First demonstrated as guest lecturer in CS251/F22 October 6 2022.
http://www.cs.uwaterloo.ca/~mannr/2022-10-12-RaspberryPi_AcousticMeasurement.mp4
Connecting camera to Raspberry
Pi
4
http://www.cs.uwaterloo.ca/~mannr/2022-12-02-RaspberryPiCamera.mp4
External USB drive for
Raspberry Pi
400
http://www.cs.uwaterloo.ca/~mannr/2022-12-31-RaspberryPiExternalDrive.mp4
CS251 course Introduction.
Reading kernel messages booting Raspberry
Pi.
http://www.cs.uwaterloo.ca/~mannr/2023-01-02-CourseIntro_part1.mp4
Undergraduate Talks
CS Undergraduate Club
Talk
Date: Monday Nov 5, 2018, 5:30pm.
Location: MC4063.
POSTPONED.
I have included the Abstract and Slides below for
interested students.
Abstract (text),
Slides (PDF).
CS
Undergraduate Club Talk
Title: From Microphones to Speakers and
Everything In Between
Date: Tuesday July 17, 2018, 6pm
Location:
MC4041
Slides: (PDF)
Research
Computational vision (high-level vision, motion understanding, event recognition)
Computational hearing (acoustics, speech, music, signal processing)
Perception and Learning
Artificial Intelligence
Computer Audio: Electrical and Acoustic Measurement
Industrial Wind Turbine Noise (audible and infra sound)
IARO (International Acoustics Research Organization)
Open Source Software for
Electrical and Acoustic measurement
Joint work with
John Vanderkooy (Physics), Audio
Research Group.
John Vanderkooy and Richard Mann, An Open-Source Electroacoustic Measurement System Part 1: Theory, Practicalities & Acoustic Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio.net. Paper (PDF) M-files & readme for part1
Richard Mann and John Vanderkooy, An Open-Source Electroacoustic Measurement System Part 2: Sound Card Setup, System Characterization and a few more Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio,net. Paper (PDF) M-files & readme for part 2.
Service, External
Industrial Wind Turbines Research, investigation, commentary, correspondence and advocacy on Industrial Wind Turbines.
Pandemic Investigation and commentary on Pandemic.
