For Media release (Nov 16, 2015). My research on infra sound and wind turbines. here (PDF).
Announcement (Nov 3, 2015). I am pleased to announce that on Oct 25, 2015, University of Waterloo (Office of Research and School of Computer Science) has approved funding for my research in Infra sound. Research details are provided here (PDF).
Note: Accepting applications for undergraduate research assistants (part time (starting W16) and full/time co-op (starting S16) ). Areas of interest: Embedded computing, Computer Audio, and/or Electronics. Feel free to contact me for details.
- Computational vision (high-level vision, motion understanding, event recognition)
- Computational hearing (acoustics, speech, music, signal processing)
- Perception and Learning
- Artificial Intelligence
- Industrial Wind Turbine Noise (audible and infra sound)
Latest work: J. Vanderkooy and R. Mann. “Measuring Wind Turbine Coherent Infrasound”. Wind Turbine Noise 2015, INCE/EUROPE, Monday 20th April to Thursday 23rd April 2015. Glasgow, Scotland.
News (Wind Turbines):Professor denied access to Health Canada wind turbine data (Wind Concerns Ontario, May 20, 2015)Select Committee on Wind Turbines – Parliament of Australia. Submission #408, May 3, 2015 (PDF).
- In the News: [The Australian] Canadian research boosts Cooper’s case on turbines (University of Waterloo, Monday, March 9, 2015)
- Canadian research boosts Cooper’s case on turbines. (The Australian, February 24, 2015)
Attention all sound geeks, music nerds and math junkies…
In W16 I am piloting a new course in Computer Sound and Audio…
- Course number: CS489/CS689 (“Topics in Computer Science”).
- Prerequisite(s): Scientific Computation (CS370, or equivalent). Matlab experience an asset.
The course will provide a self contained introduction to sound processing by computer. The course will have a strong practical focus. Students will be encouraged to explore various hardware and software platforms for audio.
This is a project based course. Undergraduates will do a term project and complete a final report, in the area of their choice. Graduate students will take on a larger project and write it up as a research paper.
Introductory material will be covered in lectures, demonstrations, and assignments.
The course will begin with a brief introduction to human hearing, acoustics and electronics. We will then cover analog to digital and digital to analog conversion, followed by time and frequency domain analysis of signals (Fourier transform).
Given this foundation a number of practical problems will be studied, including: Sound analysis (time frequency and wavelet representation), sound synthesis (amplitude and frequency modulation) and System identification (measure frequency response of circuits, microphones, speakers).
Optional topics (lecture and/or project material) include: Digital signal processing (z-transform), audio compression (MP3), digital audio hardware and software systems, and acoustics simulation.
Lectures and assignments will be provided in Matlab (or Octave). Students may complete assignments as well as their projects on the hardware/software of their choice.
- CS484/684 – Computational Vision (F11, W13)
- 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)
- CS134 – Principles of Computer Science (S00)