About
Richard M. Dansereau is a Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He holds a Ph.D. from the University of Manitoba and is a Professional Engineer (P.Eng.) and Senior Member of IEEE. He currently serves as Associate Dean (Graduate Studies) and Clerk of Senate, reflecting his leadership roles within the university.
His research interests include:
- Multimodal and audio-visual signal processing
- Biomedical and biometric signal processing
- Image and speech signal processing
- Compressive sensing and deep learning for reconstruction
- Fractal and multifractal complexity measures, including Rényi dimensions
- Applications in medical imaging, speech enhancement, and radar systems
Recent publications highlight his lab's focus on advanced deep learning techniques for image reconstruction (e.g., deep equilibrium models for compressive sensing), medical image analysis (e.g., PET reconstruction and cervical cell segmentation), and Riemannian geometry in radar signal processing for drone detection. His work integrates theoretical signal processing with practical applications in healthcare and defense.
Scientific awards associated with his research group include:
- Ontario Graduate Scholarship
- Alexander Graham Bell Canada Graduate Scholarship (CGS D)
- John Ruptash Memorial Fellowship
- NSERC Best Project Award
- 1st prize in poster competition at hSITE 2012
- Finalist for World Congress Award at WSCTS’2006
Dansereau actively supervises graduate students, with a long list of Ph.D. and M.A.Sc. alumni who have worked on topics such as speech separation, ECG analysis, image registration, and radar signal processing. He collaborates with researchers at institutions like the University of Ottawa Heart Institute and Defence Research and Development Canada (DRDC). His lab, the Signal Processing and Machine Learning Lab, continues to publish in top journals and conferences, securing research opportunities for Canadian, American, and British citizens in speech intelligibility research.
Research fields
