Faculty profile
Mirco Ravanelli
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Concordia University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.
Annals of epidemiology · 2026
A protocol for trustworthy EEG decoding with neural networks.
Neural networks : the official journal of the International Neural Network Society · 2025 · senior author
Generalization limits of Graph Neural Networks in identity effects learning.
Neural networks : the official journal of the International Neural Network Society · 2025 · senior author
Latest funding
- $100,000
Accessible Diagnosis and Staging of Breast Cancer-Related Lymphedema with AI-Powered Point of Care Ultrasound
CIHR · 2026 · Co-investigator
- $100,000
Accessible Diagnosis and Staging of Breast Cancer-Related Lymphedema with AI-Powered Point of Care Ultrasound
CIHR · 2025 · Co-investigator
- $12,500
Building the next generation of intelligent machines with cooperative deep learning.
NSERC · 2022 · Principal investigator
4 publications.
Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.
Zimmer AJ, Ravi V, Espinoza-Lopez P, Kafentzis GP, Ravanelli M, Abbasgholizadeh Rahimi S, Pai M, Ugarte-Gil C, Grandjean Lapierre S
A protocol for trustworthy EEG decoding with neural networks.
Borra D, Magosso E, Ravanelli M
Generalization limits of Graph Neural Networks in identity effects learning.
D'Inverno GA, Brugiapaglia S, Ravanelli M
SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.
Borra D, Paissan F, Ravanelli M
Accessible Diagnosis and Staging of Breast Cancer-Related Lymphedema with AI-Powered Point of Care Ultrasound
Principal investigators: Rivaz, Hassan
Keywords: Breast Cancer; Deep Learning; Explainable Ai; Lymphedema; Machine Learning; Ultrasound Imaging
Accessible Diagnosis and Staging of Breast Cancer-Related Lymphedema with AI-Powered Point of Care Ultrasound
Principal investigators: Rivaz, Hassan
Keywords: Breast Cancer; Deep Learning; Explainable Ai; Lymphedema; Machine Learning; Ultrasound Imaging
Building the next generation of intelligent machines with cooperative deep learning.
Principal investigators: Ravanelli, Mirco
Building the next generation of intelligent machines with cooperative deep learning.
Principal investigators: Ravanelli, Mirco
Keywords: deep learning; cooperative learning; conversational ai; sequence processing; machine learning; neural networks; human-machine interaction; speech processing; dialogue; natural language processing
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Madhukar Pai and Simon Grandjean Lapierre: 5 shared papers
- Madhukar Pai and Samira Abbasgholizadeh Rahimi: 2 shared papers
- Samira Abbasgholizadeh Rahimi and Simon Grandjean Lapierre: 2 shared papers
- Madhukar Pai and Mirco Ravanelli: 1 shared paper
- Samira Abbasgholizadeh Rahimi and Mirco Ravanelli: 1 shared paper
- Simon Grandjean Lapierre and Mirco Ravanelli: 1 shared paper
- Department of Computer Science and Software Engineering/Gina Cody School of Engineering and Computer Science
- Medicine
- Epidemiology, Biostatistics and Occupational Health
- Other
Co-authors at Concordia University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.