Scholar
Martin Bouchard
Google Scholar ID: Lb-zsiIAAAAJ
University of Ottawa
Citations & Impact
Citations
681
H-index
13
i10-index
18
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Listed in the world's top 2% scientists for field-specific career-long standardized citation indicators (2025, 2024, 2023, 2022, 2021, 2020).
Research Experience
- Some previous research projects/topics: Signal processing for optical communication modems, unobtrusive sleep apneas detection and monitoring, classification and machine learning for auditory evoked potentials, signal enhancement for binaural hearing aids (acoustic beamforming, noise reduction, PSD estimation), machine learning for submarine detection from sonar data, signal processing for optical domain spectroscopy, audio surveillance and sound classification, heart pulse detection from video information, characterization of acoustic response of weapons and hearing protection devices, active noise control, active vibration control, speaker verification, analysis of electrical networks frequency fluctuations from audio signals, signal processing for electromagnetic (EM) sensing in geophysics, sparse audio coding, fault detection in mechanical systems (debris detection in oil line), blind source separation for acoustics, DSL crosstalk canceling using common mode signal, acoustic echo canceling, feature enhancement for robust speech recognition, MIMO channel estimation and equalization, partial update adaptive filtering, multichannel equalization of room acoustic response, signature recognition from pen movement information, voice over IP packet loss concealment.
Education
- No specific educational background information provided.
Background
- Research interests: Applications of digital signal processing and machine learning. Some on-going research projects/topics include in-car speech and audio communication systems, acoustic sources direction-of-arrival estimation in binaural hearing aids, detection and classification of health conditions based on infant cries (collaboration with start-up company and local hospital), and radars in automotive systems.
Miscellany
- No other personal information provided.
Co-authors