Areas of expertise
Wireless Mutimedia Communications
- Full Professor
- Scientific head of the Multimedia/Multimodal Signal Analysis and Enhancement Laboratory (MuSAE Lab)
- Member of the joint implementation committee of the INRS-UQO Joint Research Unit in Cybersecurity
Multimedia communications and signal analysis : Multimedia quality measurement and enhancement, environment-robust speaker identification and speech recognition, speech-based age/gender/emotion classification.
Atypical communications : Pathological speech assessment and enhancement, intelligent algorithms for hearing aid design, brain-computer interfaces, assistive technologies.
Biomedical signal processing and analysis : Bioinformatics, biometrics (voice/face/physiology-based), biosensor fusion.
Multimodal signal analysis and enhancement : human-computer interfaces, audio-visual disordered speech recognition, multimodal biometrics.
Knowledge discovery : Machine learning, pattern recognition.
Dr. Falk received the BSc degree from the Federal University of Pernambuco, Brazil, in 2002, and the MSc and PhD degrees from Queen’s University, Canada, in 2005 and 2008, respectively, all in electrical engineering. In 2007, he was a visiting Research Fellow at the Sound and Image Processing Lab, Royal Institute of Technology (KTH), Sweden, and in 2008 at the Quality and Usability Lab, Deutsche Telekom/TU Berlin, Germany. From 2009-2010 he was an NSERC Postdoctoral Fellow at Holland-Bloorview Kids Rehabilitation Hospital, affiliated with the University of Toronto. Since 2010, he has been an Assistant Professor at the Institut National de la Recherche Scientifique (INRS) in Montreal, Canada. Dr. Falk is also an Adjunct Scientist at Holland-Bloorview and a Research Advisor for InteraXon – Thought Controlled Technologies in Toronto.
- Distributed quality-aware multimedia communications
- Neural correlates of natural and synthesized speech quality perception
- Neurophysiological models for ‘Quality-of-Experience’ prediction
- Quality measurement and enhancement of disordered speech
- Automated diagnosis of Alzheimer’s disease
- Intelligent signal processing for body area networks
- Adaptable brain-machine interfaces