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- …
Dr. Laghari received his Bachelor degree in Electronic Engineering from the Mehran University of Engineering & Technology (MUET) in Jamshoro, Pakistan, and the MSc degree from the Grand École Supélec, Paris, France in 2008. He obtained his PhD degree from the University of Pierre et Marie Curie (UPMC) and the Institute- Mines Télécom SudParis France in 2012. During his PhD, he worked on Quality of Experience (QoE) based modeling, analysis and evaluation for multimedia and internet services.
received the Engineer degree in Artificial Intelligence in 2005 and MSc degree in 2007 from Université des Sciences et de la Technologie d’Oran, Algeria. In 2014 he received his PhD degree from the École de technologie supérieure (ÉTS) in Montreal, Canada. During his PhD he worked in collaboration with CRIM on i-vector based speaker characterization. His research interests are in pattern recognition and machine learning to improve speaker recognition performance in practical environments.
Liviu Ivanescu received his BSc degree in physics/optics from the Bucharest University in 1993. Then he worked at SIAT Bucharest, a research institute for automation, until 1995. Afterwards he pursued graduate studies in optical instrumentation and was granted a testing engineer position at ESO, Germany. In 2006, he went to SAAO in South Africa to analyze the quality of the atmosphere at potential sites for building the Caltech-TMT telescope. This was followed by similar studies for the Canadian Arctic.
received his MEng in Electrical and Computer Engineering from the University of Windsor in 2009. He holds undergraduate degrees in both Electrical Engineering and Computer Science. He joined CVR Global Inc. in 2009 where he did preliminary DSP and machine learning development on the Cardiovascular Resonator at University of North Carolina in Chapel Hill. In 2011, he was contracted by Bavaria Medical Technology Inc. to work at the National Research Council – Industrial Materials Institute in …
received his BSc in Computer Science from Federal University of Sao Carlos, Brazil, in 2004. Besides his work with the research group on Multilateration at Federal University of ABC, where he is currently a master student in Information Engineering, Anderson has been also involved with speech technology research for the past two years. In October 2013, he joined the MuSAE Lab as a short-term visiting researcher. His interests include speech signal processing and pattern recognition.
received the BS degree in electronic engineering and the MSc degree in industrial automation from the Universidad Nacional de Colombia, in 2006 and 2009, respectively. He worked as seasonal professor at the Instituto Tecnologico Metropolitano at Medellín, Colombia. Currently he is a PhD student at INRS-EMT, Montréal, Canada. He is interested in machine learning, its interplay with mathematics and statistics and its applications to pattern recognition and digital signal processing.
completed her B.S in Electrical Engineering at Michigan State University (MSU), where she was heavily involved with Audio Enthusiasts and Engineers, a student group that promotes project based learning environments and holds weekly educational forums on all things related to audio. She obtained her Master’s in Electrical Engineering at MSU in Dec. 2011 on nonlinear control systems. She is now pursuing her PhD at École de technologie supérieure (ÉTS) where her work involves speech …
received both her BSc and MSc degrees (Electronic Engineering) from the University of Antioquia (UdeA) in Medellín, Colombia in 2008 and 2011, respectively. Her Master’s research topic was on Quality of Service in Wireless Body Area Networks (WBAN). She’s currently a PhD student in the telecommunications program at INRS-EMT and is co-supervised by Prof. Martin Maier (Optical Zeitgeist Lab, INRS-EMT) and Prof. Falk.
completed his Bachelors degree from the Vellore Institute of Technology (VIT) University, India and his Masters degree from the University of Warwick, U.K in 2011 and 2012 respectively, both in Biomedical Engineering. In 2009, he worked as an intern at Wipro-GE Healthcare, Bangalore, India in the P.Tech Operations department and in 2011, he worked as a trainee at the Groupe de Recherche sur l’Analyse Multimodale de la Fonction Cérébrale (GRAMFC), France, on the development of a portable …
received the BS degree in communications and electronics engineering and, the MSc degree in microelectronics from the Instituto Politecnico Nacional (Mexico) in 2007 and 2012 respectively. In 2007, he was an intern at the Instituto Nacional de Cardiologa (Mexico) and in 2012 at the Hôpital du Sacré-Cœur de Montréal (Canada). He joined INRS-EMT as a PhD student in 2013. His main research interests are in biomedical signal processing with applications in health diagnostics and neurotechnologies.
received his bachelor degree in Electrical Engineering from the Federal University of Santa Catarina (Brazil) in 2011 and joined INRS as a master student in 2012. His main research area is speech signal processing, with an emphasis in hearing aid systems. He is also interested in bio-inspired algorithms applied to signal classification, pattern recognition and other adaptive systems.
completed his BSc in Clinical Engineering in 2009 and his MSc in Biomedical Engineering in 2012 at ‘Sapienza’ University of Rome. In 2005 he was an intern at ‘Santa Lucia’ Hospital in Rome and in 2012 at the Polytechnic Institute of New York University. He joined INRS-EMT as a PhD student in September 2013. His research interests include Brain Computer Interface and Biomedical Signal Processing.
received his Bachelor’s Degree in Biomedical Engineering from Polytechnique Montréal, Canada, in 2013. From 2010 to 2012, he collaborated as an intern and summer student on the IMAGINC multimodal neuroimaging project at the Polystim Neurotechnologies Lab (Polytechnique Montréal) and at CHU Sainte-Justine’s Electrophysiology and Optical Imaging Lab. He joined the MuSAE Lab in the summer of 2013. His current research interests include functional neuroimaging, brain-computer …
Francisco J. Fraga is a Professor at the Engineering, Modelling and Applied Social Sciences Center at the Universidade Federal do ABC in Santo André, São Paulo, Brazil. From Sept. 2012-Sept. 2013, he was a visiting scholar at the MuSAE Lab working on innovative EEG features for automated diagnosis of Alzheimer’s disease and mild cognitive impairments.
Sunny MahajanSunny V. Mahajan graduated from the Electrical Engineering program at the University of Victoria in April 2008. During his degree, Sunny acquired experience designing novel paradigms for EEG experiments and visual and statistical analysis of neurophysiological data. As a graduate research assistant at the MuSAE Lab, Sunny worked on muscle artefact removal from EEG signals. He is currently a BioSignal Analyst at OMsignal in Montreal, QC.
Stefano Cosentinois a PhD student at the Ear Institute (University College London) working on binaural stimulation strategies for cochlear implants (CI). His approach blends engineering and a physiologically-inspired understanding of the processing behind acoustic and electric hearing. His research interests include acoustic signal processing, dereverberation and denoising algorithms. As a visiting PhD student at the MuSAE Lab, Stefano worked on objective quality and intelligibility measurement for CI users.
Jan-Niklas Antonsjoined the Telekom Innovation Laboratories as a research scientist in January 2009 to pursue his PhD. He received his diploma in psychology in 2008 from the Technische Universität Darmstadt, Germany. His research interests are in Quality-of-Experience evaluation and its physiological correlates with emphasis on speech transmissions and human-machine-interaction. As a visiting PhD student at the MuSAE Lab, he worked on EEG-based neural correlates of reverberant speech quality perception.
Sebastian Arndtstudied Computer Science at Technische Universität Berlin and received his degree in 2010. Since 2011, he has been with the Quality and Usability Lab at the Telekom Innovation Laboratories, TU Berlin, Germany. His research interests are in the processing of physiological signals for research in multimedia quality perception. As a visiting PhD student at the MuSAE Lab, Sebastian worked on multimodal (NIRS-EEG) correlates of quality perception for text-to-speech systems.
- Wai-Yip (Geoffrey) Chan, MC2L Queen’s University, Canada
- Tom Chau, PRISM Lab Bloorview Research Institute, University of Toronto, Canada
- Philip Doyle, Voice Production & Perception Lab, University of Western Ontario, Canada
- Francisco Fraga, Universidade Federal do ABC, Brazil
- Peter Kabal, MMSP Lab, McGill University, Canada
- Bastiaan Kleijn, Victoria University of Wellington, New Zealand (formerly at KTH, Sweden)
- Sebastian Möller, Quality and Usability Lab, Deutsche Telekom, Technical University of Berlin, Germany
- Hélio Magalhães de Oliveira, Universidade Federal de Pernambuco, Brazil
- Martin Maier, Zeitgeist Lab, INRS-EMT, Canada
- Douglas O’Shaughnessy, INRS-EMT, Canada
- Vijay Parsa, University of Western Ontario, Canada
- Natalie Philips, Concordia University, Canada
- Cecilio Pimentel, Universidade Federal de Pernambuco, Brazil
- Ervin Sejdic, iMED Lab, University of Pittsburgh, USA
- Hagit Shatkay, University of Delaware, USA (formerly at Queen’s University, Canada)
- Jérémie Voix, CRITIAS, ETS, Canada