KEYNOTE SPEAKERS OF ICBEB 2022

Prof. Sri Krishnan
Ryerson University, Canada

Sri Krishnan joined Ryerson University, Toronto, Canada in 1999, and  he is now a Professor of Electrical, Computer Engineering, and Biomedical Engineering. Sri Krishnan's research interests are in biomedical signal analysis, audio signal analysis, and explainable machine learning. He is a Fellow of the Canadian Academy of Engineering. From 2007-2017 he was a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 380 papers in refereed journals and conferences, filed 16 invention disclosures/patent applications, and a scientific advisor to five AI/wearables start-ups. Sri Krishnan is a recipient of the Outstanding Canadian Biomedical Engineer Award, Achievement in Innovation Award from Innovate Calgary, Sarwan Sahota Distinguished Scholar Award,  Young Engineer Achievement Award from Engineers Canada, New Pioneers Award in Science and Technology, and Exemplary Service Award from IEEE Toronto Section.

Speech Title: "Wearables, Signal Analysis and Digital Healthcare"

Abstract: With the advancements in wearable sensor technologies, data analytics, and machine learning, the role of meaningful signal analysis is a key area of investigation. Most of the real-world signals, and especially the signals from wearable sensors possess long-term, non-stationary and non-linear characteristics. Signal representation, information processing and feature extraction from these signals is a challenging task. This talk will focus on six generations of signal processing algorithms developed for the analysis and interpretation of biomedical signals. Recent advances in using sparse signal representation and compressive sensing of long-term signals for Internet of Things (IoT) applications will also be covered. The application of the extraction and classification of features from cardiac signals, bio-acoustical signals, and sleep signals will be discussed in detail.