Sridhar Krishnan

Sridhar Krishnan is a Professor and Associate Dean (Research, Development and External Partnerships) in the Faculty of Engineering and Architectural Science at Ryerson University, holding the Canada Research Chair in Biomedical Signal Analysis. He serves as Co-Director of the Institute for Biomedical Engineering, Science and Technology (iBEST) and Affiliate Scientist at St. Michael's Hospital's Keenan Research Centre.

He earned his B.E. in Electronics and Communication Engineering from Anna University (1993), and M.Sc./Ph.D. in Electrical and Computer Engineering from the University of Calgary (1996/1999).

His research specializes in adaptive signal processing with applications across biomedicine, multimedia security, and biometrics. Key focus areas include gait analysis for neurological disorders, cardiac signal interpretation, assistive technologies, and secure biometric authentication systems. His work bridges engineering principles with clinical and security applications through innovative algorithm development.

Publication analysis reveals consistent contributions to biomedical signal processing, particularly in movement disorders and cardiac diagnostics, while extending methodologies to multimedia security and behavioral biometrics. This interdisciplinary approach demonstrates strong translational impact from theoretical signal analysis to real-world healthcare and security solutions.

Major recognitions include:

• Fellow of the Canadian Academy of Engineering (2014)
• IEEE Exemplary Service Award (2014)
• Innovate Calgary Achievement Award (2013)
• Sarwan Sahota Distinguished Scholar Award (2011)
• Engineers Canada Young Engineer Achievement (2007)
• Multiple best paper awards and chapter leadership honors

He has mentored 10 postdocs, 10 PhD, and 39 Master's students while securing significant research funding. His 310+ publications, 12 invention disclosures, and US patent reflect substantial scholarly output. He actively serves on advisory boards for research institutes and innovation centers, driving translational research initiatives.

Leading the Signal Analysis Research Laboratory, he directs teams developing assistive technologies and affective computing systems through collaborations with hospitals and industry partners, focusing on practical implementations of signal processing breakthroughs.