Dr. Sri Krishnan
Areas of Academic Interest
Biomedical signal analysis
Non-stationary signal processing
Machine learning and AI
Audio and multimedia signal processing
|1999||University of Calgary||PhD|
|1996||University of Calgary||MSc|
|1993||College of Engineering, Guindy, Anna University||BE|
|BME 772||Biomedical Signal Analysis|
|BME 700, BME 800||Biomedical Engineering Capstone Design|
|EE 8610||Special Topics in Biomedical Engineering II|
Like all electrical engineering undergraduates, Sri Krishnan was in search of a topic for his fourth-year capstone project. That’s when he got the call that would set the trajectory of his career. His uncle had suffered a heart attack. Krishnan went to the hospital to find his uncle hooked up to heart monitors plotting ECG signals. The waveforms were familiar to Krishnan. They looked the same as the mathematical waves seen in his engineering textbooks. It triggered an idea: Why not apply those mathematical ideas to understanding heart rhythm?
The capstone then led to graduate focus on biomedicine, with Krishnan developing low-cost, non-invasive screening devices for orthopedic surgeons treating knee injuries. He has since returned to cardiovascular applications, beginning with a Toronto General Hospital collaboration that looked into understanding sudden cardiac death. But don’t call Krishnan a biomedical engineer. He has dedicated his career to breaking down silos within engineering through the interdisciplinary study of electrical, computer and biomedical fields. “In an ideal world, engineers would have real interdisciplinary knowledge,” says Krishnan. “That is how students will make an impact going forward.”
“There is a tangible contribution that engineers can make to improve life for people. The applications are immense.”
- Fellow, Canadian Academy of Engineering
- Outstanding Canadian Biomedical Engineer Award
- Canada Research Chair in Biomedical Signal Analysis
- Sarwan Sahota Distinguished Scholar Award
- D. Gurve, S. Krishnan, Separation of Fetal-ECG from Single Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. IEEE Journal of Biomedical and Health Informatics, 2019. Early Access: DOI 10.1109/JBHI.2019.2920356
- M. Kaleem, D. Gurve, A. Guergachi, S. Krishnan, “Patient-Specific Seizure Detection in Long-Term EEG Using Signal-Derived Empirical Mode Decomposition (EMD)-based Dictionary Approach, “ Journal of Neural Engineering, 15(5), July 2018
- W. Yang, S. Krishnan, “Combining Temporal Features by Local Binary Pattern for Acoustic Scene Classification,” IEEE/ACM Trans on Audio, Speech and Language Processing, 25(6), pp. 1315-1321, 2017.
- J.K. Pant, S. Krishnan “Compressive Sensing of Foot Gait Signals and its Application for the Estimation of Clinically Relevant Time Series,” IEEE Transactions on Biomedical Engineering, 63(7), pp. 1401-1415, August 2016.
- E. Baratin, L. Sugavaneswaran, K. Umapathy, C. Ioana, S. Krishnan, “Wavelet-Based Characterization of Gait Signal for Neurological Abnormalities,” Gait and Posture, 41(2), pp. 634-639, February 2015.
- Co-Director, Institute for Biomedical Engineering, Science, and Technology (iBEST)
- Editor, Mathematical Techniques in Biomedical Engineering Encyclopedia of Biomedical Engineering (Elsevier)
- Editorial Advisory Board, Biomedical Signal Processing and Control, Elsevier
- Editorial Advisory Board, Biomedical Sensors Section of Sensors Journal, MDPI
- Technical Committee Member of Biomedical Signal Processing, IEEE EMBS
- Keynote/plenary speaker in 40+ international conferences/workshops