Dr. Karthi Umapathy
Areas of Academic Interest
Biomedical signal and image analysis
Time-frequency analysis
Cardiac electrophysiology
Magnetic resonance imaging
Feature extraction and pattern classification
Medical instrumentation
Health analytics
Education
| Year | University | Degree |
|---|---|---|
| 2006 | The University of Western Ontario | PhD |
| 2003 | The University of Hertfordshire | MPhil |
| 1993 | Bharathiar University | BE |
Spotlight
From a very young age, Karthi Umapathy wanted to know things were made and how they functioned. “I would often disassemble my toys out of curiosity, much to the dismay of my parents,” says Umapathy. “This curiosity and my affinity to create or improvise things organically pushed me towards engineering.”
That insatiable curiosity led him to biomedical engineering, a field that is an integral part of health care. In his collaborative research with major hospitals in Toronto, he uses advanced signal and image processing solutions, magnetic resonance imaging (MRI) methods and computational modelling to arrive at practical solutions to challenging medical problems.
Given Umapathy’s own journey into engineering, it’s not too surprising that as a professor he always tries to instil a deep sense of curiosity into his students. “At the university level, teaching learners to independently seek, understand and apply the knowledge is critical towards their lifelong learning,” says Umapathy. “Open-ended probing with guidance leads them to discover their own passions.”
“Solving real world biomedical engineering problems is a fulfilling experience because it has a direct, positive impact on the health of our society.”
- Affiliate Scientist, iBEST & St. Michael’s Hospital
- Publication in Honors List, Computers in Biology and Medicine
- Faculty Scholarly, Research and Creative Activity (SRC) Award, Toronto Metropolitan University
- Young Investigator Award, American Heart Association
- M. Hotradat, K. Balasundaram, S. Masse, K. Nair, K. Nanthakumar, K. Umapathy, “Empirical Mode Decomposition Based ECG Features in Classifying and Tracking Ventricular Arrhythmias,” Computers in Biology and Medicine, vol 112, pp. 103379, Aug 2019 (Impact factor 2.28)
- K. Balasundaram, S. Masse, T. Farid, K. Nair, J. Asta, R. J. Cusimano, E. Vigmond, K. Nanthakumar, K. Umapathy, “Morphologically constrained signal subspace characterization of electrograms during ventricular fibrillation,” Biomedical Signal Processing and Control. vol 38, pp. 379-387, Sep 2017 (Impact factor 2.94).
- K. Magtibay, M. Beheshti, F. H. Foomany, S. Massé, P. F. Lai, N. Zamiri, J. Asta, K. Nanthakumar, D. Jaffray, S. Krishnan, K. Umapathy. “Feature-based MRI Data Fusion for Cardiac Arrhythmia Studies, “Computers in Biology and Medicine, vol. 1;72, pp. 13-21, May 2016 (Impact factor 2.28).
- K. Balasundaram, K. Umapathy, J. Jeyaratham, A. Niri, S. Masse, T. Farid, K. Nair, J. Asta, R. J. Cusimano, E. Vigmond, K. Nanthakumar, “Tracking Rotors with Minimal Electrodes: Modulation Index-based Strategy,” Circulation: Arrhythmia and Electrophysiology, vol. 8 (2), pp. 447-455, Mar 2015 (Impact factor 5.41).
- M. Marsousi, J. Alirezaie, and K. Umapathy, “A Flexible Approach for Simulating Physiological Signals,” Physiological Measurement (Institute of Physics and Engineering in Medicine - IPEM), vol. 34, pp. 695-712, May 2013. (Impact Factor 2.24).
- Biomedical Signal and Image Processing Lab (BSIPL)
- Senior Member, IEEE, IEEE Engineering in Medicine and Biology and IEEE Signal Processing
- Member, Professional Engineers Ontario
- Reviewer, NSERC Grants
- Reviewer, various BME and SP journals and conferences