معرفی
Eranga Ukwatta is an Assistant Professor at Carleton University's Department of Systems and Computer Engineering within the Faculty of Engineering and Design. He joined Carleton in 2016 after postdoctoral fellowships at Johns Hopkins University and Sunnybrook Research Institute. His research focuses on medical image analysis, with specialties in cardiac imaging, histopathology analysis, and machine learning applications. He leads the Medical Image Analysis Lab and advises multiple PhD, master’s, and undergraduate researchers.
Education:
- PhD in Biomedical Engineering, Western University (2013)
- MESc in Electrical and Computer Engineering, Western University (2009)
- BSc in Electronic and Telecommunications Engineering, University of Moratuwa (2005)
Research Interests: Medical Image Analysis, Image Segmentation, Myocardial Tissue Characterization, Machine Learning, Digital Histopathology, Computational Cardiac Modeling.
Key Contributions:
- Developed algorithms for 3D myocardial scar segmentation in cardiac MRI.
- Advanced methods for neonatal cerebral ventricle segmentation in ultrasound.
- Explored AI-driven solutions for histopathology analysis (e.g., Hirschsprung’s disease).
Grants & Awards:
- NSERC Faculty Research Award (2018/19)
- OCE VIP + NSERC Engage Grant (2017)
- Ontario Trillium Scholarship ($160k, 2017)
- Multiple industry collaborations (e.g., Ericsson Canada).
Lab & Team: Supervises a dynamic team of graduate and undergraduate students working on projects like deep learning for medical imaging, placental pathology analysis, and cardiac electrophysiology modeling.
