Dr Theekshana Dissanayake
Dr Theekshana Dissanayake
Postdoctoral Researcher
Affiliation: BIFOLD
Dr. Theekshana Dissanayake earned his PhD from Queensland University of Technology (QUT), Brisbane, Australia, where he was affiliated with the Signal Processing, Artificial Intelligence, and Vision Technologies (SAIVT) research group led by Professor Sridha Sridharan. His doctoral research focused on deep machine learning for biosignal analysis and resulted in eight Q1 journal publications addressing learning from medical data, including biomedical signals and medical imaging. He actively contributes to the academic community as a reviewer for leading journals in machine learning and biomedical engineering, including the IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Journal, NPJ Digital Health, NPJ Artificial Intelligence, and Computers in Biology and Medicine. During his PhD, Dr. Dissanayake held research affiliations as a Graduate Research Assistant with Monash University, the AIM for Health Lab, and Alfred Health Neuroscience. He has also collaborated with industry partners such as WearOptimo Pvt Ltd and M3DICINE Pvt Ltd, focusing on the design and development of intelligent biomedical sensing systems. Prior to his doctoral studies, he completed his Bachelor’s degree with First-Class Honours in Computer Engineering from the University of Peradeniya, Sri Lanka.
- Google PhD Fellowship in Machine Learning (2021-2022). Awarded to the project proposal named: Domain generalization for biosignal data using generative deep learning models.
- High Achiever Award (February 2021), for outstanding performance in the SAIVT research group for publishing three Q1 journal papers during the first year of the PhD.
- Queensland University of Technology - Postgraduate Scholarship, for conducting PhD research.
- Deep Learning, Machine Learning
- Biomedical Signal Processing
- Medical Image Analysis
- Digital Health
- Medical AI