Nisal Ranasinghe

Nisal Ranasinghe is a Researcher in the Department of Mechanical Engineering at the University of Melbourne. His research focuses on Explainable AI, interpretable machine learning algorithms, and their applications in biomedical engineering and neurodegenerative disease analysis. He is supervised by Prof. Saman Halgamuge and Dr. Damith Senanayake, and affiliated with the Robotics research group.

Education: BSc. Engineering (Electronic and Telecommunication Engineering), University of Moratuwa, Sri Lanka (2018).

Research interests include developing interpretable ML models for equation discovery from data, analyzing electrophysiological signals in ALS, and applying AI across healthcare, agriculture, and telecommunications. Recent work emphasizes mathematical and statistical transparency in neural networks.

Publications span interdisciplinary topics like biomedical AI, equation generation via graph models, and FPGA-based video transport systems. His work bridges computational science and practical applications in healthcare and engineering.

No scientific awards listed. Active in collaborative projects involving robotics and interdisciplinary research teams.