Nisal Ranasinghe

Thesis Title

Explainable AI through Interpretable Machine Learning

Research overview

Explainable AI aims to address this issue by developing algorithms that are understandable by humans. In this work, we explore the use of novel interpretable ML algorithms for learning governing equations from observed data and the application of interpretable ML algorithms in gaining an understanding of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease. We are particularly focused on mathematical and statistical interpretation of ML models.

Supervisors

Prof Saman Halgamuge

Dr Damith Senanayake

Qualifications

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