Chittamuru Samarasimha Reddy

Research Associate & PhD Researcher, MARIS Lab Nanyang Technological University (NTU), Singapore

Samar is a Research Associate at NTU's MARIS Lab, where he is also pursuing a PhD in Maritime Science. His research centres on ship performance intelligence. He uses deep learning, computer vision and physics-based modelling to predict vessel power and fuel consumption, assess hull condition, and guide biofouling-aware maintenance decisions.

Before NTU, he was a Research Associate at the National Research Council Canada under the Government of Canada's Greening Government Fund. There he developed data-driven decision support systems (DSS) for the Canadian Coast Guard fleet across three areas: performance baselining for digital twins, emissions modelling for decarbonisation, and machine learning for operational diagnostics. He holds an MSc in Data Science from Memorial University of Newfoundland.

His broader interest is AI-driven decision support for maritime decarbonisation, operational efficiency and safer navigation. He is particularly interested in combining data-driven models with physical understanding of the vessel, so that AI tools stay reliable on real operational data and are practical for operators to trust and use.