Chaitanya Patil

Dr. Chaitanya Patil is a Lecturer in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, UK, advancing intelligent maritime systems through AI-integrated digital twin development for marine operational resilience.

His educational background includes:

• PhD in Optimization of performance and emission in real driving from Universitat Politecnica de Valencia (2021)
• MSc in Reciprocating engines from Universitat Politecnica de Valencia (2016)
• MSc in Automotive Engineering for Sustainable Mobility from Université Bourgogne Franche-Comté (2015)
• B.Tech in Industrial Engineering from Veermata Jijabai Technological Institute (2012)

Research focuses on three interconnected domains: Sensing and Perception (neuromorphic underwater object detection via sensor fusion), Cognition (AI-driven diagnostics/prognostics for predictive maintenance), and Decision-Making (intelligent control for emission reduction and engine optimization). His work directly supports UN Sustainable Development Goals for sustainable industry and climate action.

Recent publications demonstrate a cohesive trajectory applying machine learning to marine engine health assessment, emphasizing feature extraction techniques and digital twin validation for fault diagnosis in maritime systems.

Funding includes EPSRC, Innovate UK, and SPF grants, with current leadership as Co-investigator on the EPSRC IAA project Neuromorphic Sensor Fusion for Under Water Object Detection (SENSE) (2022-2026) and Principal Investigator on multi-sensor deep sea exploration systems. He actively supervises PhD students in intelligent marine systems research.

With professional experience across UK, Spain, France, China and India, he maintains extensive industry collaborations through conference presentations including Digitalisation of Maritime Industry in India (2023) and Application of AI in Engineering symposia (2022).