• United Kingdom

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Intelligent Marine Systems: Perception, Cognition and Decision making

Personal profile

Personal Statement

Dr. Chaitanya Patil is a lecturer and researcher in the Department of Naval Architecture, Ocean and Marine Engineering (NAOME), with a focus on advancing intelligent maritime systems. His work bridges cutting-edge modelling and simulation techniques including Artificial Intelligence (AI) to develop reliable and resilient digital twins of marine operational systems. These digital twins are designed to enhance how marine systems perceive their environment, make decisions, and operate autonomously in an increasingly digital maritime industry.

Dr. Patil’s core expertise lies in the modelling and simulation of marine systems, using both physics-based (first-principles) and data-driven approaches. His research enhances three key areas:

  • Sensing and Perception: Developing neuromorphic sensing and sensor fusion techniques for underwater object detection, improving how marine systems perceive their surroundings.
  • Cognition: Applying AI for diagnostics and prognostics to detect faults and assess the health of marine machinery, enabling predictive maintenance.
  • Decision-Making and Optimisation: Optimising marine engine performance and reducing emissions through intelligent control and data-driven strategies.

He has played leading roles in several funded research projects (EPSRC, Innovate UK, SPF) and has published extensively in top-tier journals on topics such as marine engine diagnostics, digital twins, and AI applications in engineering.

With academic and research experience across the UK, Spain, France, China and India, Dr. Patil brings a strong international and interdisciplinary perspective to his work. He is actively seeking collaborations with researchers and industry partners interested in the future of intelligent, autonomous, and sustainable marine systems.

Education/Academic qualification

Doctor of Philosophy, Optmization of performance and emission in real driving, Universitat Politecnica de Valencia

Award Date: 16 Jul 2021

Master in Science, Reciprocating engines , Universitat Politecnica de Valencia

Award Date: 31 May 2016

Master in Science, Automotive Engineering for Sustainable Mobility, Université Bourgogne Franche-Comté, Dijon

Award Date: 1 Sept 2015

Bachelor of Technology (not to be confused with BTEC), Industrial Engineering, Veermata Jijabai Technological Institute (VJTI)

Award Date: 1 Dec 2012

External positions

Simulation Engineer, Nissan Motors, Barcelona

29 Feb 20201 Jan 2022

Research Assistant, CMT-Motores Térmicos

1 Sept 201631 Dec 2019

Design Engineer, TATA Technologies ltd.

1 Jun 20121 Jul 2013

Keywords

  • Machine learning
  • Data Science
  • Marine Engineering
  • Decarbonisation
  • Digital Twins
  • Marine System Intelligence

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 13 - Climate Action
    SDG 13 Climate Action
  4. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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