Dr Chaitanya Patil
Lecturer
Naval Architecture, Ocean and Marine Engineering
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Publications
- Health assessment framework of marine engines enabled by digital twins
- Tsitsilonis Konstantinos-Marios, Theotokatos Gerasimos, Patil Chaitanya, Coraddu Andrea
- International Journal of Engine Research Vol 24, pp. 3264-3281 (2023)
- https://doi.org/10.1177/14680874221146835
- Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis
- Patil Chaitanya, Theotokatos Gerasimos, Wu Yue, Lyons Terry
- Engineering Applications of Artificial Intelligence Vol 138 (2024)
- https://doi.org/10.1016/j.engappai.2024.109299
- Machine learning-based discrimination of pre- and post-cleaning marine turbocharger recordings using rotational-speed signals
- Ma Xiangrui, Patil Chaitanya, Zhang Xingming, Tadros Mina
- Journal of Marine Science and Engineering Vol 14 (2026)
- https://doi.org/10.3390/jmse14191812
- Energy efficient neuromorphic sensing and computation for underwater object detection
- Hopkins Asa, Patil Chaitanya, Di Caterina Gaetano, Perry Ross
- SPIE Sensors + Imaging 2026 (2026)
- A multi-factor machine learning framework for accurate and efficient sea surface temperature (SST) forecasting in the equatorial ocean
- Patil Chaitanya, Widiaratih Rikha
- 9th UK Marine Technology Postgraduate Conference (2026)
- Performance and energy optimization of small-scale electric vessel : field measurement-based simulation and analysis
- Ma’arif Samsul, Budiyanto Muhammad Arif, Sunaryo , Mahyuddin Muhammad Haris, Patil Chaitanya
- Results in Engineering Vol 30 (2026)
- https://doi.org/10.1016/j.rineng.2026.110463
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Professional Activities
- Digitalisation of Maritime Industry in India
- Speaker
- 22/11/2023
- Application of AI in engineering
- Organiser
- 22/9/2022
- Sustainable Maritime Propulsion: A NAOME–CMT Collaborative Webinar
- Organiser
- 10/7/2026
- Universitat Politecnica de Valencia
- Visiting researcher
- 5/7/2026
- Harbin Engineering University
- Visiting researcher
- 25/10/2025
- SOUTHERN ACADEMY OF MARITIME STUDIES
- Visiting researcher
- 22/9/2025
Projects
- Sir David Anderson Bequest - Visit to CMT lab, Spain
- Patil, Chaitanya (Principal Investigator)
- Dr. Chaitanya Patil (NAOME, University of Strathclyde) is received a Sir David Anderson Bequest Award to support a 10-day research visit to the CMT – Instituto Universitario de Motores Térmicos at the Universitat Politècnica de València, Spain, in March 2026. The visit aims to establish a long-term strategic collaboration focused on maritime decarbonisation and digitalisation, combining NAOME’s expertise in AI-driven digital twins and intelligent marine systems with CMT’s world-class experimental facilities for alternative fuel combustion research. Planned activities include technical workshops, collaborative meetings, data collection from ammonia-fuelled engine test rigs, and development of joint research initiatives. Expected outcomes include a Horizon Europe funding proposal, high-impact publications on AI-based fault diagnosis for ammonia engines, joint PhD supervision, student exchanges, and future collaborative funding applications. The project aligns closely with Strathclyde’s priorities in net-zero shipping, intelligent marine systems, internationalisation, and industry engagement, with a total funding request of £2,400 towards travel, accommodation, subsistence, and networking activities.
- 05-Jan-2026 - 15-Jan-2026
- Neuromorphic Sensor Fusion for Under Water Object Detection
- Patil, Chaitanya (Principal Investigator) Di Caterina, Gaetano (Co-investigator)
- The project aims to develop a protocol of multimodal data collection through neuromorphic sensors for underwater object detection.
The underwater object detection is very tricky phenomenon due to variability of environmental
changes like wave motion, salinity as well as visibility under water. Various sensors with different
ranges and properties can be deployed to overcome the adverse environmental conditions for object detection. However, increasing number of sensors increases the data processing power, noise and uncertainty in the process rendering the data fusion from these sensors difficult. The proven neuromorphic methods introduce a paradigm shift in handling these sensor uncertainties through sensor fusion and increasing the autonomy of the data management and decision making within the operating envelope of all the sensors used for the object detection task. - 01-Jan-2024 - 01-Jan-2025
- AI powered fault detection for marine engines operating with B30 biodiesel.
- Patil, Chaitanya (Principal Investigator) Budiyanto, Muhammad Arif (Academic)
- The project aims to address challenges in implementing B30 biodiesel engines in
Indonesian maritime transportation due to fuel-related faults, leading to higher
maintenance costs and hindering widespread adoption. It proposes developing a
fault estimation model using machine learning techniques to predict and assess
common biodiesel engine faults, facilitating timely detection and cost-effective
maintenance. The project involves customising thermodynamic models, simulating
healthy and faulty operations, training ML models, and verifying them with real-time
data. Additionally, the project includes organising a workshop on AI in the
Indonesian maritime industry to discuss relevant challenges and solutions. The
project contributes to sustainable development by promoting eco-friendly practices,
reducing operational costs, and fostering economic growth of Indonesia. Key
performance indicators will measure success, including the development of fault
diagnosis models, skill development, dissemination of research outputs, and
awareness creation. The impacts of the project span academic, social, economic,
environmental, and cultural domains, benefiting stakeholders and promoting
research in maritime transportation across Indonesia and south-east Asia. - 01-Jan-2024 - 31-Jan-2025
- Marine Engine Modelling
- Patil, Chaitanya (Principal Investigator) Theotokatos, Gerasimos (Principal Investigator)
- 18-Jan-2024 - 22-Jan-2024
- Incylinder pressure prediction using log-signatures
- Patil, Chaitanya (Principal Investigator) Wu, Yue (Principal Investigator)
- 01-Jan-2022 - 30-Jan-2022
- EPSRC IAA: Neuromorphic Sensor Fusion for Under Water Object Detection (SENSE)
- Patil, Chaitanya (Co-investigator)
- 01-Jan-2022 - 31-Jan-2026
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Contact
Dr
Chaitanya
Patil
Lecturer
Naval Architecture, Ocean and Marine Engineering
Email: chaitanya.patil@strath.ac.uk
Tel: 574 5359