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AI Applications in Engineering & Innovation

Prinja and Partners has successfully applied AI across a wide spectrum of technical challenges. Here are some of our key projects, showcasing how we combine data science, domain expertise, and innovation to deliver impactful solutions.

Rock / Mine Classification using Sonar Data

AI-driven model to classify underwater geological formations, aiding submarine navigation and safety.

Predicting Non-Conformance of Electron Beam Welds

Machine learning used to forecast weld quality before physical testing.

Accelerated Ultrasonic Testing of Welds

AI algorithms rapidly interpret ultrasonic data, reducing inspection times.

Environmental Impact on Steel Fatigue

Predictive modeling of how materials behave under different environmental conditions.

M4Ps – Material Properties Predictor

AI system for predicting steel performance in power plant conditions.

NLP for Document Translation

Natural Language Processing for quick and accurate translation of technical documents.

AI-Powered Cognitive Search

Using tools like Goldfire to extract relevant knowledge from massive document repositories.

Root Cause of TIG Welding Failures

AI models to trace the source of recurring weld issues.

Human Action Recognition

Machine learning applied to monitor and categorize human behavior for safety analysis.

Sentiment Analysis of Surveys

Text analysis tools to understand and evaluate team or client feedback.

PROMAP – Probabilistic AI for Material Properties

Advanced probabilistic modeling for predicting material performance under uncertainty.

Our Publications

ESREL 2022

“Probabilistic Artificial Intelligence Prediction of Material Properties for Nuclear Reactor Designs”, Adolphus Lye, Nawal Prinja & Edoardo Patelli, 2022, Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022).

PVP2023

“Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations “, Maria Ortiz De Zuniga, C. Casanova, Nawal Prinja, Ana M. Camacho-Lopez and A. Rodriguez-Prieto. ASME 2023 Pressure Vessels & Piping Conference (PVP2023), Paper PVP2023-105223. July 2023.

OECD NEA Workshop

“AI for Knowledge and Quality Management”, Prinja N., OECD NEA Workshop on Nuclear Supply Chain- Assurance Today, Confidence Tomorrow, 5-6 March 2024, Paris.

Gen IV International

“AI for KMKP”, Prinja N., 56th Policy Group / 50th Expert Group meeting of Gen IV International Forum, Oct 2023, Versailles, France.

NEA

“AI for Knowledge and Quality Management”, The 2024 Workshop on Nuclear Supply Chain : Assurance Today, Confidence Tomorrow, NEA/OECD, Paris, France, 5-6 March 2024.

IMechE

“AI for Engineering Simulation”, Simulation and Modelling Seminar, IMechE, Birmingham, UK, 25- 26 Sept 2024.

NEA

“Rethinking Nuclear Applications Around AI” and “Unlocking AI for Engineering Excellence”, Nawal Prinja, Workshop on Digital Innovation in Nuclear, NEA/ OECD, Ottawa, Canada, 1 Oct 2024.

Gen IV International

“How can AI help overcome uncertainty in Decision Making”, Nawal Prinja, AI4Nuclear event, Nuclear Institute and Generation IV International Forum, House of Lords, London, 18 Oct 2024.

IAEA

“AI for Design, Engineering, Construction and Operation of SMRs”, Nawal Prinja, Paper 272, Int. Conf. on Small Modular Reactors, IAEA, Vienna, Austria, 21-25 Oct 2024.

Delivering Practical AI Solutions for Engineering, Design Optimization &
Informed Decision-Making.
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