Muhammad Sarraj

Title: Innovations by Muhammad Sarraj in Corrosion Detection

Introduction

Muhammad Sarraj is an innovative inventor based in Thuwal, Saudi Arabia. He has made significant contributions to the field of corrosion detection through his patented technology. His work focuses on utilizing advanced machine learning techniques to enhance the identification of corrosion under insulation (CUI) in various structures.

Latest Patents

Sarraj holds a patent for a method titled "Thermography image processing with neural networks to identify corrosion under insulation (CUI)." This method involves receiving thermographs from a structure using an infrared camera. It applies filters to the thermograph with a first machine learning system, which initially determines a CUI classification based on the filtered output. The initial classification is then validated through an inspection of the structure. The first machine learning system is trained using the results of this validation. Outputs from the first system, along with additional structural and environmental data, are fed into a second machine learning system. This second system incorporates information from earlier states into current states and is trained to identify CUI based on changes in outputs and additional data over time until a second threshold for classification accuracy is achieved. Ultimately, CUI is identified using both machine learning systems in coordination.

Career Highlights

Sarraj is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in machine learning and thermography. His innovative approach to corrosion detection has the potential to significantly improve maintenance practices in various industries.

Collaborations

Some of his notable coworkers include Ayman Amer and Ali Al Shehri, who contribute to the collaborative environment that fosters innovation within their team.

Conclusion

Muhammad Sarraj's work in thermography and machine learning represents a significant advancement in the detection of corrosion under insulation. His patented method not only enhances accuracy but also demonstrates the potential of integrating technology with traditional inspection methods.