I have a background in the application of artificial intelligence (AI) and numerical simulation in food engineering, focusing on optimizing food processing technologies, quality assessment, and energy efficiency. My expertise includes integrating machine learning, data mining, intelligent sensors, and computational modeling to enhance food safety, authentication, and process automation. By leveraging AI-driven techniques such as hyperspectral imaging, spectroscopy, and real-time monitoring systems, I develop innovative solutions for improving food quality, reducing waste, and increasing sustainability in the food industry. My work bridges the gap between advanced computational methods and practical applications, driving efficiency and innovation in food engineering.