I am Nayeem Mia, a researcher in Meat Science Laboratory at Gyeongsang National University, South Korea. My research and academic interests focus on food quality evaluation, meat science, and the development of rapid, non-destructive approaches for food freshness, authenticity, and safety assessment. I am particularly interested in integrating analytical technologies with data-driven methods to improve food quality monitoring and decision-making processes. My research interests include spectroscopy-based techniques, especially NIR spectroscopy, volatile compound analysis, food authenticity evaluation, freshness monitoring, and the application of machine learning in food systems. I am also interested in understanding biochemical and physicochemical changes associated with food quality deterioration and developing reliable analytical tools for quality prediction and classification. In addition, I have a strong interest in interdisciplinary research combining food science, analytical techniques, chemometrics, artificial intelligence, and machine learning to address challenges related to food quality, safety, and sustainable food systems. My academic goal is to contribute to the development of innovative, rapid, and practical technologies for food quality assessment and authentication.