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Md Raihan Subhan is a dedicated research assistant at Kumoh National Institute of Technology in South Korea, where he is currently pursuing his second Master’s degree in IT Convergence Engineering. With a strong foundation in Computer Science and Engineering from IUBAT in Dhaka, Bangladesh, and a Master’s in Applied Statistics and Data Science from Jahangirnagar University, Raihan specializes in Machine Learning, Artificial Intelligence, and anomaly detection. His work in the Network System Laboratory under Professor Taesoo Jun focuses on cutting-edge research in anomaly detection for manufacturing execution systems and blockchain applications in maritime logistics. Raihan's contributions to the field include developing AI-based inventory systems and implementing advanced AI on custom edge devices. He has published several high-impact research papers and presented at prestigious international conferences. Outside his academic pursuits, Raihan is passionate about classical music, playing the violin, and participating in community theater, as well as engaging in extreme sports like cricket and hiking, which have taught him valuable lessons in teamwork and resilience. His diverse experiences and commitment to innovation drive his goal of becoming a leading researcher and academic in AI and machine learning.