JURYON PAIK received the B.E. degree in information engineering from Sungkyunkwan University, Korea in 1997. After her graduation, she worked at Samsung SDS company. She then pursued her M.E. and Ph.D. degrees in computer engineering from the same university, obtaining them in 2005 and 2008, respectively. Since 2018, she has been actively serving as an editorial board member for the Korean Society of Computer and Information. In 2016, Dr. Paik joined the faculty of the Department of Digital Information and Statistics at Pyeongtaek University, Pyeongtaek-si, Korea. In the initial stages of her academic journey, Prof. Paik delved deeply into tree mining methodologies and the intricacies of web mining, exploring their potential applications in various domains. As the landscape of data science evolved, she recognized the burgeoning potential of recommendation systems and machine learning. Consequently, she has since dedicated her efforts to harnessing advanced algorithms and techniques in these areas, aiming to address complex challenges in data-driven decision-making and personalized user experiences.

KWANGHO KO is a professor of SungKyunKwan University. He earned his Ph.D. in automotive engineering from the prestigious Seoul National University, South Korea, where he delved deep into advanced automotive technologies and their applications. Following his doctoral studies, he pursued and obtained a Master’s degree in Korean literature from the Korea National Open University. Throughout his academic journey, Prof. Ko has developed a keen interest in leveraging deep learning methodologies for intricate data analysis. His dedication to this field is evident from the 20 scholarly papers he has presented, which have significantly contributed to the advancements in deep learning data analysis. These papers span a range of topics, from foundational techniques to innovative applications, reflecting his comprehensive understanding and expertise in the domain. In addition to his academic contributions, Prof. Ko has been an active innovator, holding 10 patents in automotive engineering. Prof. Ko’s commitment to the academic and professional community is further highlighted by his active memberships in the Korean Society of Automotive Engineering and the Korean Society of Computer Information. Through these societies, he collaborates with fellow experts, shares knowledge, and contributes to setting the direction for future research and innovations in both automotive engineering and computer information.