Sue Bok Moon

Sue Bok Moon is a Faculty member in the School of Computing at KAIST, where she teaches courses such as Introduction to Computer Networks and Distributed Algorithms and Systems. Her research interests include networking systems and online social networks. She has received several awards, including the 2023 Best Paper Award at ACM SIGCOMM APNet and the 2022 ACM SIGCOMM Internet Measurement Conference Test of Time Award. Moon has also been recognized as a Full Member at the National Academy of Engineering in Korea and has held various leadership roles in academic and professional organizations. She is affiliated with the Advanced Networking Laboratory at KAIST and can be contacted via email at sbmoon@kaist.edu.

Sue Moon is a researcher in the field of online social networks and networking systems. Her work focuses on analyzing the characteristics of large-scale user-generated content systems, such as video platforms and social media networks. She has conducted extensive studies on the temporal dependence in packet loss, network delay measurements, and the security evaluation of IP address anonymization techniques. Moon's research also explores the dynamics of online relationships, including unfollow behavior on platforms like Twitter. Her contributions include the development of GPU-accelerated software routers and methods for improving the performance of IP networks. Her work provides valuable insights into the measurement and modeling of network behavior and social interaction patterns.