Bukyoung Jhunمشاهده پروفایل
پژوهشگر ارشد
Bukyoung Jhun is a Research Fellow at the Department of Network and Data Science at Central European University. His research focuses on applying statistical physics to complex systems, including network epidemiology, latent geometry of networks, and phase transitions. He holds a PhD in Physics from Seoul National University, where he also earned his BSc and MSc in Physics. Education: BSc in Physics, Seoul National University MSc in Physics, Seoul National University PhD in Physics, Seoul National University (2023) Research Interests: His work bridges statistical mechanics and network science, addressing challenges in complex systems such as epidemic dynamics, network control via graph neural networks, and the latent geometric structures underlying real-world networks. He investigates critical phenomena in open quantum systems and infrastructure resilience against cascading failures. Key Contributions: Recent work explores reinforcement learning applications for decentralized power grid optimization, mean-field theory for dissipative systems, and hypergraph models for epidemic containment strategies. His publications highlight interdisciplinary approaches to understanding phase transitions and network-based interventions. Lab/Affiliations: Active within CEU’s Department of Network and Data Science, his research aligns with the university’s focus on computational and theoretical analyses of complex systems.
