Do Young Eun

Biography

Dr. Eun's research interests include  distributed optimization for machine learning, network modeling and performance analysis, distributed and randomized algorithms for large social networks and wireless networks, epidemic modeling and analysis, graph analytics and mining techniques with network applications. He has been a member of Technical Program Committee of various conferences including IEEE INFOCOM, ICC, Globecom, ACM MobiHoc, and ACM Sigmetrics. He is serving on the editorial board of IEEE Transactions on Network Science and Engineering, and previously served for IEEE/ACM Transactions on Networking and Computer Communications Journal, and was TPC co-chair of WASA’11. He received Outstanding Paper Award in ICML 2023, the Best Paper Awards in the IEEE ICCCN 2005, IEEE IPCCC 2006, and IEEE NetSciCom 2015, and the National Science Foundation CAREER Award 2006. He supervised and co-authored a paper that received the Best Student Paper Award in ACM MobiCom 2007.

Education

• Ph.D. 2003
  Electrical and Computer Engineering
  Purdue University, West Lafayette
• Master's 1997
  Electrical Engineering
  KAIST, Korea
• Bachelor's 1995
  Electrical Engineering
  KAIST, Korea

Recent Publications

• Convergence of Bi-Virus Epidemic Models With Non-Linear Rates on Networks-A Monotone Dynamical Systems Approach (2023)
• Competing Epidemics on Graphs - Global Convergence and Coexistence (2021)
• Controlling Metastable Infection Patterns in Multilayer Networks via Interlink Design (2021)
• Energy-Aware Stochastic UAV-Assisted Surveillance (2021)
• Maximization of Robustness of Interdependent Networks Under Budget Constraints (2020)
• Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks (2020)
• Non-Markovian Monte Carlo on Directed Graphs (2019)
• Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks (2019)
• Challenging the limits: Sampling online social networks with cost constraints (2017)
• Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures (2017)

Awards & Honors