Do Young Eun

Do Young Eun is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NC State), with affiliations in Computer Science and Operations Research. He holds a Ph.D. from Purdue University and M.S./B.S. degrees from KAIST, Korea. His research focuses on distributed optimization for machine learning, network modeling, and algorithms for social/wireless networks, with applications in epidemic analysis and graph analytics.

Education:

• Ph.D. in Electrical and Computer Engineering, Purdue University (2003)
• M.S. in Electrical Engineering, KAIST (1997)
• B.S. in Electrical Engineering, KAIST (1995)

Research Interests:

• Distributed optimization and machine learning
• Network modeling and performance analysis
• Epidemic modeling and control
• Graph analytics and social network analysis
• Stochastic processes and algorithms

Highlighted Awards:

• NSF CAREER Award (2006)
• Outstanding Paper Award, ICML 2023
• Best Paper Awards at IEEE ICCCN (2005), IPCCC (2006), NetSciCom (2015)
• Best Student Paper Award, ACM MobiCom 2007

Advising & Grants:

• Current advisees include Jie Hu, Yi-Ting Ma, and Feiya Xiang
• NSF Grant (2024–2027): 'Toward Maximally Efficient Sampling and Optimization for Decentralized Learning'
• Supervised over 10 Ph.D. students, many in academic or industry leadership roles

Labs/Teams: His research group focuses on interdisciplinary projects at the intersection of networking, machine learning, and stochastic systems, with collaborations in academia and industry.