Xiaodong Lin

Professor Lin’s research focuses on machine learning and data mining, where he develops efficient tools for the structural learning of massive data and flexible methods for understanding complex networks. He also works on data privacy and confidentiality, in particular, decision theoretic frameworks for evaluating risk and utility tradeoffs, and provable secure Ring LWE-based key exchange protocols. Professor Lin is an Elected Member of the International Statistical Institute (ISI).

Academic degrees

• Ph.D., Purdue University; Statistics
• M.S., Purdue University; Computer Science
• M.S., Purdue University; Statistics

Main research interests

• Statistical Machine Learning and Data Mining
• Optimization Techniques in Machine Learning
• Privacy Preserving Computing

Teaching

• Time Series Models for Business
• Financial Time Series