Speaker - Victor V. Miagkikh

 Victor V. Miagkikh  Thumbnail


Victor V. Miagkikh received his Engineering Diploma degree in Computer Engineering from Taganrog State University of Radio Engineering, Russia in 1994. He revived his M.S. in Computer Science from Michigan State University in 1998. He is a Ph.D. candidate in Computer Science at Michigan State University, and works on a certificate in data mining at Stanford University as of today. He is a Machine Learning Specialist with Cisco Systems, Inc. (Ironport business unit). His current research is focusing on spam detection and reputation filtering algorithms. Victor also worked in research and development of Procter & Gamble, Inc. and Fair Isaac, Inc. Among his awards: Presidential Scholarship for Study Abroad, and King-Size Red Diploma (the best graduate of the department). His research interest are machine learning, artificial intelligence, spam detection, reinforcement learning, neural networks, genetic algorithms, fuzzy logic, social networks, reputation systems, multi aspect graph theoretic modeling, collaborative filtering, network analysis, econometric and psychometric modeling.

1 Program

Learning in Networks with Victor Miagkikh

01.09.08 | 00:55:49 min | 0 comments