"Pressure makes diamonds. Office: B22 Atanasoff Hall Department of Computer Science Iowa State University Ames, IA 50011 Email: yetianc [at] cs [dot] iastate [dot] edu

About Me

I am a 2nd year graduate student at Department of Computer Science, Iowa State University. Currently I am working with Prof. Dimitris Margaritis on graphical models, statistical modeling, Monte Carlo estimation, feature selection, non-parametric statistics, learning from centralized or distributed data, parallel data mining and interdisciplinary applications of these techniques.

Education

• Ph.D. Student in Computer Science, Iowa State University, Aug 2008 ~ current.
• M.S. in Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Aug 2008.
• B.S. in Biological Sciences, Minor Degree in Computer Science, Peking University, July 2003.

Research Interests

• Artificial Intelligence, Intelligent Agents and Multiagent Systems
• Machine Learning and Data Mining
• Semantic Web
• Information Integration and Information Retrieval
• Bioinformatics and Computational Biology

Teaching

• 2009 Fall, Teaching Assistant for Com S 211: A Conceptual Introduction to Computer Science
• 2009 Spring, Teaching Assistant for Com S 311: Design and Analysis of Algorithms
• 2008 Fall, Teaching and Lab Assistant for Com S 252: Linux Operating System Essentials

Projects

• Summer 2009 Graduate Assistant, constructed an on-line Graduate Admission System for the Department of Computer Science.


• Spring 2009, Com S 573 course project, "Learning from Imbalanced, Only Positive and Unlabeled Data", Presentation Slides, Final Report.


• Fall 2009, Com S 572 course project, "Predicting the Cellular Localization Sites of Proteins Using Decision Tree and Neural Network" , Presentation Slides, Final Report.

Publications

Coming soon...

Courses

• Fall 2009


• Com S 561 Principles and Internals of Database Systems
• Com S 586 Computer Network Architectures
• Stat 430 Empirical Methods for Computer Science
• Spring 2009


• Com S 531 Theory of Computation
• Com S 573 Machine Learning
• Fall 2008


• Com S 511 Design and Analysis of Algorithms
• Com S 572 Principles of Artificial Intelligence
• Com S 592x Research Colloquium