School of Computer Sci. and Eng.
Seoul National University
Seoul 151-742, Korea
Office: 302-314-1
Phone: +82-2-880-1835
Fax: +82-2-883-9120
E-mail: jsnam@bi.snu.ac.kr
njinseok@techfak.uni-bielefeld.de
AG WBS
Technische Fakultaet
Universitaet Bielefeld
Universitaetsstrasse 25
33615 Bielefeld, Germany
About me
I am currently a visiting researcher in AG WBS with Ipke Wachsmuth at Bielefeld University. I did my master degree at Seoul National University with B.-T. Zhang. My research focuses on nonparametric Bayesian data analysis, deep learning architecture, and the application of text analysis.
Education
Seoul National University, Seoul, South Korea (Advisor: B.-T. Zhang)
M.S. in Computer Science and Engineering, February 2011
Thesis: Probabilistic Graphical Models for Discovering Mobile Phone User's Life Patterns [PDF][Abtract(EN)]
Chung-Ang University, Seoul, South Korea
B.S. in Computer Science and Engineering, February 2009
Research Experience
- Visiting Researcher, Bielefeld University, Germnay (Spring 2011 ~ Present)
Explored machine learning methods
for classifying human gesture
representations and identifying building blocks in unsupervised
manner. [Abstract][Slides]
- Research Assistant, Seoul National University, South Korea (Spring 2010 ~ Spring 2011)
Discovering meaningful daily
hidden structures in smartphone sensor data using the
Latent Dirichlet
Allocation model. [Slides]
Publications
- Jinseok Nam and B.-T. Zhang, A Method to Discover Mobile
Phone Users Daily
Pattern Using Probabilistic Topic Models, Korea
Computer Congress, 2010 (in
Korean) [PDF]
- Jinseok Nam and B.-T. Zhang, Sentence Generation utilizing
Sequential Cues in a
Random Hypergraph Memory, Korea Computer
Congress, 2010 (in Korean) [PDF]
Probabilistic Graphical Models, Probabilistic Reasoning, Machine Learning, Random Processes, Data Mining, Genetic Algorithm
Computer skills
- Programming Languages: Matlab, Python, C, C++, C#, JAVA, Ajax, Django, SQL
- Software: Subversion, Eclipse, LATEX
- Operating Systems: Linux, Mac OSX, Windows family
Teaching Experience
- Teaching Assistant, Seoul National University, South Korea (Spring 2009)
Programming language course for
graduate students in Bioinformatics department.
The course covers java programming language fundamental, data structures, and algorithms. Responsibilities include teaching, grading, and writing detailed homework solutions
The course covers java programming language fundamental, data structures, and algorithms. Responsibilities include teaching, grading, and writing detailed homework solutions
Language Skills
Korean(mother tongue), English(intermediate), German(beginner)