I'm a first-year PhD student in Computer Science at Georgia Tech. My research interests are in data mining, machine learning, and visual analytics. I'm interested in designing new algorithms and systems that combine data mining and visual analytics for solving real-world problems that deal with big data. I currently work with Dr. Haesun Park and Dr. Alex Endert.

I have a MS in Computer Science with machine learning specialization from Georgia Tech. I also have a BS in Mathematics from Seoul National University.

Education

  • Georgia Institute of Technology, Atlanta, GA, USA
    Ph.D student in Computer Science --- August 2015 ~
    M.S. in Computer Science (Machine Learning, GPA 4/4.0) --- August 2013 ~ May 2015
    Advisor: Haesun Park
  • Seoul National University, Seoul, Republic of Korea
    M.S. in Business Administration (Accounting) --- March 2011 ~ August 2013
    B.S. in Mathematics (Minor in Business Administration) --- March 2006 ~ February 2011

Publications

  • InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
    Hannah Kim, Jaegul Choo, Haesun Park, and Alex Endert
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2015.
    [pdf][slide][video][demo]
  • Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization
    Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, and Haesun Park
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015
    [pdf][slide]
  • Doubly-Supervised Embedding Based on Label Information and Intrinsic Clusters for Visualization
    Hannah Kim, Jaegul Choo, Chandan K. Reddy, and Haesun Park
    Neurocomputing, Volume 150, Part B, Number 12, pages 570-582, 2015
    [pdf]
  • PIVE: Per-Iteration Visualization Environment for Supporting Real-time Interactions with Computational Methods
    Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Barry L. Drake, and Haesun Park
    IEEE Conference on Visual Analytics Science and Technology (VAST-Poster), 2014, Best Poster Award.
    [pdf][video]
  • VisIRR: Visual Analytics for Information Retrieval and Recommendation for Large-Scale Document Data
    Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, Barry L. Drake, and Haesun Park
    IEEE Conference on Visual Analytics Science and Technology (VAST-Poster), 2014
    [pdf][video]
  • Exploring Anomalies in GAStech: VAST Mini Challenge 1 and 2
    Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, and John Stasko
    IEEE Conference on Visual Analytics Science and Technology (VAST Challenge), 2014
    [pdf][slide]

Selected Projects

Data Mining

Simultaneous Discovery of Common and Discriminative Topics
via Joint Nonnegative Matrix Factorization

Doubly Supervised Embedding Based on Class Labels and Intrinsic Clusters
for High-Dimensional Data Visualization

Visual Analytics

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

PIVE: Per-Iteration Visualization Environment for Supporting Real-time Interactions with Computational Methods

Contact

Klaus Advanced Computing Building, 1305
266 Ferst Drive
Atlanta, GA 30332

hannahkim [at] gatech.edu
http://tiny.cc/hannahkim