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Kyung-min Su

Education

Doctor of Philosophy in Computer Science, The University of Texas at San Antonio

Aug. 2006 – Dec. 2015

Major: Computer Science

Minor: Machine Learning / Data Mining

Thesis: Content-based EEG Data Retrieval and Annotation for Time-locked and Continuous EEG Data

 

Master of Science in Computer Engineering, Chonnam National University, South Korea

Mar. 1999 – Feb. 2002

Thesis: Implementation of Person Detecting System using Learning Model Method by Components

 

Bachelor of Science in Computer Science, Dongguk University at Kyungju, South Korea

Mar. 1992 – Feb. 1999

Thesis: Image Segmentation Method using a Degree of Definition

 

Qualifications

Machine Learning / Data Mining:

Published several papers about multi-channel time series data processing

 

High Performance Computing:

Developed mathematical routines optimized for the GPU architecture

 

Programming:

Skilled in MATLAB, Python, SQL for machine learning and data mining

Skilled in C, C++, GPU (CUDA), parallel programming for high performance computing

 

Experience

Post-doctoral fellow, PI: Dr. Kay A. Robbins

Jan. 2016 – present: The University of Texas at San Antonio

Design the EEG annotation system using the transfer-learning classifiers

 

Research assistant, Advisor: Dr. Kay A. Robbins

Aug. 2010 – Dec. 2015: The University of Texas at San Antonio

Designed the systems for EEG signal processing and EEG database management

 

Research assistant, Advisor: Dr. Clint Whaley

Aug. 2009 – July 2010: The University of Texas at San Antonio

Developed the fast GPU QR factorization with parallel register assignment

 

Research assistant, Advisor: Dr. Ki Hwan Yum

June 2007 – July 2009: The University of Texas at San Antonio

Studied the interconnection network and parallel processing

 

Teaching assistant

Aug. 2006 – May 2007: The University of Texas at San Antonio

Taught the MIPS assembly language

 

Part-time programmer

July 2004 – Sep. 2004: Intermagic Co., Ltd., South Korea

Developed the module to measure the pupil size of the eye

 

Senior programmer

Dec. 2002 – May 2004: SINTEC Co., Ltd., South Korea

Developed the image processing modules for a dome camera

Publications

  • Kyung-min Su, Kay A. Robbins, and W. David Hairston, “Adaptive thresholding and reweighting to improve domain transfer learning for unbalanced data”, under review
  • Kyung Min Su, W. David Hairston, and Kay A. Robbins, “Automated annotation for continuous EEG data”, under review
  • Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, Kyung-Min Su and Kay A. Robbins, “The PREP pipeline: standardized preprocessing for large-scale EEG analysis”, Frontiers in Neuroinformatics, 2015
  • Kyung Min Su and Kay A. Robbins, “Space-Time-Frequency Bag of Words Models for Capturing EEG Variability: A Comprehensive Study”, Technical Report, UTSA, 2015
  • Kyung Min Su and Kay A. Robbins, “Content-based EEG Database Retrieval using a Multiclass SVM Classifier”, GlobalSIP, 2013
  • Jeremy Cockfield, Kyung-Min Su and Kay A. Robbins, “MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB”, Frontiers in Neuroinformatics, 2013
  • Kyung Min Su and Kay A. Robbins, “A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond”, IJCNN, 2013
  • Kyung Min Su and Kay A. Robbins, “Subject specific parameter selection for the EEG classifier using Common Spatial Patterns”, RACS, 2012
  • Kyung Min Su and Ki Hwan Yum, “Simple and Effective Adaptive Routing Algorithms using Multi-Layer Wormhole Networks”, IPCCC, 2008