Seungjin Choi's Current Research

My Current Research Interests

• Probabilistic/Statistical Learning

  • Indepdent component analysis (ICA) and principal component analysis (PCA)

  • Kernel machines: Support vector machines (SVM), kernel PCA

  • Bayesian learning and graphical models (including variational Bayes and belief nets)

  • Mixture models

  • Various learning machines and algorithms for pattern recognition (face and character recognition)

• Neural Computation

  • Mathematical theory for neural computation

  • Unsupervised learning

  • Sensory processing and information representation

  • Brain-like computation

  • Brain computer interface

  • Data analysis and visualization

  • Information geometry

• Computational Biology (Bioinformatics)

  • One of my very recent interest

  • Biostatistics and machine learning for bioinformatics

  • DNA microarray data analysis

• Computational Hearing

  • Understanding multiple simultaneous speeches: Cocktail party speech recognition

  • Computational auditory scence analysis (CASA)

  • Natural sound analysis

• Computational Vision

  • Understanding and development of human vision-like system

  • Natural scene analysis

  • Learning manifolds for perception

  • Related with probabilistic learning and neural computation

• Signal/Image Processing

  • Blind signal processing and higher-order statistics (multichannel blind deconvolutio and source separation)

  • Medical imaging (especially, brain imaging such as PET and fMRI)

  • Adaptive algorithms (including natural gradient)

  • Multisensory processing

  • Brain signal processing (especially biomedical signal analysis such as EEG and MEG)

  • Image/Speech de-noising

  • Wireless communication signal processing

Current Projects

• Development and VLSI implementation of ICA methods for efficient source separation

  • Supported by Korea Ministry of Science and Technology

  • Septermber 2000 - August 2003 (3 years)

  • Collaboration with KAIST (Prof. S.-Y. Lee) and RIKEN Brain Science Institute (Profs. S. Amari and A. Cichocki)

• Comparative study of several models for segregation of cocktail party speech, based on spatial localization of speakers

  • Supported by KOSEF

  • September 2001 - August 2003 (2 years)

  • Collaboration with ICP, INPG, France (Drs. F. Berthommier and H. Glotin)

• Methods of efficient feature extraction for EEG analysis

  • Supported by ETRI

  • June 2001 - November 2001 (6 months)

• Development and application of myocardial blood flow quatification method using dynamic PET

  • Supported by KOSEF

  • September 2000 - August 2005 (5 years)

  • Collaboration with Seoul National University, Medical School (Prof. D.S. Lee)

• Development of artifical vision and hearing systems

  • Supported by Korea Ministry of Science and Technology

  • November 1998 - July 2001

  • One of Braintech 21 national project

• Co-work with Brain Science Institute, RIKEN, Japan

  • Supported by Brain Science Institute, RIKEN, Japan

  • Collaboration with Advanced Brain Signal Processing Lab (directed by Prof. A. Cichocki),
    Brain-style Information Systems Research Group (directed by Prof. S. Amari)

  • Source separation methods for biomedical signal analysis

  • Speech segregation

  • Natural gradient learning