postech wcu

FACULTY

Autonomics

Autonomics
Prof. Seungjin Choi님의 사진입니다.
Prof. Seungjin Choi
E-Mail : seungjin@postech.ac.kr
Position : Professor
Tel. : +82-54-279-2259 Lab: +82-54-279-2924
Laboratory : Machine Learning Lab
Office : Science Bldg. 2 #231



EDUCATION
- Ph.D. in Electrical Engineering, University of Notre Dame, Indiana (1996)
- M.S. in Electrical Engineering, Seoul National University (1989)
- B.S. in Electrical Engineering, Seoul National University (1987)
CAREER
- 2009.3 - present Professor of Computer Science at POSTECH
- 2005.3 - 2009.2 Associate Professor of Computer Science at POSTECH
- 2001.2 - 2005.2 Assistant Professor of Computer Science at POSTECH
- 1997.8 - 2001.2 Assistant Professor of Electrical Engineering at Chungbuk National University, Korea
- Invited Senior Research Fellow at Lab for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan.
- 1997.2 - 1997.8 Frontier Researcher at Lab for Artificial Brain Systems, The Institute of Physics and Chemical Research (RIKEN), Japan
- 1996.8 - 1997.1 Visiting Assistant Professor in the Department of Electrical Engineering at the University of Notre Dame, USA
- 1996.6 - 1996.8 Instructor in the Department of Electrical Engineering at the University of Notre Dame, USA

ACTIVITIES
- 2006.1 - present Associate Editor, Neurocomputing
- 2007.1 - present Associate Editor, Computational Intelligence and Neuroscience
- 2008.11 - present Associate Editor, Journal of Signal Processing Systems
- 2005- present Editorial Board Member, Neural Information Processing - Letters and Reviews
- 2008.1 - present Editorial Board Member, European Journal of Pure and Applied Mathematics
- 2004 - present Advisory Member, IEEE Machine Learning for Signal Processing Technical Committee
- 2006 - present Technical Committee Member, IEEE Data Mining Technical Committee
- 2002 - present Technical Committee Member, IEEE Blind Signal Processing Technical Committee
- 2001 - 2003 Technical Committee Member, IEEE Neural Networks for Signal Processing Technical Committee

RESEARCH INTERESTS
* Machine Learning Methods and Algorithms
- Nonnegative matrix/tensor factorization
- Probabilistic graphical models
- Manifold learning and embedding
- Kernel machines and Gaussian processes
- Spectral clustering and graph partitioning
- Bayesian learning and approximate inference
- Independent component analysis
* Machine Learning Applications
- Learning to rank and personalized search
- Collaborative filtering and recommendation
- Social network analysis
- Intelligent user interface
- Information retrieval
- Brain computer interface
- Computational biology and bioinformatics
- Computer vision and pattern recognition
- Audio, speech, and image processing

SELECTED PUBLICATIONS
- Hyekyoung Lee and Seungjin Choi, "Group nonnegative matrix factorization for EEG classification," in Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics ( AISTATS-2009 ), Clearwater Beach, Florida, April 16-18, 2009.
- Andrzej Cichocki, Yoshikazu Washizawa, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, and Yuanqing Li, "Noninvasive BCIs: Multiway signal-processing array decompositions" IEEE Computer, vol. 41, no. 10, pp. 34-42, October 2008.
- Heeyoul Choi, Seungjin Choi, and Yoonsuck Choe, "Manifold integration with Markov random walks," in Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence ( AAAI-2008 ), Chicago, Illinois, July 13-17, 2008.
- Kye-Hyeon Kim and Seungjin Choi, "Neighbor search with global geometry: A minimax message passing algorithm," in Proceedings of the International Conference on Machine Learning ( ICML-2007 ), Corvallis, Oregon, June 20-24, 2007.
- Seunghak Lee, Iryoung Jeong, and Seungjin Choi, "Dynamically weighted hidden Markov model for spam deobfuscation," in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad, India, January 6-12, 2007.
- Jong-Hoon Ahn, Seungjin Choi, and Jong-Hoon Oh, "A multiplicative up-propagation algorithm," in Proceedings of the International Conference on Machine Learning (ICML-2004), pp. 17-24, Banff, Canada, July 4-8, 2004.