18 Hoang Quoc Viet, Hanoi, 10000 Vietnam

Phone: +84-4-756-0537 Fax: +84-4-756-4217 E-mail: dungduc@gmail.com

DucDung Nguyen

Education	1989 - 1994                   Hanoi University of Pedagogy    Hanoi, Vietnam B.S. in Mathematics 2001 - 2003                   Japan Advanced Institute of Science and                                                  Technology (JAIST)                   Ishikawa, Japan M.S. in Knowledge Science §         Thesis: Using Prior Knowledge in Rule Induction 2003 - 2006                   JAIST                                       Ishikawa, Japan Ph.D. in Knowledge Science §         Thesis: Studies on Improving the Efficiency of Support Vector Machines
Professional experience	1994 - now                    Institute of Information Technology (IOIT)                                                 Hanoi, Vietnam Researcher §     My main responsibility was to build a system for Vietnamese optical character recognition (OCR). I have developed algorithms for document image pre-processing, character segmentation, character feature extraction and recognition. I have designed and implemented the VnDOCR software, currently being the top OCR software for printed Vietnamese (Vietnam Science and Technology Innovative (VIFOTEC) top prize for IT product in 1999, best specialized IT product award in 2003 by PC World Vietnam) http://www.vndocr.com/
Awards received	Inventive Youth Medal awarded by Ho Chi Minh National Youth Association (1998) Vietnam Academy of Science and Technology R&D Award in Information Technology field (1999)
References	Prof. TuBao Ho, JAIST, Japan. Email: bao@jaist.ac.jp Tel & Fax: +81-(0)761-51-1730   Prof. Hiroshi Motoda, Osaka University, Japan Email: motoda@sanken.osaka-u.ac.jp Tel: +81-6-6879-8540; Fax: +81-6-6879-8544   Prof. ChiMai Luong, Institute of Information Technology, Vietnam. Email: lcmai@ioit.ac.vn Tel: +84-4-756-3559; Fax: +84-4-756-4217
Technical skill	Object-oriented Analysis and Design C/C++ Programming Microsoft MFC and SDK
Languages	Vietnamese, native English, fluent Japanese, 3rd level
Selected publications	1.       Nguyen, D.D., Ho, T.B. (2005), A Bottom-up Method for Simplifying Support Vector Solutions, IEEE Transactions on Neural Networks, (in press). 2.       Nguyen, D.D., Ho, T.B. (2005), An Efficient Method for Simplifying Support Vector Machines, The 22nd International Conference on Machine Learning, ICML 2005, Bonn, 7-11 August. 3.       Nguyen, D.D., Ho, T.B. (2005), Speeding-up Model Selection for Support Vector Machines, 18th International Conference of Florida Artificial Intelligence Research Society, FLAIRS 2005, Florida, 16-18 May. 4.       Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q., Nguyen, D.D., Yokoi, H., Takabayashi, K. (2003), Mining Hepatitis Data with Temporal Abstraction, ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-03, Washington DC, 24-27 August, 369-377. 5.       Ho, T.B., Nguyen, D.D. (2003), Chance Discovery and Learning Minority Classes, Journal of New Generation Computing, Ohmsha, Ltd. and Springer-Verlag, Vol. 21, No. 2, 147-160 6.       Kawasaki, S., Saitou, A., Nguyen, D.D., Ho, T.B. (2002). Mining from Medical Data: Case-Studies in Meningitis and Stomach Cancer Domains, KESS 2002, 6th International Conference on Knowledge-based Intelligent Information & Engineering Systems, Crema, 16-18 September, 547-551. 7.       Ho, T.B., Nguyen, D.D., Kawasaki, S., Nguyen, T.D. (2002), Extracting Knowledge from Hepatitis Data with Temporal Abstraction, ICML/PKDD 2002 Discovery Challenge, 6th European Conference on Principles of Data Mining and Knowledge Discovery PKDD 2000, Helsinki, 19-23 August. 8.       Ho, T.B., Nguyen, T.D., Nguyen, D.D. (2002), Visualization Support for a User-Centered KDD Process, ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-02, Edmonton, 23-26 July, 519-524. 9.       Ho, T.B., Nguyen, T.D., Nguyen, D.D., Kawasaki, S. (2001), Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining, International Journal of Artificial Intelligence Tools, World Scientific, Vol. 10, No. 4, 691-713.