Resume

Sang H. Van
Economic Information System
Academy Of Finance
Telephone: (84) 38387141

http://www.hvtc.edu.vn/sanghv

Research Interests:
Computer science, machine learning, artificial intelligence,
and financial risk management. My research focuses on basic and applied problems in machine learning, understanding how the human brain represents information in terms of neural activity, and statistical learning algorithms for Credit risk and Financial Risk.
Positions Held:
University Lecture, Academy Of Finance, (2004-present)
Department MIS, (2006-present).

Education:

Master

2006:2008: VNU-University Of Engineering and Technology
2000-2004: HaNoi University of Education, Hanoi, Vietnam

1987-2000: Kim lien high school, Hanoi, Vietnam.

1993-1997:Dong Da elementary school, Hanoi, Vietnam.
1988-1993: Kim Lien elementary school, Hanoi, Vietnam.
Professional Activities:

Publications:

International conferences:

IJ1. Van-Sang Ha, Ha-Nam Nguyen, GyooSeok Choi., “A Novel Cancer classification based on Deep Learning and Feature Selection approach”, In the proceedings of the 2nd International Joint
Conference on Convergence, IJCC 2016, The Institute of Internet, Broadcasting and Communication, VietNam., pp. 83-85, 2015. (ISSN: 2288-6060)

IJ2. Van-Sang Ha, Bao-Hien Nguyen Thi, Ngo-Thi-Thu-Trang, GyooSeok Choi., “A Novel Credit Scoring Prediction Model Based on Dynamic Recursive Feature Elimination and Parallel Random Forest”, In the proceedings of the 2nd International Joint Conference on Convergence, IJCC 2016, The Institute of Internet, Broadcasting and Communication, VietNam., pp. 91-94, 2015. (ISSN: 2288-6060)

IJ3. Van-Sang Ha, Ha-Nam Nguyen, Duc-Nhan Nguyen., “A Novel Credit Scoring Prediction Model Based on Feature Selection approach and Parallel Random Forest”, In the proceedings of the 2nd International Conference on Information and Convergence Technology for Smart Society, ICICTS 2016, Society of Convergence and Integrated Research, VietNam., pp. 75-78, 2015. (ISSN: 2383-9279)

IJ4. V.-S. Ha and H.-N. Nguyen, “Credit scoring with a feature selection approach based deep learning,” MATEC Web Conf., vol. 54, p. 05004, Apr. 2016. (ISSN:2261-236X ,Indexed in Scopus)

National conferences:

NC1. Hà Văn Sang, Nguyễn Hà Nam., “AN EFFECTIVE CREDIT SCORING MODEL BASED ON FEATURE SELECTION APPROACHES”, In the Proceedings of the 8th National Conference on Fundamental and Applied Information Technology Research, FAIR’8, VietNam., pp. 27-31, 2015 (ISBN: 978-604-913-397-8)

NC2. Hà Văn Sang et al., “Một phương pháp trích trọn thuộc tính hiệu quả cho dữ liệu có số chiều lớn”, In the Proceedings of The 2015 National Conference on Electronics, Communications and Information Technology, ECIT 2015, VietNam., pp. 82-86, 2015 (ISBN: 978-604-67-0635-9)

International Journals

Comments

comments

Powered by Facebook Comments

Leave a Reply

Contact Us

[shortcode]