1. Personal information:
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Full name:
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Le Hong Hanh
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Year of birth:
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17/10/1990
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Position/Occupation:
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Lecturer
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Academic title:
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Doctor -2018
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Foreign languages:
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English and French
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Email:
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Hanhhongle1990@gmail.com
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Cell phone:
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(84) 932159862
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Office address:
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144 Xuan Thuy, Cau Giay
District, Hanoi, Vietnam
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2. Education:
- 2012: Bachelor in Finance and Banking, Bac
Ha international University
- 2014: Master in finance (Advanced studies
and research in finance) - University of Rennes 1, France
- 2018: Doctor in finance - University of
Rennes 1, France
3. Employment/Experience:
- 2020 - present: Lecturer, Faculty of Finance and Banking, UEB, VNU
- 2016 - 2020: Lecturer, Faculty of Finance and Banking, Ton Duc Thang University
- 2015 - 2017: Visiting Lecturer, Faculty of Finance, University of Rennes 1, France
- 2012 - 2013: Teaching assistant, Faculty of Finance
and Banking, Bac Ha international University
4. Research domain:
- The application of machine learning in
finance: bank bankruptcy, risk in finance, financial distress....
- Fintech in banking
- Measuring the efficiency in performing
and profitability in finance and banking
- Circular Economy
5. Publications:
5.1. Articles, working papers:
- Le,
Hong Hanh, and Jean-Laurent Viviani. "Predicting
bank failure: An improvement by implementing a machine-learning approach to
classical financial ratios." Research in International Business and
Finance 44 (2018): 16-25. (SSCI, ABDC: B)
- Australasian Finance and Banking Conference, (AFBC) Australia
2018: Why does bank fail? - The answer
from Text analysis.
- International Conference in Finance and Economics, (ICFE) Vietnam
2017: A DEA 2 stage to measure the
efficiency of loan loss provision in top US banks.
- Vietnam Economics Annual Meeting, (VEAM) Vietnam 2016: Predicting bank failure: statistical
techniques versus intelligent techniques.
- International Conference of The French Finance Association, (AFFI)
Belgium 2016: Predicting the bankruptcy
of U.S bank via machine learning methods.
- Workshop of PhD. in economics and management in Rennes, France
2015: Can classical ratios predict the
bankruptcy of banks?
5.3. Research projects:
- “Fintech - Does it improve bank’s efficiency and profitability”:
University level,
Main researcher, 2019-2020.
6. Scientific and technical awards:
- Scholarship of University of Rennes
1, France - For excellent research student, 2013-2014
- Supervised successfully group
of research student and obtained high ranking, University level, 2018