1. Personal information:
Full name:
|
Le Hong Hanh
|
|
Year of birth:
|
17/10/1990
|
Position/Occupation:
|
Lecturer
|
Academic title:
|
Doctor -2018
|
Foreign languages:
|
English and French
|
Email:
|
Hanhhongle1990@gmail.com
|
Cell phone:
|
(84) 932159862
|
Office address:
|
144 Xuan Thuy, Cau Giay
District, Hanoi, Vietnam
|
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