Zhou Jiani
Title: Lecturer
School of Insurance
Shanghai Lixin University of Accounting and Finance,
No. 995 Shangchuan Rd, Shanghai.
Tel: (86-21) 56881225
Email: 20149013@lixin.edu.cn
AREAS OF INTEREST
Teaching: Non-life Insurance Actuarial Science
Research: Optimal Control
EDUCATION BACKGROUND
Tongji University Shanghai, PRC
PhD, Major in Applied Mathematics, Area of study: Optimal Control 2009-2014.
l Published 3 papers (SCI:1 & EI:2)
l 2nd Prize, 7st National Postgraduate Mathematics Contest on Modeling 2010
l Second Class Scholarship of Tongji University (Top10%) 2013
BSc in Application Mathematics , Financial Mathematics Filed
l Second Class Scholarship of Tongji University (Top 10%) 2008
Shanghai University of Finance & Economics Shanghai, PRC
Minor in Accounting
l Outstanding Scholarship of SHUFE (Top 3%) 2008
HONORS AND GRANTS
l Presided over and completed the project Study on the Optimal Pricing Strategy of Deposit Insurance sponsored by Shanghai Municipal Education Commission.
l Participated in the construction of 2018 National Natural Science Foundation Project Generator is Stochastic Recursive Optimal Control Theory under Lipschitz Condition and Its Related Financial Application. 2018
l Title of “A Good Teacher in My Heart” 2019
l 3rd Prize, 2nd Teaching Competition for Young Teachers 2019
EXPERIENCE
Courses Taught:
1. Non-life insurance actuarial science
2. Porperty Insurance Practice
3. Risk management
4. Risk Theory
5. Insurance application data processing
PUBLICATIONS
1. Solutions to Constrained Optimal Control Problems with Linear Systems. Journal of Optimization Theory and Applications, DOI: 10.1007/s10957-018-1308-3. (SCI) 2018
2. Linear iterative method for singular linear quadratic optimal control [J]. Journal of Tongji University (NATURAL SCIENCE EDITION, 2013, 41 (4)). (EI) 2013
3. Global optimization by canonical dual function. Journal of Computational and Applied Mathematics, DOI: 10.1016/j.cam.2009.12.045. (SCI）2010
4. Solution to an Optimal Problem via Canonical Dual Method. Journal of Control Science and Engineering, DOI 10.1155/2009/2020904. (EI) 2009
