معرفی
Zhang Yiying is an Assistant Professor and Doctoral Supervisor in the Department of Mathematics at the Southern University of Science and Technology (SUSTech). Previously, they served as an Assistant Professor at Nankai University from January 2019 to August 2021. Their academic journey includes a PhD in Actuarial Science from the University of Hong Kong (2018), with academic visits to the University of Leuven (Belgium) and University of Amsterdam (Netherlands) during 2018-2019.
Dr. Zhang's educational background includes:
- Bachelor of Science in Mathematics and Statistics from Lanzhou University (2012)
- Master of Science in Mathematics and Statistics from Lanzhou University (2015)
- PhD in Actuarial Science from the University of Hong Kong (2018)
Dr. Zhang's research spans three main areas with significant contributions to theoretical frameworks and practical applications:
- Risk Management and Actuarial Science: Focusing on optimal reinsurance design, credibility theory for heterogeneous risks, systemic risk assessment using conditional distortion measures, and risk measurement under asymmetric information.
- Applied Probability: Investigating ordered variable models, random order theory, stochastic comparisons, and statistical dependence structures in risk modeling.
- Reliability Theory and Statistics: Developing methodologies for reliability analysis, system reliability design, and optimization of k-out-of-n systems with heterogeneous components and random weights.
Dr. Zhang's publication record demonstrates a consistent research trajectory across actuarial science and reliability engineering domains. Their work frequently appears in top-tier journals including Insurance: Mathematics and Economics, Scandinavian Actuarial Journal, ASTIN Bulletin, and Naval Research Logistics. Recent publications show strong interdisciplinary connections between actuarial science, probability theory, and reliability engineering, with particular emphasis on risk modeling under asymmetric information and optimal system design.
Dr. Zhang has received recognition for their scholarly contributions through publications in leading actuarial journals such as IME, SAJ, ASTIN Bulletin, and NAAJ, as well as operations research journals including EJOR, RESS, and NRL.
As a Doctoral Supervisor, Dr. Zhang mentors PhD students in advanced research topics at the intersection of actuarial science, probability theory, and reliability engineering. Their research program addresses fundamental questions in risk modeling and system reliability, with potential applications in insurance, finance, and engineering systems.
