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个人简介

北京师范大学数学研究中心教授,博士生导师。 张强教授获复旦大学理学士学位。 他是首批通过李政道教授组织的CUSPEA考试赴美国的研究生之一并获得纽约大学硕士和博士学位。毕业后,他先后工作于纽约大学库朗数学研究所, 纽约州立大学石溪分校和香港城市大学。张强教授曾任香港城市大学商学院经济及金融系教授,理学院物理系教授和数学系教授。张强教授发表了100多篇学术论文。他的研究涵盖多个领域,包括物理、流体力学、科学计算、石油开发与地下水生态学、相对论、量子信息、统计和数学金融。他的研究成果发表于这些领域里的顶级期刊。他的研究工作解决了一些长期被困扰的难题,例如,Yang-Zhang最优波动率估算法。张强教授于2020年加入数学研究中心。

研究领域

In Fluid Dynamics: Instability, Interfacial Mixing, Flow in Porous Media, Turbulence, Computational Fluid Dynamics, Partial Differential Equations, Granular Particles. In Mathematical Finance: Derivative Securities, Portfolio Selection, Risk Management, Transaction Costs, Optimal Consumption, Stochastic Volatility, Option Pricing in Incomplete Markets, Stochastic Control, Statistics.

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Q. Zhang, S. Deng and W. Guo, “Quantitative theory for the growth rate and amplitude of the compressible Richtmyer-Meshkov instability at all density ratios”, Physical Review Letters, 121, 174502 (2018). J. J. Wylie, Q. Zhang, X. X. Sun, “Anormalous Richtmyer-Meshkov fingering in dissipative particle systems”, Physical Review Leters, 97, NO. 104501 (2006). Q. Zhang, “Analytical Solutions of Layzer-type Approach to Unstable Interfacial Fluid Mixing”, Physical Review Letters, 81, pp. 3391-3394 (1998). Q. Zhang and M. J. Graham, “Scaling Laws for Unstable Interfacial Fluid Mixing Driven by Strong Shocks”, Physical Review Letters, vol. 79, pp. 2674-2677 (1997). J. W. Grove, R. Holmes, D. H. Sharp, Y. Yang and Q. Zhang, “Quantitative Theory of Richtmyer-Meshkov Instability”, Physical. Review Lett.ers, 71, pp. 3473-3476 (1993), Q, Zhang and W. Guo, “Universality of finger growth in two-dimensional Rayleigh-Taylor and Richtmyer-Meshkov instabilities with all density ratios”, Journal of Fluid Mechanics, Vol 786, pp 47-61, (2016). Q, Zhang and L. Ge,“Optimal strategies for asset allocation and consumption under stochastic volatility”, Applied Mathematics Letters, Vol 58, June 2016, pp 69-73, doi: 10.1016/j.aml.2016.02.005. Q. Zhang, W. X. Guo and J. J. Wylie, “Intermittency in dilute granular flows”, Europhyics Letters 115, 14003 (2016). S. Ben Hariz, J.J. Wylie and Q. Zhang, “Optimal rate of convergence for nonparametric change-point estimators for nonstationary sequences, Annual of Statistics, 35. pp. 1802- 1826 (2007) W. X. Guo and Q. Zhang “Universitality and scaling laws among fingers at Rayleigh-Taylor and Richtmyer-Meshkoiv unstable interfaces in different dimensions”, Physica D: Nonlinear Phenomena 403 (2020): 132304 Q, Zhang and L. Ge, “Optimal strategies for asset allocation and consumption under stochastic volatility", Appl. Math. Lett., 58, pp 69-73, (2016). Q. Zhang and J. G. Han, “Option Prices in Incomplete Markets" Appl. Math. Lett., 26. pp 975-978 (2013). J. G. Han, M. Gao, Q. Zhang, Y. T. Li, “Option Prices under stochastic volatility”, Appl. Math. Lett., 26 (1), pp 1-4 (2013). ? Q. Zhang and J. G. Han, “Option Prices in Incomplete Markets" Appl. Math. Lett., 26. pp 975-978 (2013). J. Wylie; Q. Zhang and T. K. Siu, “Can expected shortfall and Value-at-Risk be used to statically hedge options?”, Quantittive Finance, 10 (6) 575-583 (2010). M. Yu, Q. Zhang and D. Yang, “Bankruptcy in Long-term Investment”, Quantitative Finance, 8, pp. 777-794 (2008) D. Yang and Q. Zhang, “Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices”, J of Business, 73, pp. 477-491 (2000)

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