PROGRAM OVERVIEW

The mathematics discipline of our university obtained the academic doctoral program in July 2021. Cultivate research-oriented and high-level professionals with all-round moral, intellectual and physical development to meet the needs of national and local development. Master solid expertise in mathematics, computer software and theory, and be familiar with the progress, trend and development frontier of big data science.

CORE COURSES

Functional analysis, modern mathematical theory, complex analysis, dynamical system, Riemannian surface, complex dynamical system, etc.

CAREER PROSPECTS

Have independent innovation ability, practical ability and entrepreneurial spirit, and have the ability to engage in scientific research, college teaching or undertake special technical work independently.

ENQUIRY

 Email: zhongxs@szu.edu.cn

英文名

Jingsong He

联系邮箱

hejingsong@szu.edu.cn

中文简介

贺劲松,1999年7月研究生毕业于中国科大数学系，获得理学博士学位, 2018年11月至今任深圳大学高等研究院教授。 他主要研究领域是可积非线性偏微分方程（组）的数学理论及其物理应用，负责国家自然科学基金6项（5项已经结题）， 入选教育部2008年度新世纪优秀人才支持计划，入选深圳市“鹏城孔雀计划”特聘教授（B类， 2021.12）。贺教授在国内外SCI学术刊物上发表论文总计200篇，入选“中国高被引学者”(2019-2021年)，也应邀担任国际知名期刊 Physica D 编委（2021.11-2024.10）， 客座编委（2021.07-2022.04）。

英文简介

Jingsong He received the Doctor’s Degree of Science from University of Science and Technology of China (USTC), Hefei, P. R. China in 1999. He is a Professor of Mathematics at Institute for advanced Study, Shenzhen University since November 2018. Prof. He has published about 200 scientific papers in the field of mathematical physics and nonlinear waves. Prof. He has got six grants from NSF of China (2004-2024), one grant from Program for NCET of China (2009-2011). Prof. He has also got Chinese fellowship from University of Warwick (UK) for half year visit (2003), and CNPq-TWAS Postdoctoral fellowship (2005) for one year visit at Brazil, and scholarship from CSC of China (2011) for one year visit at University of Cambridge.  Prof. He is an editor of Physica D: Nonlinear Phenomena(2021-2024).

Research interests: integrable partial differential equations (mathematical theory and physical applications).

英文名

Yaohua Hu

联系邮箱

mayhhu@szu.edu.cn

中文简介

深圳大学数学与统计学院教授，博士生导师，香港理工大学兼职博导，国家优秀青年科学基金获得者。研究兴趣为连续优化理论、算法与应用研究：包括非凸稀疏优化、广义凸优化、复合优化的稳定性理论与快速算法的收敛性理论，机器学习、生物信息学与光谱分析的应用研究，在SIOPT, JMLR, EJOR, BIB等国际期刊发表论文40余篇。

英文简介

Dr. Yaohua Hu is a professor in College of Mathematics and Statistics at Shenzhen University. His current research interests include theory and algorithms for large-scale optimization, including nonconvex sparse optimization, generalized convex optimization and composite optimization problems, and their applications in machine learning, bioinformatics and spectrum analysis. He has been awarded by the Excellent Young Scientists Fund of the National Natural Science Foundation of China, and has published 40+ papers in prestigious international journals, including SIOPT, JMLR, EJOR, BIB etc.

英文名

Ran Wang

联系邮箱

wangran@szu.edu.cn

中文简介

从事人工智能方面的研究，利用概率统计或最优化等技术解决机器学习与模式识别中的关键问题，包括但不限于监督学习、半监督学习、弱监督学习、主动学习、多示例与多标记学习、泛化能力分析、深度网络的训练方法与性能提升、对抗样本与对抗鲁棒性、智能计算与演化算法等，以及相关方法在计算机视觉、图像处理、大数据分析等领域的应用。与计算机科学与技术、信息与计算科学、应用统计、电子与信息工程、人工智能等专业有强关联性，具有较强的应用导向性。

英文简介

The research direction of our team mainly focuses on artificial intelligence, aiming to solve the key problems in machine learning and pattern recognition by using the techniques of probability&statistics and optimization. Specific topics include but are not limited to supervised learning, semi-supervised learning, weakly-supervised learning,  multi-instance and multi-label learning, generalization capability analysis, deep learning, adversarial examples and adversarial robustness, intelligent computing and evolutionary algorithms, and their applications in computer vision, image processing, big data analytic, etc. We have strong connections with the majors and teams of computer science and technology, information and computing science, applied statistics, electronics and information engineering, artificial intelligence, etc., and our researches have strong application orientation.

英文名

Yan Zhou

联系邮箱

zhouy1016@szu.edu.cn

中文简介

深圳大学数学与统计学院特聘研究员，博士研究生导师。 2013年本硕博毕业于东北师范大学数学与统计学院，随后在美国伊利诺伊大学香槟分校从事博士后工作，2015年进入深圳大学工作。期间经常访问香港大学，香港浸会大学，香港城市大学等。主要从事统计学，生物统计，机器学习，医学统计等数据科学方面的研究。获得深圳市孔雀计划奖励C类。主持国家面上项目，国家青年项目等多项项目。以第一作者身份在Genome Research，bioinformatics，Statistics in Medicine, BMC Genomics等国际高质量期刊上发表高水平SCI论文三十余篇。

英文简介

Statistics, Biostatistics, Deep Learning, Bioinformatics

英文名

Duan Qin

联系邮箱

qduan@szu.edu.cn

中文简介

段琴，深圳大学数学科学学院副教授，硕士、博士分别于2008年、2011年毕业于香港中文大学数学科学研究所。2015年获得深圳市孔雀计划奖励C类，主持国家青年项目、国家面上项目等多项项目，主要研究领域是流体力学中的偏微分方程，尤其是可压缩Navier-Stokes方程及其相关模型解的存在性、唯一性及大时间性态，相关学术成果发表在Archive for Rational Mechanics and Analysis，Journal of Differential Equations, Sincece China Mathematics等国际高质量期刊上。

英文简介

Dr. Qin Duan is an associate professor in School of Mathematical Sciences at Shenzhen University. The main research field is partial differential equations in fluid mechanics, especially the existence, uniqueness, and large time behavior of solutions to compressible Navier-Stokes equations and their related models. Relevant academic achievements have been published in international high-quality journals such as Archive for Rational Mechanics and Analysis, Journal of Differential Equations, and Since China Mathematics.

英文名

Yushan Qiu

联系邮箱

yushan.qiu@szu.edu.cn

中文简介

深圳大学数学科学学院副教授，博士生导师。主要从事生物信息，机器学习等数据科学方面的研究。具体包括多组学数据整合、肿瘤转移机制的分子关联与调控分析、单细胞组学数据的分析、空间转录组数据的解析等。主持国家自然科学基金面上项目，青年项目等多项项目。以第一作者与通讯作者身份在CELL子刊，PLoS Computational Biology， Briefings in Bioinformatics等国际高质量期刊上发表高水平SCI论文三十余篇。

英文简介

Dr. Yushan Qiu is an associate professor in School of Mathematical Sciences at Shenzhen University. The research direction mainly focuses on Bioinformatics and machine learning, including multi-omics data integration, molecular association and regulation during tumor metastasis, single cell omics data analysis, spatial transcriptome data deciphering. She has been awarded by the General Fund of the National Natural Science Foundation of China, and has published 30+ papers in prestigious international journals, including iScience, PCB, BIB etc.