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.

Consultation

 Email: [email protected]

英文名

Jingsong He

聯系郵箱

[email protected]

中文簡介

賀勁松,1999年7月研究生畢業于中國科大數學系，獲得理學博士學位, 2018年11月至今任深圳大學高等研究院教授。 他主要研究領域是可積非線性偏微分方程（組）的數學理論及其物理應用，負責國家國家科學基金6項（5項已經結題）， 入選教育部2008年度新世紀優秀人才支持計劃，入選深圳市“鵬城孔雀計劃”特聘教授（B類， 2021.12）。賀教授在國內外SCI學術刊物上發表論文總計200篇，入選“中國高被引學者”(2019-2021年)，也應邀擔任國際知名期刊 Physica D 編委（2021.11-2024.10）， 客座編委（2021.07-2022.04）。

英文簡介

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

聯系郵箱

[email protected]

中文簡介

深圳大學數學與統計學院教授，博士生導師，香港理工大學兼職博導，國家優秀青年科學基金獲得者。研究興趣為連續優化理論、算法與應用研究：包括非凸稀疏優化、廣義凸優化、復合優化的穩定性理論與快速算法的收斂性理論，機器學習、生物信息學與光譜分析的應用研究，在SIOPT, JMLR, EJOR, BIB等國際期刊發表論文40余篇。

英文簡介

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

聯系郵箱

[email protected]

中文簡介

從事人工智能方面的研究，利用概率統計或最優化等技術解決機器學習與模式識別中的關鍵問題，包括但不限于監督學習、半監督學習、弱監督學習、主動學習、多示例與多標記學習、泛化能力分析、深度網絡的訓練方法與性能提升、對抗樣本與對抗魯棒性、智能計算與演化算法等，以及相關方法在計算機視覺、圖像處理、大數據分析等領域的應用。與計算機科學與技術、信息與計算科學、應用統計、電子與信息工程、人工智能等專業有強關聯性，具有較強的應用導向性。

英文簡介

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

聯系郵箱

[email protected]

中文簡介

深圳大學數學與統計學院特聘研究員，博士研究生導師。 2013年本碩博畢業于東北師范大學數學與統計學院，隨后在美國伊利諾伊大學香檳分校從事博士后工作，2015年進入深圳大學工作。期間經常訪問香港大學，香港浸會大學，香港城市大學等。主要從事統計學，生物統計，機器學習，醫學統計等數據科學方面的研究。獲得深圳市孔雀計劃獎勵C類。主持國家面上項目，國家青年項目等多項項目。以第一作者身份在Genome Research，bioinformatics，Statistics in Medicine, BMC Genomics等國際高質量期刊上發表高水平SCI論文三十余篇。

英文簡介

Statistics, Biostatistics, Deep Learning, Bioinformatics

英文名

Duan Qin

聯系郵箱

q[email protected]

中文簡介

段琴，深圳大學數學科學學院副教授，碩士、博士分別于2008年、2011年畢業于香港中文大學數學科學研究所。2015年獲得深圳市孔雀計劃獎勵C類，主持國家青年項目、國家面上項目等多項項目，主要研究領域是流體力學中的偏微分方程，尤其是可壓縮Navier-Stokes方程及其相關模型解的存在性、唯一性及大時間性態，相關學術成果發表在Archive for Rational Mechanics and Analysis，Journal of Differential Equations, Sincece China Mathematics等國際高質量期刊上。

英文簡介

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

聯系郵箱

[email protected]

中文簡介

深圳大學數學科學學院副教授，博士生導師。主要從事生物信息，機器學習等數據科學方面的研究。具體包括多組學數據整合、腫瘤轉移機制的分子關聯與調控分析、單細胞組學數據的分析、空間轉錄組數據的解析等。主持國家自然科學基金面上項目，青年項目等多項項目。以第一作者與通訊作者身份在CELL子刊，PLoS Computational Biology， Briefings in Bioinformatics等國際高質量期刊上發表高水平SCI論文三十余篇。

英文簡介

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.