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: [email protected]

英文名

Jingsong He

聯(lián)系郵箱

[email protected]

中文簡(jiǎn)介

賀勁松,1999年7月研究生畢業(yè)于中國(guó)科大數(shù)學(xué)系，獲得理學(xué)博士學(xué)位, 2018年11月至今任深圳大學(xué)高等研究院教授。 他主要研究領(lǐng)域是可積非線(xiàn)性偏微分方程（組）的數(shù)學(xué)理論及其物理應(yīng)用，負(fù)責(zé)國(guó)家自然科學(xué)基金6項(xiàng)（5項(xiàng)已經(jīng)結(jié)題）， 入選教育部2008年度新世紀(jì)優(yōu)秀人才支持計(jì)劃，入選深圳市“鵬城孔雀計(jì)劃”特聘教授（B類(lèi)， 2021.12）。賀教授在國(guó)內(nèi)外SCI學(xué)術(shù)刊物上發(fā)表論文總計(jì)200篇，入選“中國(guó)高被引學(xué)者”(2019-2021年)，也應(yīng)邀擔(dān)任國(guó)際知名期刊 Physica D 編委（2021.11-2024.10）， 客座編委（2021.07-2022.04）。

英文簡(jiǎn)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(lián)系郵箱

[email protected]

中文簡(jiǎn)介

深圳大學(xué)數(shù)學(xué)與統(tǒng)計(jì)學(xué)院教授，博士生導(dǎo)師，香港理工大學(xué)兼職博導(dǎo)，國(guó)家優(yōu)秀青年科學(xué)基金獲得者。研究興趣為連續(xù)優(yōu)化理論、算法與應(yīng)用研究：包括非凸稀疏優(yōu)化、廣義凸優(yōu)化、復(fù)合優(yōu)化的穩(wěn)定性理論與快速算法的收斂性理論，機(jī)器學(xué)習(xí)、生物信息學(xué)與光譜分析的應(yīng)用研究，在SIOPT, JMLR, EJOR, BIB等國(guó)際期刊發(fā)表論文40余篇。

英文簡(jiǎn)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(lián)系郵箱

[email protected]

中文簡(jiǎn)介

從事人工智能方面的研究，利用概率統(tǒng)計(jì)或最優(yōu)化等技術(shù)解決機(jī)器學(xué)習(xí)與模式識(shí)別中的關(guān)鍵問(wèn)題，包括但不限于監(jiān)督學(xué)習(xí)、半監(jiān)督學(xué)習(xí)、弱監(jiān)督學(xué)習(xí)、主動(dòng)學(xué)習(xí)、多示例與多標(biāo)記學(xué)習(xí)、泛化能力分析、深度網(wǎng)絡(luò)的訓(xùn)練方法與性能提升、對(duì)抗樣本與對(duì)抗魯棒性、智能計(jì)算與演化算法等，以及相關(guān)方法在計(jì)算機(jī)視覺(jué)、圖像處理、大數(shù)據(jù)分析等領(lǐng)域的應(yīng)用。與計(jì)算機(jī)科學(xué)與技術(shù)、信息與計(jì)算科學(xué)、應(yīng)用統(tǒng)計(jì)、電子與信息工程、人工智能等專(zhuān)業(yè)有強(qiáng)關(guān)聯(lián)性，具有較強(qiáng)的應(yīng)用導(dǎo)向性。

英文簡(jiǎn)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(lián)系郵箱

[email protected]

中文簡(jiǎn)介

深圳大學(xué)數(shù)學(xué)與統(tǒng)計(jì)學(xué)院特聘研究員，博士研究生導(dǎo)師。 2013年本碩博畢業(yè)于東北師范大學(xué)數(shù)學(xué)與統(tǒng)計(jì)學(xué)院，隨后在美國(guó)伊利諾伊大學(xué)香檳分校從事博士后工作，2015年進(jìn)入深圳大學(xué)工作。期間經(jīng)常訪(fǎng)問(wèn)香港大學(xué)，香港浸會(huì)大學(xué)，香港城市大學(xué)等。主要從事統(tǒng)計(jì)學(xué)，生物統(tǒng)計(jì)，機(jī)器學(xué)習(xí)，醫(yī)學(xué)統(tǒng)計(jì)等數(shù)據(jù)科學(xué)方面的研究。獲得深圳市孔雀計(jì)劃獎(jiǎng)勵(lì)C類(lèi)。主持國(guó)家面上項(xiàng)目，國(guó)家青年項(xiàng)目等多項(xiàng)項(xiàng)目。以第一作者身份在Genome Research，bioinformatics，Statistics in Medicine, BMC Genomics等國(guó)際高質(zhì)量期刊上發(fā)表高水平SCI論文三十余篇。

英文簡(jiǎn)介

Statistics, Biostatistics, Deep Learning, Bioinformatics

英文名

Duan Qin

聯(lián)系郵箱

q[email protected]

中文簡(jiǎn)介

段琴，深圳大學(xué)數(shù)學(xué)科學(xué)學(xué)院副教授，碩士、博士分別于2008年、2011年畢業(yè)于香港中文大學(xué)數(shù)學(xué)科學(xué)研究所。2015年獲得深圳市孔雀計(jì)劃獎(jiǎng)勵(lì)C類(lèi)，主持國(guó)家青年項(xiàng)目、國(guó)家面上項(xiàng)目等多項(xiàng)項(xiàng)目，主要研究領(lǐng)域是流體力學(xué)中的偏微分方程，尤其是可壓縮Navier-Stokes方程及其相關(guān)模型解的存在性、唯一性及大時(shí)間性態(tài)，相關(guān)學(xué)術(shù)成果發(fā)表在Archive for Rational Mechanics and Analysis，Journal of Differential Equations, Sincece China Mathematics等國(guó)際高質(zhì)量期刊上。

英文簡(jiǎn)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(lián)系郵箱

[email protected]

中文簡(jiǎn)介

深圳大學(xué)數(shù)學(xué)科學(xué)學(xué)院副教授，博士生導(dǎo)師。主要從事生物信息，機(jī)器學(xué)習(xí)等數(shù)據(jù)科學(xué)方面的研究。具體包括多組學(xué)數(shù)據(jù)整合、腫瘤轉(zhuǎn)移機(jī)制的分子關(guān)聯(lián)與調(diào)控分析、單細(xì)胞組學(xué)數(shù)據(jù)的分析、空間轉(zhuǎn)錄組數(shù)據(jù)的解析等。主持國(guó)家自然科學(xué)基金面上項(xiàng)目，青年項(xiàng)目等多項(xiàng)項(xiàng)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(guó)際高質(zhì)量期刊上發(fā)表高水平SCI論文三十余篇。

英文簡(jiǎn)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.