PROGRAM OVERVIEW

1、 Discipline Introduction

As a first-class discipline of Shenzhen University, Management Science and Engineering faces the practical problems of management engineering such as intelligent decision-making, system engineering and logistics supply chain in the new era. Based on innovative thinking, this major integrates disciplines such as Management Science, Information Science, Financial Technology and System Science to explore scientific laws that are able to reflect objective practice, so as to realize the advantageous discipline of effective utilization of resources.This discipline has formed five distinctive and fruitful research directions, with relatively stable full-time teachers, discipline leaders and academic backbone teams with reasonable scale and structure, such as "Intelligent Optimization and Decision-Making","Management System and Engineering","Supply Chain and Logistics Engineering","Internet and Information Management", and "Financial Technology and Service Engineering".

2、Educational Objectives

Based on Guangdong-Hong Kong-Macao Greater Bay Area and the Socialist Leading Demonstration Area, this major assists students to face the whole country and the world. It aims to cultivate high-level talents in the field of Comprehensive Management Science and Engineering with strong professional foundation, strong sense of innovation, wide application and high comprehensive quality, and integrate morality and talents into the Three-Wide Education Construction Project. It enables students to systematically study the theories, methods and technologies of Management Science, and skillfully use relevant theories and methods to analyze and solve the problems of Management Decision-Making and System Engineering in reality. Professionals who can engage in management practice or teaching and scientific research in government agency, enterprises and institutions and colleges and universities.

1. It requires students to master the basic theory of Marxism, establish a scientific world outlook, adhere to the four basic principles, abide by discipline and law, to have good moral character, to have strong dedication and dedication, and actively serve the modernization of the motherland.

2. It requires students to have solid and broad basic theory and systematic and in-depth professional knowledge, and to understand the research status and development objects of the discipline at home and abroad. Students should be able to engage in scientific research independently and have creative opinions or achievements in theory or application.

3. It requires students to master a foreign language, to be able to charge a skillful foreign language to read the professional literature, and to have a certain writing ability and the ability of international academic exchange. As a discipline integrating management and technology, theory and practice, the students trained in this discipline need to be trained and improved in the following aspects to meet the corresponding learning requirements in the specific scientific research work as follows,

(1) Academic norms: Students should be able to follow academic norms in the process of research design and scientific experiment, to have solid academic literacy, to have a rigorous and pragmatic scientific spirit, to ensure integrity in thesis writing, quote content norms, and eliminate plagiarism and plagiarism of others' views.

(2) Academic ethics: Students are required to adhere to the moral bottom line of scientific research, to ensure that the research content meets the ethical requirements, and to attach great importance to academic ethics.

(3) Research methodology: Students are required to master the research methodology of this discipline, to be able to choose relevant theories reasonably to explain the problems in management experiment, to be good at refining scientific problems, and to choose reasonable methods to solve research problems.

(4) Technical and analytical skills: Students are required to skillfully use quantitative and qualitative analysis techniques, to be able to comprehensively use information technology means to complete the intermediate processes such as the analysis of research data and the refinement of research ideas, and to have solid and reliable academic basic ability.

(5) Critical thinking: Students are required to be able to examine the research problems from a systematic perspective, to establish a stable logical chain in the process of scientific exploration, and to be good at organizing the research framework.

(6) Innovation ability: Students are required to have strong academic innovation ability, and to be able to analyze and discuss from a new perspective according to the forefront of management practice and theory.

(7) Communication skills: Students are required to fluent in Chinese and English, to be able to explain academic ideas clearly and methodically, and to understand the basic etiquette and skills of international academic exchanges.

(8) Writing ability: Students are required to be able to clarify ideas logically, clearly and accurately in written form, and to be able to write Chinese and English academic papers independently.

3、 Training direction

This discipline has formed five distinctive and fruitful research directions,  with relatively stable full-time teachers, discipline leaders and academic backbone teams with reasonable scale and structure.

Direction 1: Intelligent Optimization and Decision-Making

This direction focuses on the practical optimization and decision-making problems in the field of management science, and conduct research by using the methods of Swarm Intelligence Computing, feature engineering technology, big data analysis and intelligent decision-making, so as to form characteristics in the aspects of big data and intelligent medical treatment, customer intelligent recommendation, intelligent innovation and ect..

Direction 2: Management System and Engineering

This direction pays attention to the academic frontier issues of management system and engineering, and carry out research by using mathematical and simulation modeling and optimization analysis, data-driven modeling and empirical analysis, so as to form characteristics in production and service scheduling, resource and environmental management, manufacturing and environmental engineering, etc.

Direction 3: Supply Chain and Logistics Engineering

This direction aims at the academic problems in the theoretical methods of Supply Chain Management and the practice of Logistics Engineering Industry, the theoretical methods and industry application research are carried out by using the methods of Mathematical Modeling, Algorithm Research, Statistical Measurement, Policy Analysis and questionnaire survey. This research direction strives to be indomitable, realize the combination of supply chain theory and method innovation and practical services in the logistics industry, pursue the innovation of supply chain theory and method, and pay attention to the solution of practical problems in the logistics industry.

Direction 4: Internet and Information Management

This direction adapts to the development trend of big data technology and Internet economy, and it adopts the empirical methods of big data analysis and questionnaire survey to study the information dissemination and management in the context of the Internet. It forms characteristics in the aspects of online brand community social network, UGC user participation behavior, social recommendation system of scientific research experts, etc.

Direction 5: Financial Technology and Service Engineering

This direction focuses on the interdisciplinary frontier of Digital Finance, Artificial Intelligence and Management Science.  It faces the urgent practical needs of preventing and resolving financial risks. This discipline explores the financial innovation and service mode driven by digital technology, and explores the methods of financial risk identification, monitoring and prevention and control driven by big data, so as to form characteristics in financial asset pricing and risk management, service support in innovation and entrepreneurship, etc. It provides intellectual support for the development of financial innovation and the construction of risk intelligent prevention and control system in the Guangdong-Hong Kong-Macao Greater Bay Area.

4、 Academic system and maximum length of study

Students are able to enroll in the program via the enrollment system by the International Exchange College. The successful applicants who pass the "application assessment system" are able to enroll in the Ph.D. program with 3 years, and they should complete the Ph.D. program within 5 years. Ph.D. students who meet the requirements of the discipline cultivation plan may apply for graduation half a year or one year in advance with the approval of their supervisors, but the academic year limit shall not be less than 2 years.

5、 Training methods

1.The cultivation of graduate students is a combination of supervisors with responsibility and collective cultivation. The student's supervisor is the first person in charge for the cultivation of graduate students, who provides all-round and targeted guidance for the whole process of postgraduate cultivation. Colleges and degree centers have the obligation to play the role of collective training and monitoring in the key links such as the formulation of postgraduate training plan, course learning, mid-term comprehensive assessment, dissertation proposal, mid-term assessment  and pre-defense.

2.The cultivation of Ph.D. students adopts the way of combining theoretical study with scientific research and focusing on scientific research. The cultivation of postgraduates is mainly within the primary discipline, encourage innovative training models, and support students to participate more in academic exchanges and international cooperative research.

CORE COURSES

China Overview、Basic Chinese、Professional English、Thesis Writing Guidance、Advanced Econometrics、Frontiers of Modern Management Science、Advanced Management Research Methods、Big Data and Artificial Intelligence、Theory and Methods of Complex Systems

CAREER PROSPECTS

Graduates of this major can engage in decision-making consultation, business operation and management in national administrative departments at all levels, large and medium-sized industrial and commercial enterprises at home and abroad, foreign-funded enterprises, multinational corporations and foreign-funded enterprises; Colleges and universities or scientific research institutions are engaged in teaching and scientific research of relevant majors.

ENQUIRY

Email:         2416906794@qq.com

英文名

Jianwu JIANG

联系邮箱

jwjiang@szu.edu.cn

中文简介

深圳大学管理学院教授，副院长，博士生导师，美国宾夕法尼亚大学沃顿商学院访问学者，南京大学-美国亚利桑那州立大学联合培养博士，澳门城市大学商学院咨询委员会委员。主要研究方向为战略人力资源管理、雇佣关系管理、零工经济、组织创新，先后主持国家自然科学基金项目4项，出版《创业企业人力资源管理》、《人力资源管理》等教材5部，在国内外重要期刊发表论文40余篇。

英文简介

Prof. Jianwu JIANG is Professor as well as the associate dean of Management at Shenzhen University. He was visiting scholar of the Wharton School at University of Pennsylvania and University of Missouri at St. Louis. He is also a member of advisory committee of City University of Macau.

Prof. Jianwu JIANG earned his Ph.D.in the field of human resource management from the joint PhD program by Arizona State University, USA, and Nanjing University, China. He is a member of Academy of Management, and International Association of Chinese Management Research. He is serving as Editorial Review Board of International Journal of Human Resource Management, Current Psychology, Journal of Managerial Psychology, Chinese Journal of Management, etc.

Prof. Jianwu JIANG’s research interests focus on strategic human resource management, gig economy, employment relationship, and organization innovation. He has published over 40 articles in SSCI and Chinese-SSCI journals of management such as the International Journal of Human Resource Management, Current Psychology etc. One of his scholarly work＂Does HRM facilitate employee creativity and organizational innovation? A study of Chinese firms＂published in IJHRM in 2012 has accrued over 330 Google Scholar citations and over 120 Web of Science citations.

英文名

LIN XUDONG

联系邮箱

xudonlin@szu.edu.cn

中文简介

林旭东，教授、博导，院教授委员会主任，广东省本科高校电子商务类专业教学指导委员会委员、广东省“千百十”省级培养对象、深圳市地方级高层次人才。主要研究领域包括数字经济、数据治理、金融科技等，专注于用大数据和信息技术分析金融市场、数据定价、平台监管等基础理论问题。近年来主持3项国家自然科学基金项目、1项国家软科学研究计划项目、1项教育部人文社科一般项目和2项省软科学项目；出版学术专著1部，在国内外学术期刊发表学术论50余篇，SCI/SSCI检索16篇，CSSCI检索20余篇，成果他引800余次。独立荣获广东省哲学社会科学优秀成果三等奖1项、深圳市哲学社会科学优秀成果二等奖和三等奖各1项。指导博士生2名，博士后2名。

英文简介

 Professor Lin Xudong is the doctoral director, director of the professor committee of the college, member of the Teaching Steering Committee of E-Commerce major in undergraduate colleges and universities in Guangdong Province, the "Ten Thousand" Provincial Training Object in Guangdong Province, and Local High-Level Talents in Shenzhen. The main research fields include digital economy, data governance, financial technology, etc., focusing on the analysis of basic theoretical issues such as financial market, data pricing and platform supervision with big data and information technology. In recent years, he has presided over 3 National Natural Science Foundation projects, 1 national Soft Science Research Plan Project, 1 General humanities and Social Sciences project of the Ministry of education and 2 provincial soft science projects. He has published 1 academic monograph, published more than 50 academic theories in domestic and foreign academic journals, 16 SCI / SSCI searches and more than 20 CSSCI searches, and cited the results more than 800 times. Independently won one third prize for outstanding achievements in philosophy and social sciences of Guangdong Province, one second prize and one third prize for outstanding achievements in philosophy and social sciences of Shenzhen. There are 2 doctoral students and 2 postdoctors.

英文名

MA LIJUN

联系邮箱

ljma@szu.edu.cn

中文简介

马利军，现为深圳大学管理学院教授，电子商务系主任，管理科学与工程博士生导师，香港城市大学兼职研究员。本科及硕士毕业于中国科技大学 (2001，2003)，博士毕业于香港中文大学博士 (2007)。主要从事现代服务管理相关研究。累计承担国家自然科学基金在内的国家及省部级科研项目20多项，入选广东省首届“优秀青年教师培养计划”、深圳市海外高层次人才“孔雀计划”B类人才。主编出版教材《物流工程》、《库存控制与仓储管理》两部，出版《库存和供应链管理研究》、《Inventory Management with Alternative Delivery Times》研究专著两部，在管理科学与工程国际权威期刊、国内核心期刊和会议论文集上发表论文100余篇。研究成果获省市及中国物流学会、中国系统工程学会、亚太商务智能学会等10余项科研奖励。

担任国际期刊《Modern Supply Chain Research and Application》副主编(Associate Editor)，系30本国际国内权威学术期刊匿名审稿人。系教育部物流教指委青年教师工作组副组长、美国生产运作协会会员(POMS)、中国生产运作协会会员(POMC)、中国运筹学会随机服务与运作管理分会理事、中国运筹学会行为运筹与管理分会理事、中国管理现代化研究会运作管理专业委员会委员。系北京大学EDP项目、清华大学EDP项目、香港中文大学EMSc课程、湖南大学MBA项目兼职教授。为顺丰速运、香港利丰集团、香港大同集团、益海嘉里提供供应链管理咨询服务。

英文简介

Prof. MA LIJUN is a Full professor at the College of Management. He serves as the head of department of E-commerce. He earned his Ph.D with specialty in Supply Chain Management from department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong. His specialty is within Operations management, especially in Supply Chain Logistics Management. He has published more than 100 papers including leading journal papers, conference proceedings. He has also published a monograph in the Springer Press. He has served as investigator and co-investigator for more than 20 grants including 8 grants from National Natural Science Foundation of China. His research network spans from North American, Asia, to Europe. He serves as associate editor for Modern Supply Chain Research and Application. He is a member of POMS, INFORMS. His current research interests are in innovative operations in sharing economy. He welcomes potential students with solid mathematical background. 

英文名

Yanchun Pan

联系邮箱

panyc@szu.edu.cn

中文简介

潘燕春，深圳大学管理学院教授、博士生导师。北京航空航天大学博士，美国佐治亚理工学院和印第安纳州立大学访问学者。广东省高等学校优秀青年教师、广东省“千百十工程”教师、深圳市高层次人才、深圳大学“荔园优青”。曾任广东省系统工程学会副理事长，广东省技术经济和管理现代化研究会副理事长，国际期刊《Transportation Research》、《International Journal of Production Research》、《Applied Energy》、《Energy Policy》等匿名评审专家。主持国家自然科学基金课题2项，主持省部级课题5项，主持企业委托项目4项。发表SCI/SSCI/EI检索学术论文60多篇；出版著作、编著、译著5部。入选全国百篇优秀管理案例3篇，荣获MBA金牌教师、优秀论文奖等教学和科研奖励30多次。

英文简介

Dr. Pan Yanchun is a professor at School of Management, Shenzhen University. He obtained his doctoral degree from Beihang University. He was a visiting scholar at Georgia Institute of Technology and Indiana State University in the United States. He is awarded the title of Outstanding Young Teacher in Guangdong Higher Education Institutions, teacher of the Guangdong “Qian Bai Shi Project”, High-level Talent of Shenzhen, and “Liyuan Outstanding Young Scholar” of Shenzhen University. He once served as Vice Chairman of the Systems Engineering Society of Guangdong Province and Vice Chairman of Guangdong Society of Technical Economics and Modernization of Management. He works as an anonymous reviewer for international journals including Transportation Research, International Journal of Production Research, Applied Energy, Energy Policy, etc. He has presided over 2 projects funded by the National Natural Science Foundation of China, 5 provincial and ministerial research projects, and 4 enterprise-commissioned research projects. He has published more than 60 academic papers indexed by SCI/SSCI/EI and authored/edited/translated 5 books. Three of his cases were selected into the National Top 100 Excellent Management Cases. He has received over 30 teaching and research awards such as the MBA Gold Medal Teacher Award and Outstanding Paper Award.

英文名

Jingbo Yuan

联系邮箱

924769218@qq.com

中文简介

袁靖波，现任深圳大学管理学院副教授、市场营销系副系主任、新锐研究生导师、博士后合作导师，武汉大学与南卡罗莱纳大学联合培养博士，深圳市后备级高层次人才。曾担任华为公司业务分析师、项目经理等，具有丰富的管理实践经历。目前主持课题包括国家自然科学基金项目、国家社科基金项目、教育部人文社科项目、中国博士后科学基金项目以及多项省市课题，研究团队成员包括博士后、副研究员、研究生等，研究经费充足，担任国家自然科学基金通讯评审专家以及多家学术杂志匿名审稿人。相关研究成果获得教育部第八届高等学校科学研究优秀成果奖（人文社会科学）二等奖、中国管理现代化研究会学术年会“优秀论文奖”等多个奖项。主要研究方向包括战略管理、商业伦理、平台企业管理、产业链断裂与治理等。

英文简介

Jingbo Yuan is an associate professor of the School of Management of Shenzhen University, deputy head of the Department of Marketing, postgraduate supervisor and postdoctoral co-supervisor. He obtained his PhD from Wuhan University and University of South Carolina, and was selected as a high-level talent in Shenzhen. He once served as business analyst and project manager of Huawei Company, and has accumulated rich experience in management practice. At present, he has led many projects including National Natural Science Foundation, National Social Science Foundation, Humanities and Social Sciences Foundation of the Ministry of Education, and many provincial and municipal projects, the funding for research is adequate. He has served as an expert reviewer for the National Natural Science Foundation of China and a reviewer for several academic journals. His research papers have won the second prize of the 8th Institute of Higher Education Scientific Research Outstanding Achievement Award (Humanities and Social Sciences) by the Ministry of Education, Excellent Paper Award of Chinese Academic Conference of Management, as well as many other awards. His research interests include strategic management, business ethics, platform firm management, industrial chain rupture and governance, etc. 

英文名

Shuang Geng

联系邮箱

gs@szu.edu.cn

中文简介

耿爽，博士，深圳大学管理学院管理科学系助理教授，硕士生导师，2018年获得香港城市大学系统工程与工程管理专业哲学博士学位，英国巴斯大学访问学者。长期致力于智能推荐和多模态用户数据挖掘方法的基础理论研究，并开展了新方法与智慧教育、数字营销领域前沿课题相结合的交叉创新研究，现主持及参与国家自然科学基金2项、中国博士后基金项目1项、广东省资助项目3项、深圳市资助项目2项。 以第一作者和通讯作者身份发表SSCI/SCI/CSSCI检索论文13篇（一作9篇，JCR一区6篇），EI检索论文5篇，出版专著3部，总学术引用353次，单篇最高引用139次（Google scholar）。

耿爽，博士，深圳大学管理学院管理科学系副教授，硕士生导师，博导。2018年获得香港城市大学系统工程与工程管理专业哲学博士学位，英国巴斯大学访问学者。主要研究方向：智能决策系统、医疗数据挖掘、数字化平台用户行为（医疗平台、社交平台等）等，在IPM、CHB、JMIR、C&E、IR等SSCI/SCI/CSSCI检索期刊发表近三十篇论文。出版著作三部，获批专利及软著三项。主持及参与国家自然科学基金四项（重点项目子课题负责人）、教育部人文社科项目一项、广东省基金项目二项、市级其他项目三项，完成中国博士后基金项目一项。

英文简介

Prof. Geng obtained her Ph.D. degree at the Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong SAR. She was visiting scholar of College of Management, Bath University, UK. Her research interest includes intelligent decision-making systems, medical data mining, digital platform user behavior (medical platforms, social platforms, etc.).She has published nearly 30 papers in SSCI/SCI/CSSCI indexed journals such as IPM, CHB, JMIR, C&E, IR, etc. She is current PI of NSFC fund, Humanities and social science project of the Ministry of Education, Gaungdong Provincial fund, Postdoctoral Research Fellow fund, etc.

英文名

Hong Wang

联系邮箱

ms.hongwang@szu.edu.cn

中文简介

近5年主要聚焦于智能优化与管理决策等方面的工作，创新性地提出了一系列新型优化方法，并将提出的新理论新方法应用于管理实践。具体研究方向包括人工智能、数据挖掘、机器学习、客户分类、产品推荐、医疗辅助诊断等。在相关领域，发表学术论文40余篇，完成专著或教材2部，主持或参与国家自然科学基金项目4项，广东省自然科学基金项目2项目，其他市地级项目2项。在学术成果转换方面，设计并开发了基于群体智能的医疗大数据分析与智能诊断平台，并授权“基于头脑风暴算法的医学特征选择” 软件著作权1项，指导团队参加创新创业比赛获奖20余项。

英文简介

In the past five years, she focused on the study of intelligent optimization and management decision-making, had proposed a series of new optimization methods, and applied those new theories and methods to real-world applications. Her researches mainly include artificial intelligence, data mining, machine learning, customer classification, product recommendation, and medical aid diagnosis, etc. In related fields, she has completed two research monographs, and published more than 40 papers in high-quality journals such as International Journal of Intelligent Systems (SCI JCR Q1, IF= 10.312) , Swarm and Evolutionary Computation (SCI JCR Q1, IF=7.10, Knowledge-based Systems (SCI JCR Q1, IF=5.101), Neurocomputing (SCI JCR Q1，IF=4.072). In terms of academic achievement conversion, she designed and developed a new medical big data analysis and intelligent diagnosis platform based on swarm intelligence, which has been authorized the software copyright. Based on those achievements in medical diagnosis, she guided the students to participate in innovation and entrepreneurship competitions and won more than 20 awards.

英文名

Jihong Chen

联系邮箱

656441352@qq.com

中文简介

陈继红，男，深圳大学管理学院特聘教授、博士生导师、深圳国际海事研究院院长、国家社科重大项目（海洋强国）首席专家。研究专长包括海运供应链和物流管理、港口和航运管理、海运管理和政策。发表了代表性学术论文200余篇，主要论文发表在Nature, Ocean & Coastal Management, Ocean Engineering, Annals of Operations Research, Transportation Research Part A: Policy and Practice, Transport Policy, Computers & Industrial Engineering, Journal of Navigation, Marine Policy, Journal of Environmental Management, Environmental Pollution and Marine Pollution Bulletin等权威学术期刊。主持国际、国家、省级等各类海洋海事项目80余项，获得政府、行业协会、海事部门等奖项20余项。他现任Ocean and Coastal Management (OCMA)主编、Sustainable Horizons(SH)副主编，以及其他多个期刊的编委，多家海洋学术机构和海事企业的专家成员或学者。

英文简介

Jihong Chen is Distinguished Professor at College of Management, Shenzhen University, Shenzhen, China, and the Dean of Shenzhen International Maritime Institute. His research expertise includes maritime supply chain and logistics management, port and shipping management, maritime management and policy. He has published more than 200 academic papers, including publications on Nature, Ocean & Coastal Management, Ocean Engineering, Annals of Operations Research, Transportation Research Part A: Policy and Practice, Transport Policy, Computers & Industrial Engineering, Journal of Navigation, Marine Policy, Journal of Environmental Management, Environmental Pollution and Marine Pollution Bulletin. He has conducted more than 80 international, national, provincial and other marine projects, and has won more than 20 awards from the government, industry associations, maritime departments, etc. He serves as an editor of Ocean and Coastal Management (OCMA), associate editor of Sustainable Horizons(SH), and editorial board member for several other journals. He is an expert member or scholar of many marine academic institutions and maritime enterprises .

英文名

Xianghua (Max) Chu

联系邮箱

x.chu@szu.edu.cn

中文简介

  深圳大学管理学院特聘研究员、博导，大数据智能管理与决策研究院研究员，深圳大学人才办主任，深圳市高层次专业人才。主持国家级、省级等各类科研基金项目30余项，包括中国国家自然科学基金、美国国家自然科学基金、广东省自然科学基金、美国梅奥医学中心、深圳市委市政府等研究咨询项目。发表国际权威论文40余篇，顶级论文10余篇。主要从事大数据驱动的管理与决策优化，及其在管理及工程等领域的应用。担任国家自然科学基金通讯评审专家、国际顶级期刊评审人、深圳市政府项目评宙专家。

英文简介

Dr. CHU Xianghua is the specially appointed researcher and doctoral advisor at the School of Management of Shenzhen University, director of the Talent Office, and the deputy director of the Human Resources Department of Shenzhen University, researcher at the Big Data Intelligent Management and Decision Research Institute, and high-level professional talent in Shenzhen. Hosted over 30 national, provincial, and other research and consulting projects, including the National Natural Science Foundation of China, the National Natural Science Foundation of the United States, the Guangdong Provincial Natural Science Foundation, the Mayo Medical Center of the United States, and the Shenzhen Municipal Party Committee and Government. Published over 40 internationally authoritative papers and over 10 top-level papers. Mainly engaged in big data-driven management and decision optimization, as well as its applications in management and engineering fields. Served as a communication review expert of the National Natural Science Foundation of China, a reviewer of top international journals, and a project evaluation expert of the Shenzhen Municipal Government.

英文名

Qian, Xiaohu

联系邮箱

xhqian@szu.edu.cn

中文简介

钱小虎，副教授、特聘副研究员、硕士生导师、留学博士生导师。研究方向包括物流与供应链管理、优化理论与决策方法等，主持并参与国家级、省部级等科研项目9项，在国内外知名期刊上发表学术论文30余篇，出版学术专著1部，担任中国运筹学会行为运筹与管理分会理事，担任CIE、EJOR等期刊审稿人，入选深圳市高层次人才。

英文简介

Xiaohu Qian is an associate professor, associate research fellow, master advisor and Ph.D. advisor of international students. His research interest includes logistics and supply chain management, optimization theory and decision-making method, and so on. He manages or participates in 9 national or department projects. He has published more than 30 papers and an academic monograph. He is also a council member of the Behavioral Operations Management Society of China. He is a reviewer of many journals like CIE, EJOR, etc. Also, he is a high-level professional in Shenzhen.

英文名

Hainan GUO

联系邮箱

guohn403@126.com

中文简介

郭海男老师主要研究领域为基于随机优化建模和算法设计的生产与复杂服务系统运作管理研究，结合医疗服务系统，包括关键医疗资源能力配置研究、手术室资源优化研究、预约调度研究等。研究主题包括但不限于医疗资源优化配置、分级诊疗、远程医疗、诊疗决策优化、医疗大数据分析等。主持多项国家级研究课题，在国内外OR/OM领域顶级学术期刊如《IEEE Transactions on Automation Science and Engineering》、《Omega》、《International Journal of Production Research》、《系统工程理论与实践》上发表学术论文 30 余篇。招收相关领域（管理科学与工程、工业与系统工程、应用数学等专业方向优先）的博士生从事相关研究工作（计算机、数学好优先）。

英文简介

Professor Guo Hainan's primary research focuses on operational management of complex service systems through stochastic optimization modeling and algorithm design, particularly in healthcare services. Her work includes the allocation of critical medical resources, optimization of operating room resources, and appointment scheduling. Research themes encompass medical resource optimization, hierarchical medical care, telemedicine, decision-making optimization in diagnostics, and healthcare big data analysis. She has led several national research projects and published over 30 academic papers in top-tier journals such as “IEEE Transactions on Automation Science and Engineering”, “International Journal of Production Research” and “Omega”, etc. She is looking to recruit PhD students in relevant fields (preferably Management Science, Industrial and Systems Engineering, or Applied Mathematics) to engage in related research, with a preference for candidates strong in computer science and mathematics.

英文名

FENG Yuanyue

联系邮箱

yuanyuef@szu.edu.cn

中文简介

冯元粤，男，博士，副教授，深圳大学博士生导师，博士毕业于新加坡国立大学信息系统专业，深圳大学荔园优青，入选深圳市海外高层次人才“孔雀计划”、高层次人才（后备级）及南山区“领航人才”。目前担任管理学院管理科学系系主任、深圳大学创新创业研究中心副主任、大湾区国际创新学院特约研究员。近年来主要从事信息系统、电子商务及创新创业等学科领域的交叉学科应用研究，具体包括智能信息系统用户行为，游戏化营销，直播电商、众筹及众包管理等，在信息系统、电子商务、创新创业等领域国际权威期刊以及信息系统领域顶级会议（如ICIS、AMCIS、HICSS和PACIS）论文集上发表SCI/SSCI/EI论文40余篇。担任《International Journal of Information Management》、《Information Systems Journal》、《Computers in Human Behavior》等国际顶级期刊和ICIS、PACIS等国际会议的匿名审稿人，国际信息系统协会AIS会员，中国优选统筹法与经济数学研究会计算机模拟分会理事。近年来主持国家自然科学基金项目1项、广东省自然科学基金项目2项、广东省哲学社会科学基金项目1项，参与多项国家级和省部级的科研项目。获2023年国际电子商务会议（ICEB）优秀论文奖、2020年中国创新与企业成长（CI&G）学术年会优秀论文奖、2021年度深圳大学教学成果奖、2019、2021年度深圳大学本科教学单项奖（优秀本科教师奖）、腾讯优秀教学管理团队奖、2022年及2023年全国百篇优秀管理案例奖，主持广东省研究生教育创新计划项目（研究生示范课程类）及深圳大学教学改革研究项目。

英文简介

Dr. Feng Yuanyue is the associate professor, Ph.D. supervisor at Shenzhen University. He graduated with a Ph.D. in Information Systems from the National University of Singapore and was selected as the "Peacock Program" for overseas high-level talents in Shenzhen, a high-level talent (reserve level), and a "Pilot Talent" in Nanshan District. Currently he serves as the Head of the Department of Management Science at the College of Management, the Associate Director of the Innovation and Entrepreneurship Research Center at Shenzhen University, and the Distinguished Researcher at the Greater Bay Area International Institute for Innovation in Shenzhen University. In recent years, he has mainly engaged in interdisciplinary research across the fields of information systems, e-commerce, and innovation and entrepreneurship, including intelligent information systems user behavior, gamified marketing, live streaming e-commerce, crowdfunding, and crowdsourcing management. He has published over 40 SCI/SSCI/EI papers in internationally prestigious journals in the fields of information systems, e-commerce, innovation and entrepreneurship, as well as in the proceedings of top conferences in the field of information systems (such as ICIS, AMCIS, HICSS, and PACIS). He has also served as an anonymous reviewer for top international journals such as International Journal of Information Management, Information Systems Journal, Computers in Human Behavior, and international conferences such as ICIS and PACIS. He is currently a member of the Association for Information Systems, and a member of the Computer Simulation Branch of the China Association for Optimal Research and Economic Mathematics. In recent years, he has been the principal investigator of an National Natural Science Foundation project, two Guangdong Provincial Natural Science Foundation projects, and one Guangdong Provincial Philosophy and Social Science Foundation project. He has also participated in multiple national and provincial scientific research projects. He has received the Outstanding Paper Award at the International Conference on Electronic Business 2023 (ICEB 2023) and the 2020 Corporate Innovation and Growth Academic Annual Conference (CI&G 2020). He has also received the Teaching Achievement Award at Shenzhen University in 2021, the Individual Award for Undergraduate Teaching at Shenzhen University in 2019 and 2021 (Outstanding Undergraduate Teacher Award), the Tencent Excellent Teaching Management Team Award, and the 2022/2023 National Outstanding Management Cases Award. He has been the principle investigator of an Guangdong Province Graduate Education Innovation Program (Graduate Model Course) and the Shenzhen University Teaching Reform Research Project.

英文名

Tianyu GONG

联系邮箱

gongtianyu@szu.edu.cn

中文简介

龚天宇，副教授，博士生导师，博士毕业于香港科大学，入选深圳大学 “百人计划”。主要研究方向为政府政策对企业创新的影响，企业数字化创新、企业国际化以及供应链管理。最新研究成果发表在UTD24等商科顶级期刊。获AIB 2025（Academy of International Business）Alan M. Rugman Most Promising Scholar Award. 作为项目负责人主持国家自然科学基金面上项目、青年项目（优秀结题）。

英文简介

Tianyu GONG is an Associate Professor and Doctoral Supervisor. He holds a Ph.D. from the Hong Kong University of Science and Technology and was selected for Shenzhen University’s "Hundred Talents Program." His primary research interests include the impact of government policies on corporate innovation, corporate digital innovation, firm internationalization, and supply chain management. His latest research findings have been published in top-tier business journals, including UTD24. He is the recipient of the 2025 Academy of International Business (AIB) Alan M. Rugman Most Promising Scholar Award. As a principal investigator, he has led projects funded by the National Natural Science Foundation of China (NSFC), including both General Program and Young Scientist Program grants (the latter concluded with an "excellent" rating).