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.

Consultation

Email:         2416906794@qq.com

英文名

Ben Niu

联系邮箱

drniuben@gmail.com

中文简介

深圳大学管理学院副院长，博导，教授，深圳大学优秀学者。英国爱丁堡大学、美国亚利桑那州立大学、新西兰惠灵顿维多利亚大学访问学者，香港理工大学博士后、中国科学院博士后。近年来，获得多项学术荣誉，如入选国家第二批“香江学者”、英国皇家工程院与中国工程院“中英创新领军人才”、 2019年度科学影响力全球前2%。主持国家自然科学基金项目6项，广东省教育厅重大项目1项，广东省自然基金3项，中国博士后科学基金项目的2项（特别资助1项），其它省市级项目10余项。主要从事人工智能、大数据分析与处理、信息系统与信息管理、运筹与优化、物流与供应链管理、智慧医疗等多学科交叉领域的科研工作，发表相关学术论文170余篇，其中SCI/SSCI收录论文59篇、EI收录99篇，出版专著9部，申请专利及软件著作权7项，获得过国际群体智能大会（ICSI）最佳论文奖、国际智能计算大会（ICIC）最佳论文奖、中国管理学年会优秀论文奖及其它各类学术奖项20余項。

英文简介

He is the associate dean of College of Management of the SZU and he is a PhD supervisor, professor and an outstanding scholar of Shenzhen University. Previously, he worked as a visiting scholar at the University of Edinburgh in the United Kingdom, Arizona State University in the United States, Victoria University of Wellington in New Zealand, postdoctoral fellow at the Hong Kong Polytechnic University, and postdoctoral fellow at the Chinese Academy of Sciences. In recent years, he has won a number of academic honors, such as being selected as the second batch of "Hong Kong Scholars" in the mainland china, the "China-UK Innovation Leading Talents" of the Royal Academy of Engineering and the Chinese Academy of Engineering, and the top 2% of the world's scientific influence in 2019. He had 6 projects supported by the National Natural Science Foundation of China, 4 projects supported by Natural Science Foundation of Guangdong Province, 2 projects supported by China Postdoctoral Science Foundation (1 special funded), and more than 10 other provincial or municipal projects. His researches mainly include artificial intelligence, big data analysis, information systems and information management, operations research and optimization, logistics and supply chain management, smart medical and other multidisciplinary scientific research work. He had published more than 170 high quality papers, 9 research monographs or books, 7 patents and software copyrights, won over 20 outstanding paper awards or other various academic awards, such as the Best Paper Awards in the International Conference of Swarm Intelligence (ICSI), International Conference of Intelligent Computing (ICIC), and Management Conference of China.

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. For his publication record, please visit his profile at googlescholar via  https://scholar.google.com/citations?user=VeR6nkYAAAAJ&hl=en .

英文名

Yanchun Pan

联系邮箱

panyc@szu.edu.cn

中文简介

潘燕春，男，深圳大学国际交流学院院长，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。入选广东省高等学校优秀青年教师培养对象、广东省“千百十工程”培养对象、深圳市高层次人才、深圳大学“荔园优青”培养对象。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优秀教师、优秀论文奖等教学和科研奖励30多次。

个人主页：https://ma.szu.edu.cn/jsfc/panyanchun_070023.htm

英文简介

Dr. Yanchun Pan is the Dean of the College of International Exchange (CIE) at Shenzhen University (SZU), and a professor and doctoral supervisor at the College of Management, Shenzhen University. He got his Ph.D. degree from Beihang University, and used to be the visiting scholar at Georgia Institute of Technology and Indiana State University. Dr. Pan was honored as an Outstanding Young Teacher in higher education institutions of Guangdong Province and a high-level talent in Shenzhen City. He is also the Vice Chairman of the Guangdong Society of Systems Engineering, and the Vice Chairman of the Guangdong Association for Modernization of Technology, Economy and Management. Dr. Pan is an anonymous review expert for a number of international journals such as Transportation Research, International Journal of Production Research, Applied Energy, and Energy Policy. He hosted two National Natural Science Foundation projects, five provincial and ministerial level projects, and four enterprise commissioned projects. Dr. Pan published over 60 academic papers indexed by SCI/SSCI/EI. Three of his management cases were honored as the Top 100 Excellent Management Cases in China. More than 30 teaching and research awards have been awarded to him, including the MBA Outstanding Teacher and Excellent Paper Award.

Personal homepage: https://ma.szu.edu.cn/teacher-content.jsp?urltype=tp.TpTeacherDetail&wbtreeid=2704&id=1590648430760812545&dm=panyanchun_070023 

英文名

Zhimin Zhou

联系邮箱

mnizzm@szu.edu.cn

中文简介

周志民，深圳大学管理学院教授、博士生导师。中山大学博士、香港城市大学博士后。美国南加州大学、英国中央兰开夏大学访问学者。入选教育部“新世纪优秀人才支持计划”。主要从事品牌管理、在线社群、网络营销研究。主持4项国家自然科学基金项目，出版9部专著、译著和教材，发表100余篇中英文期刊论文（含20多篇SSCI论文），荣获广东省哲学社科优秀成果一等奖等20余项科研奖。

英文简介

Zhimin Zhou is a Professor of Marketing of College of Management at Shenzhen University. He obtained his PhD from Sun Yat-Sen University in 2003. He worked respectively as a Visiting Scholar at University of Southern California from 2014 to 2015. He was honored with the New Century Excellent Talent in University by the Ministry of Education in China in 2013. His research interests focus on brand management, online community, internet marketing, etc. Four of his research projects are financially supported by the National Natural Science Foundation of China (NSFC). He has published more than 100 pieces of paper on some prestigious journals, including Journal of Business Research, Corporate Social Responsibility and Environmental Management, Journal of Computer-Mediated Communication, Computers in Human Behavior, Internet Research, Cyberpsychology, Behavior, and Social Networking, Journal of Product & Brand Management, Journal of Brand Management,  International Journal of Consumer Studies, Journal of Destination Marketing & Management, and some leading Chinese journals.

英文名

Jingbo Yuan

联系邮箱

jingboyuan@szu.edu.cn

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。个人信息主页：https://ma.szu.edu.cn/jsfc/yuanjingbo_1019240.htm

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. His personal information homepage: https://ma.szu.edu.cn/jsfc/yuanjingbo_1019240.htm

英文名

Zeng Xianju

联系邮箱

zxj@szu.edu.cn

中文简介

曾宪聚，男，博士（西安交通大学，2008），博士后（香港城市大学，2009）；深圳大学学科建设办公室主任，管理学教授。

研究兴趣：管理认知，制度演化，中国情境下的战略管理、公司治理、组织变革与领导力等。主持国家自然科学基金3项，其它研究项目10余项，在学术期刊和学术会议上发表论文60篇。入选“深圳市高层次专业人才”（2017），全国首届（2019）“优秀案例教师”（教育部学位中心），兼任中国战略管理学会副秘书长。2009-2010年曾工作于中国中化集团办公厅。

目前在研的国家自然科学基金面上项目：1.企业战略耐性：理论构建与实证检验，2.注意力基础观视角下高管团队战略反思对企业创新战略影响的混合方法研究。

英文简介

Zeng Xianju, Ph.D. (Xi'an Jiaotong University, 2008), Research Fellow (City University of Hong Kong, 2009); Director of Office of Academic Planning and Development, Shenzhen University, Professor of Management.

Research Interest: Management cognition, institutional evolution, strategic management, corporate governance, organizational change and leadership in the Chinese context. He has hosted 3 National Natural Science Foundation of China and more than 10 other research projects, published 60 papers in academic journals and academic conferences. He was selected as one of the "Shenzhen High-level Professional Talents" (2017), the 1st national "Excellent Case Study Teacher" (China Academic Degrees and Graduate Education Development Center, 2019), and the Deputy Secretary General of China Strategic Management Society. From 2009 to 2010, he worked in the General Office of China Sinochem Group.

He is currently working on the following projects of the National Natural Science Foundation of China:

 1. Corporate Strategic Perseverance: Theoretical Construction and Empirical Testing

2. A Mixed-Method Study on the Impact of Strategic Reflection of Executive Teams on Corporate Innovation Strategies from the Perspective of Attention-Based View.

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

Tianwei Zhou

联系邮箱

tianwei@szu.edu.cn

中文简介

   周天薇，助理教授，特聘研究员，深圳大学硕士生导师，深圳大学新锐研究生导师，大湾区国际创新学院特约研究员，健康智能创新研究中心特约研究员，天津大学博士研究生，新加坡国立大学联合培养博士研究生，2019年度入选深圳“海外高层次人才孔雀计划”。近年来主持参与国家自然科学基金项目4项，教育部人文社科基金1项，广东省教育厅重大项目1项，广东省基础与应用基础研究基金项目2项，广东省哲学社会科学项目1项，深圳市基础研究面上项目1项。长期从事智能调度、人工智能、信息物理系统、图像处理等多学科交叉领域的科研工作，近五年发表论文50余篇，在顶级期刊（SCI, TOP, JCR Q1, 中科院一区/二区）发表学术论文10余篇，申请专利15项。

英文简介

Tianwei Zhou received the B.S. degree from Tianjin University in 2014 and the Ph.D. degree from Tianjin University in 2019. She was a joint Ph.D. student with the Department of Electrical & Computer Engineering, National University of Singapore from August 2017 to August 2018. She is currently an Assistant Professor with the College of Management, Shenzhen University. She has been recognized as “Overseas High-Caliber Personnel” in Shenzhen. Her current research interests include Swarm Intelligence, Event-Driven Control, Networked Control Systems, and Image Processing. Now she has hosted or participated 10 national/provincial research projects, published more than 50 SCI/EI papers, including 10+ regular papers as the first/corresponding author in TOP IEEE Trans. Journals. She is the reviewer for many famous journals.

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、深圳国家级领军人才。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

Ghaffar Ali

联系邮箱

alig@szu.edu.cn

中文简介

伽法 阿里 博士在2020年和2021年被美国斯坦福大学和爱思唯尔公司列为世界前2%的研究人员之一。现为深圳大学管理学院副教授。他还担任四种国际期刊的编辑/编委会成员，包括《自然》杂志组。他的研究专长包括环境经济学；能源经济学；双碳议程；一带一路协议气候变化和可再生能源政策。早些时候，他曾为多个国际机构服务，包括亚洲理工学院（AIT）和联合国-泰国；中国科学院；巴基斯坦费萨拉巴德农业大学；和泰国玛希隆大学。他是一位经验丰富的研究员，在研究和教学方面有近10年的经验。此外，根据科学网（Publons）的数据，阿里博士是世界上1%的顶级同行评审之一。迄今为止，阿里博士已在主流期刊、会议、书籍、书籍章节和工作论文上发表了60多篇研究论文。他的引用次数超过1600次，h指数为22。他获得了30多个国际学术奖项，包括ScienceDirect、Web of Science、巴基斯坦政府、中国、泰国和美国。

英文简介

Dr. Ghaffar Ali is ranked among Top-2 % researchers of the world, a recent ranking by Stanford University, USA and Elsevier B.V., for 2020 & 2021. He is working as Associate Professor at the College of Management, SZU, China. He is also serving as Editor/Editorial Board Member for four international Journals including Nature group of journals. His research expertise includes Environmental economics; Energy economics; Double carbon agenda; Belt and Road Initiative; Climate change and Renewable energy policy. Earlier, he has served various international institutions including the Asian Institute of Technology (AIT), and United Nations - Thailand; the Chinese Academy of Sciences, China; University of Agriculture Faisalabad, Pakistan; and Mahidol University, Thailand. He is an experienced researcher with almost 10 years of experience in research and teaching. Furthermore, Dr. Ali is among 1% Top peer reviewers of the world as published by Web of Science (Publons). Till date, Dr. Ali has published over 60 research papers in leading journals, conferences, book, book chapters, and working paper(s). His citations are more than 1600 with h-index of 22. He has more than 30 international academic awards including from ScienceDirect, Web of Science, Government of Pakistan, China, Thailand, and USA.

英文名

WANG Xiaofeng

联系邮箱

freewxf@szu.edu.cn

中文简介

王小峰，男，湖北荆州人，1981年出生。计算机博士、副教授、博导、深圳市医院管理者协会常务理事，主持参与了深圳市罗湖区、福田区卫生信息化暨数字化医院项目建设。主持国家与省部级科研项目六项、主编教材/专著七部、发表SCI及国内外核心期刊论文十余篇。主要研究方向：区块链与信息系统、应用数学、管理科学、机器学习与人工智能、网络新媒体等前沿技术在智能健康管理、智慧产业园/城市、社会创新治理、低碳绿色经济等领域的应用。

英文简介

Wang Xiaofeng, male, from Jingzhou, Hubei, was born in 1981. Ph.D. in Computer Science, Associate Professor, Doctoral Tutor, Executive Director of Shenzhen Hospital Managers Association, presided over and participated in the construction of health information and digital hospital projects in Luohu District and Futian District of Shenzhen. Led six national and provincial level scientific research projects, edited seven textbooks/monographs, and published over ten SCI and domestic and foreign core journal papers. Main research directions: The application of cutting-edge technologies such as blockchain and information systems, applied mathematics, management science, machine learning and artificial intelligence, and network new media in fields such as intelligent health management, smart industrial parks/cities, social innovation governance, and low-carbon green economy.

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

WANG, Yang

联系邮箱

wangyanghim@szu.edu.cn

中文简介

王旸，助理教授，现任深圳大学管理学院管理科学系副系主任。近年来围绕人工智能在大健康管理场景下的应用开展交叉学科的研究工作，主要研究兴趣包括卫生政策智能评估、医疗健康大数据分析、因果机器学习等。主持国家自然科学基金面上项目1项、青年项目1项，主持教育部人文社科青年项目1项，参与完成科技部国家重点研发计划项目2项，近三年在SSCI/SCI/CSSCI检索期刊上发表十余篇论文。

英文简介

Dr. WANG, Yang is an assistant professor at College of Management, Shenzhen University. He currently serves as the deputy director of Management Science Department. He has carried out interdisciplinary work around the application of artificial intelligence in healthcare management and services. His research interests include health policy assessment using big data, medical and health data analytics, causal machine learning algorithms, etc. Dr. WANG is the principal investigator of several research projects granted by the National Natural Science Foundation of China (1 general project on health policy assessment and 1 youth project on social media big data) and the Department of Social Sciences of the Ministry of Education. He has participated in two national key research and development plan project awarded by the Ministry of Science and Technology. He has published more than ten papers in interdisciplinary journals such as Journal of Medical Internet Research, Psychiatry Research, and Chinese Journal of Management Science.

英文名

LIN Meiyan

联系邮箱

mylin17@szu.edu.cn

中文简介

林美燕，（1990- ），女，电子商务系副教授，硕士生导师。2017年毕业于香港城市大学系统工程与工程管理专业，获博士学位，研究方向主要为养老服务供应链管理。近年来在International Journal of Production Economics、Transportation Research Part E: Logistics and Transportation Review、Annals of Operations Research、Computer & Operations Research、Computers & Industrial Engineering、Expert Systems with Applications、Decision Science、管理工程学报 等管理科学权威期刊发表论文。林美燕副教授长期深耕养老领域，研究从两大方向展开：一是关注养老服务运作管理，重点研究居家养老和机构养老模式下养老机构在“战略层面长远部署——战术层面阶段规划——运作层面日常实践”的运营管理问题。二是关注适老化产品供应链管理，重点研究考虑长者行为和偏好以及适老化产品供应方偏好的适老化产品定价、订货、库存管理等决策。

英文简介

Lin Meiyan is the associate professor in the Department of Electronic Commerce, master's supervisor. Graduated from the Systems Engineering and Engineering Management program at City University of Hong Kong in 2017, studied in supply chain management for elderly care services. In recent years, she has published papers in management science journals such as International Journal of Production Economics, Transportation Research Part E: Logistics and Transportation Review, Annals of Operations Research, Computer & Operations Research, Computers & Industrial Engineering, Expert Systems with Applications, Decision Science, and Journal of Management Engineering. Associate Professor Lin Meiyan has been deeply involved in the field of elderly care for a long time, conducting research from two main directions: one, is the operation and management of elderly care services, focusing on the operational management issues of elderly care institutions under the "strategic long-term deployment - tactical stage planning - operational daily practice" model of home based elderly care and institutional elderly care. The other is to focus on the supply chain management of aging products, with a focus on researching decisions such as pricing, ordering, and inventory management that consider the behavior and preferences of the elderly and the preferences of aging product suppliers.

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

Xiaofan LAI

联系邮箱

xiaofanlai@gmail.com

中文简介

赖晓凡，深圳大学管理学院教授，博士生导师，管理科学系副系主任，本硕博分别毕业于华南理工大学、中山大学和香港理工大学，毕业后历任香港科技大学博士后研究员和中山大学副研究员。2021年入选深圳市海外高层次“孔雀计划”人才（C类），2022年被评为深圳大学“新锐研究生导师”。在IJOC(UTD24)、TRB、EJOR、TRE、IJPE、FEM等运筹学管理科学、交通运输领域的顶级或权威学术期刊上发表论文近三十篇，主持国家、省部及企业委托等级别的科研与教研项目二十余项，其中国家自然科学基金项目两项，包括面上项目和青年项目（后评估优秀），担任国家自然科学基金重点项目子课题负责人，参与十余项国家级、香港特区政府等各类课题，研究成果获教育部高等学校科学研究优秀成果三等奖、广东省哲学社会科学优秀成果一等奖、广东省财政厅2021年财政科研课题结项二等奖、第二十次/第二十二次中国物流学术年会论文三等奖等，申请发明专利两项（实质审核中）。

感兴趣的研究方向：运筹优化、管理科学、人工智能、数据科学的理论与方法及其在智慧城市、智慧企业运营、物流与供应链管理、交通运输管理和旅游管理等方面的交叉应用。

采用的研究方法包括（但不限于）：运筹优化、管理科学、博弈论、人工智能、大数据分析等。

英文简介

Xiaofan LAI is currently a Professor in the College of Management, Shenzhen University. He obtained his PhD degree from the Hong Kong Polytechnic University, Master degree from Sun Yat-sen University, and Bachelor degree from South China University of Technology. His research focuses on the application of operations research and data science theories to problems in smart operation management, logistics and supply chain management, etc. He has published nearly thirty articles in mainly journals, including IJOC(UTD24)、TRB、EJOR、TRE、IJPE、FEM, etc.

RESEARCH INTERESTS

Operations Research, Management Science, AI and Data Science Theories and Methods, and Their Applications in Smart Operation Management, Logistics and Supply Chain Management, Multi-Modal Transportation and Tourism Management etc.