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

聯系郵箱

drniuben@gmail.com

中文簡介

深圳大學管理學院副院長，博導，教授，深圳大學優秀學者。英國愛丁堡大學、美國亞利桑那州立大學、新西蘭惠靈頓維多利亞大學訪問學者，香港理工大學博士后、中國科學院博士后。近年來，獲得多項學術榮譽，如入選國家第二批“香江學者”、英國皇家工程院與中國工程院“中英創新領軍人才”、 2019年度科學影響力全球前2%。主持國家自然科學基金項目6項，廣東省教育廳重大項目1項，廣東省自然基金3項，中國博士后科學基金項目的2項（特別資助1項），其它省市級項目10余項。主要從事人工智能、大數據分析與處理、信息系統與信息管理、運籌與優化、物流與供應鏈管理、智慧醫療等多學科交叉領域的科研工作，發表相關學術論文170余篇，其中SCI/SSCI收錄論文59篇、EI收錄99篇，出版專著9部，申請專利及軟件著作權7項，獲得過國際群體智能大會（ICSI）最佳論文獎、國際智能計算大會（ICIC）最佳論文獎、中國管理學年會優秀論文獎及其它各類學術獎項20余項。

英文簡介

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

聯系郵箱

jwjiang@szu.edu.cn

中文簡介

深圳大學管理學院教授，副院長，博士生導師，美國賓夕法尼亞大學沃頓商學院訪問學者，南京大學-美國亞利桑那州立大學聯合培養博士，澳門城市大學商學院咨詢委員會委員。主要研究方向為戰略人力資源管理、雇傭關系管理、零工經濟、組織創新，先后主持國家自然科學基金項目4項，出版《創業企業人力資源管理》、《人力資源管理》等教材5部，在國內外重要期刊發表論文40余篇。

英文簡介

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

聯系郵箱

xudonlin@szu.edu.cn

中文簡介

林旭東，教授、博導，院教授委員會主任，廣東省本科高校電子商務類專業教學指導委員會委員、廣東省“千百十”省級培養對象、深圳市地方級高層次人才。主要研究領域包括數字經濟、數據治理、金融科技等，專注于用大數據和信息技術分析金融市場、數據定價、平臺監管等基礎理論問題。近年來主持3項國家自然科學基金項目、1項國家軟科學研究計劃項目、1項教育部人文社科一般項目和2項省軟科學項目；出版學術專著1部，在國內外學術期刊發表學術論50余篇，SCI/SSCI檢索16篇，CSSCI檢索20余篇，成果他引800余次。獨立榮獲廣東省哲學社會科學優秀成果三等獎1項、深圳市哲學社會科學優秀成果二等獎和三等獎各1項。指導博士生2名，博士后2名。

英文簡介

 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

聯系郵箱

ljma@szu.edu.cn

中文簡介

馬利軍，現為深圳大學管理學院教授，電子商務系主任，管理科學與工程博士生導師，香港城市大學兼職研究員。本科及碩士畢業于中國科技大學 (2001，2003)，博士畢業于香港中文大學博士 (2007)。主要從事現代服務管理相關研究。累計承擔國家自然科學基金在內的國家及省部級科研項目20多項，入選廣東省首屆“優秀青年教師培養計劃”、深圳市海外高層次人才“孔雀計劃”B類人才。主編出版教材《物流工程》、《庫存控制與倉儲管理》兩部，出版《庫存和供應鏈管理研究》、《Inventory Management with Alternative Delivery Times》研究專著兩部，在管理科學與工程國際權威期刊、國內核心期刊和會議論文集上發表論文100余篇。研究成果獲省市及中國物流學會、中國系統工程學會、亞太商務智能學會等10余項科研獎勵。

擔任國際期刊《Modern Supply Chain Research and Application》副主編(Associate Editor)，系30本國際國內權威學術期刊匿名審稿人。系教育部物流教指委青年教師工作組副組長、美國生產運作協會會員(POMS)、中國生產運作協會會員(POMC)、中國運籌學會隨機服務與運作管理分會理事、中國運籌學會行為運籌與管理分會理事、中國管理現代化研究會運作管理專業委員會委員。系北京大學EDP項目、清華大學EDP項目、香港中文大學EMSc課程、湖南大學MBA項目兼職教授。為順豐速運、香港利豐集團、香港大同集團、益海嘉里提供供應鏈管理咨詢服務。

英文簡介

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

聯系郵箱

panyc@szu.edu.cn

中文簡介

潘燕春，男，深圳大學國際交流學院院長，深圳大學管理學院教授、博士生導師。北京航空航天大學博士，美國佐治亞理工學院和印第安納州立大學訪問學者。入選廣東省高等學校優秀青年教師培養對象、廣東省“千百十工程”培養對象、深圳市高層次人才、深圳大學“荔園優青”培養對象。廣東省系統工程學會副理事長，廣東省技術經濟和管理現代化研究會副理事長，國際期刊《Transportation Research》、《International Journal of Production Research》、《Applied Energy》、《Energy Policy》等匿名評審專家。主持國家自然科學基金課題2項，主持省部級課題5項，主持企業委托項目4項。發表SCI/SSCI/EI檢索學術論文60多篇；出版著作、編著、譯著5部。入選全國百篇優秀管理案例3篇，榮獲MBA優秀教師、優秀論文獎等教學和科研獎勵30多次。

個人主頁：https://ma.szu.edu.cn/jsfc/panyanchun_070023.htm

英文簡介

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

聯系郵箱

mnizzm@szu.edu.cn

中文簡介

周志民，深圳大學管理學院教授、博士生導師。中山大學博士、香港城市大學博士后。美國南加州大學、英國中央蘭開夏大學訪問學者。入選教育部“新世紀優秀人才支持計劃”。主要從事品牌管理、在線社群、網絡營銷研究。主持4項國家自然科學基金項目，出版9部專著、譯著和教材，發表100余篇中英文期刊論文（含20多篇SSCI論文），榮獲廣東省哲學社科優秀成果一等獎等20余項科研獎。

英文簡介

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

聯系郵箱

jingboyuan@szu.edu.cn

中文簡介

袁靖波，現任深圳大學管理學院副教授、市場營銷系副系主任、新銳研究生導師、博士后合作導師，武漢大學與南卡羅萊納大學聯合培養博士，深圳市后備級高層次人才。曾擔任華為公司業務分析師、項目經理等，具有豐富的管理實踐經歷。目前主持課題包括國家自然科學基金項目、國家社科基金項目、教育部人文社科項目、中國博士后科學基金項目以及多項省市課題，研究團隊成員包括博士后、副研究員、研究生等，研究經費充足，擔任國家自然科學基金通訊評審專家以及多家學術雜志匿名審稿人。相關研究成果獲得教育部第八屆高等學校科學研究優秀成果獎（人文社會科學）二等獎、中國管理現代化研究會學術年會“優秀論文獎”等多個獎項。主要研究方向包括戰略管理、商業倫理、平臺企業管理、產業鏈斷裂與治理等。個人信息主頁：https://ma.szu.edu.cn/jsfc/yuanjingbo_1019240.htm

英文簡介

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

聯系郵箱

zxj@szu.edu.cn

中文簡介

曾憲聚，男，博士（西安交通大學，2008），博士后（香港城市大學，2009）；深圳大學學科建設辦公室主任，管理學教授。

研究興趣：管理認知，制度演化，中國情境下的戰略管理、公司治理、組織變革與領導力等。主持國家自然科學基金3項，其它研究項目10余項，在學術期刊和學術會議上發表論文60篇。入選“深圳市高層次專業人才”（2017），全國首屆（2019）“優秀案例教師”（教育部學位中心），兼任中國戰略管理學會副秘書長。2009-2010年曾工作于中國中化集團辦公廳。

目前在研的國家自然科學基金面上項目：1.企業戰略耐性：理論構建與實證檢驗，2.注意力基礎觀視角下高管團隊戰略反思對企業創新戰略影響的混合方法研究。

英文簡介

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

聯系郵箱

gs@szu.edu.cn

中文簡介

耿爽，博士，深圳大學管理學院管理科學系助理教授，碩士生導師，2018年獲得香港城市大學系統工程與工程管理專業哲學博士學位，英國巴斯大學訪問學者。長期致力于智能推薦和多模態用戶數據挖掘方法的基礎理論研究，并開展了新方法與智慧教育、數字營銷領域前沿課題相結合的交叉創新研究，現主持及參與國家自然科學基金2項、中國博士后基金項目1項、廣東省資助項目3項、深圳市資助項目2項。 以第一作者和通訊作者身份發表SSCI/SCI/CSSCI檢索論文13篇（一作9篇，JCR一區6篇），EI檢索論文5篇，出版專著3部，總學術引用353次，單篇最高引用139次（Google scholar）。

耿爽，博士，深圳大學管理學院管理科學系副教授，碩士生導師，博導。2018年獲得香港城市大學系統工程與工程管理專業哲學博士學位，英國巴斯大學訪問學者。主要研究方向：智能決策系統、醫療數據挖掘、數字化平臺用戶行為（醫療平臺、社交平臺等）等，在IPM、CHB、JMIR、C&E、IR等SSCI/SCI/CSSCI檢索期刊發表近三十篇論文。出版著作三部，獲批專利及軟著三項。主持及參與國家自然科學基金四項（重點項目子課題負責人）、教育部人文社科項目一項、廣東省基金項目二項、市級其他項目三項，完成中國博士后基金項目一項。

英文簡介

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

聯系郵箱

ms.hongwang@szu.edu.cn

中文簡介

近5年主要聚焦于智能優化與管理決策等方面的工作，創新性地提出了一系列新型優化方法，并將提出的新理論新方法應用于管理實踐。具體研究方向包括人工智能、數據挖掘、機器學習、客戶分類、產品推薦、醫療輔助診斷等。在相關領域，發表學術論文40余篇，完成專著或教材2部，主持或參與國家自然科學基金項目4項，廣東省自然科學基金項目2項目，其他市地級項目2項。在學術成果轉換方面，設計并開發了基于群體智能的醫療大數據分析與智能診斷平臺，并授權“基于頭腦風暴算法的醫學特征選擇” 軟件著作權1項，指導團隊參加創新創業比賽獲獎20余項。

英文簡介

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

聯系郵箱

tianwei@szu.edu.cn

中文簡介

   周天薇，助理教授，特聘研究員，深圳大學碩士生導師，深圳大學新銳研究生導師，大灣區國際創新學院特約研究員，健康智能創新研究中心特約研究員，天津大學博士研究生，新加坡國立大學聯合培養博士研究生，2019年度入選深圳“海外高層次人才孔雀計劃”。近年來主持參與國家自然科學基金項目4項，教育部人文社科基金1項，廣東省教育廳重大項目1項，廣東省基礎與應用基礎研究基金項目2項，廣東省哲學社會科學項目1項，深圳市基礎研究面上項目1項。長期從事智能調度、人工智能、信息物理系統、圖像處理等多學科交叉領域的科研工作，近五年發表論文50余篇，在頂級期刊（SCI, TOP, JCR Q1, 中科院一區/二區）發表學術論文10余篇，申請專利15項。

英文簡介

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

聯系郵箱

656441352@qq.com

中文簡介

陳繼紅，男，深圳大學管理學院特聘教授、博士生導師、深圳國際海事研究院院長、國家社科重大項目（海洋強國）首席專家、深圳國家級領軍人才。研究專長包括海運供應鏈和物流管理、港口和航運管理、海運管理和政策。發表了代表性學術論文200余篇，主要論文發表在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等權威學術期刊。主持國際、國家、省級等各類海洋海事項目80余項，獲得政府、行業協會、海事部門等獎項20余項。他現任Ocean and Coastal Management (OCMA)主編、Sustainable Horizons(SH)副主編，以及其他多個期刊的編委，多家海洋學術機構和海事企業的專家成員或學者。

英文簡介

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

聯系郵箱

x.chu@szu.edu.cn

中文簡介

  深圳大學管理學院特聘研究員、博導，大數據智能管理與決策研究院研究員，深圳大學人才辦主任，深圳市高層次專業人才。主持國家級、省級等各類科研基金項目30余項，包括中國國家自然科學基金、美國國家自然科學基金、廣東省自然科學基金、美國梅奧醫學中心、深圳市委市政府等研究咨詢項目。發表國際權威論文40余篇，頂級論文10余篇。主要從事大數據驅動的管理與決策優化，及其在管理及工程等領域的應用。擔任國家自然科學基金通訊評審專家、國際頂級期刊評審人、深圳市政府項目評宙專家。

英文簡介

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

聯系郵箱

xhqian@szu.edu.cn

中文簡介

錢小虎，副教授、特聘副研究員、碩士生導師、留學博士生導師。研究方向包括物流與供應鏈管理、優化理論與決策方法等，主持并參與國家級、省部級等科研項目9項，在國內外知名期刊上發表學術論文30余篇，出版學術專著1部，擔任中國運籌學會行為運籌與管理分會理事，擔任CIE、EJOR等期刊審稿人，入選深圳市高層次人才。

英文簡介

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

聯系郵箱

alig@szu.edu.cn

中文簡介

伽法 阿里 博士在2020年和2021年被美國斯坦福大學和愛思唯爾公司列為世界前2%的研究人員之一。現為深圳大學管理學院副教授。他還擔任四種國際期刊的編輯/編委會成員，包括《自然》雜志組。他的研究專長包括環境經濟學；能源經濟學；雙碳議程；一帶一路協議氣候變化和可再生能源政策。早些時候，他曾為多個國際機構服務，包括亞洲理工學院（AIT）和聯合國-泰國；中國科學院；巴基斯坦費薩拉巴德農業大學；和泰國瑪希隆大學。他是一位經驗豐富的研究員，在研究和教學方面有近10年的經驗。此外，根據科學網（Publons）的數據，阿里博士是世界上1%的頂級同行評審之一。迄今為止，阿里博士已在主流期刊、會議、書籍、書籍章節和工作論文上發表了60多篇研究論文。他的引用次數超過1600次，h指數為22。他獲得了30多個國際學術獎項，包括ScienceDirect、Web of Science、巴基斯坦政府、中國、泰國和美國。

英文簡介

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

聯系郵箱

freewxf@szu.edu.cn

中文簡介

王小峰，男，湖北荊州人，1981年出生。計算機博士、副教授、博導、深圳市醫院管理者協會常務理事，主持參與了深圳市羅湖區、福田區衛生信息化暨數字化醫院項目建設。主持國家與省部級科研項目六項、主編教材/專著七部、發表SCI及國內外核心期刊論文十余篇。主要研究方向：區塊鏈與信息系統、應用數學、管理科學、機器學習與人工智能、網絡新媒體等前沿技術在智能健康管理、智慧產業園/城市、社會創新治理、低碳綠色經濟等領域的應用。

英文簡介

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

聯系郵箱

guohn403@126.com

中文簡介

郭海男老師主要研究領域為基于隨機優化建模和算法設計的生產與復雜服務系統運作管理研究，結合醫療服務系統，包括關鍵醫療資源能力配置研究、手術室資源優化研究、預約調度研究等。研究主題包括但不限于醫療資源優化配置、分級診療、遠程醫療、診療決策優化、醫療大數據分析等。主持多項國家級研究課題，在國內外OR/OM領域頂級學術期刊如《IEEE Transactions on Automation Science and Engineering》、《Omega》、《International Journal of Production Research》、《系統工程理論與實踐》上發表學術論文 30 余篇。招收相關領域（管理科學與工程、工業與系統工程、應用數學等專業方向優先）的博士生從事相關研究工作（計算機、數學好優先）。

英文簡介

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

聯系郵箱

wangyanghim@szu.edu.cn

中文簡介

王旸，助理教授，現任深圳大學管理學院管理科學系副系主任。近年來圍繞人工智能在大健康管理場景下的應用開展交叉學科的研究工作，主要研究興趣包括衛生政策智能評估、醫療健康大數據分析、因果機器學習等。主持國家自然科學基金面上項目1項、青年項目1項，主持教育部人文社科青年項目1項，參與完成科技部國家重點研發計劃項目2項，近三年在SSCI/SCI/CSSCI檢索期刊上發表十余篇論文。

英文簡介

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

聯系郵箱

mylin17@szu.edu.cn

中文簡介

林美燕，（1990- ），女，電子商務系副教授，碩士生導師。2017年畢業于香港城市大學系統工程與工程管理專業，獲博士學位，研究方向主要為養老服務供應鏈管理。近年來在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、管理工程學報 等管理科學權威期刊發表論文。林美燕副教授長期深耕養老領域，研究從兩大方向展開：一是關注養老服務運作管理，重點研究居家養老和機構養老模式下養老機構在“戰略層面長遠部署——戰術層面階段規劃——運作層面日常實踐”的運營管理問題。二是關注適老化產品供應鏈管理，重點研究考慮長者行為和偏好以及適老化產品供應方偏好的適老化產品定價、訂貨、庫存管理等決策。

英文簡介

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

聯系郵箱

yuanyuef@szu.edu.cn

中文簡介

馮元粵，男，博士，副教授，深圳大學博士生導師，博士畢業于新加坡國立大學信息系統專業，深圳大學荔園優青，入選深圳市海外高層次人才“孔雀計劃”、高層次人才（后備級）及南山區“領航人才”。目前擔任管理學院管理科學系系主任、深圳大學創新創業研究中心副主任、大灣區國際創新學院特約研究員。近年來主要從事信息系統、電子商務及創新創業等學科領域的交叉學科應用研究，具體包括智能信息系統用戶行為，游戲化營銷，直播電商、眾籌及眾包管理等，在信息系統、電子商務、創新創業等領域國際權威期刊以及信息系統領域頂級會議（如ICIS、AMCIS、HICSS和PACIS）論文集上發表SCI/SSCI/EI論文40余篇。擔任《International Journal of Information Management》、《Information Systems Journal》、《Computers in Human Behavior》等國際頂級期刊和ICIS、PACIS等國際會議的匿名審稿人，國際信息系統協會AIS會員，中國優選統籌法與經濟數學研究會計算機模擬分會理事。近年來主持國家自然科學基金項目1項、廣東省自然科學基金項目2項、廣東省哲學社會科學基金項目1項，參與多項國家級和省部級的科研項目。獲2023年國際電子商務會議（ICEB）優秀論文獎、2020年中國創新與企業成長（CI&G）學術年會優秀論文獎、2021年度深圳大學教學成果獎、2019、2021年度深圳大學本科教學單項獎（優秀本科教師獎）、騰訊優秀教學管理團隊獎、2022年及2023年全國百篇優秀管理案例獎，主持廣東省研究生教育創新計劃項目（研究生示范課程類）及深圳大學教學改革研究項目。

英文簡介

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

聯系郵箱

xiaofanlai@gmail.com

中文簡介

賴曉凡，深圳大學管理學院教授，博士生導師，管理科學系副系主任，本碩博分別畢業于華南理工大學、中山大學和香港理工大學，畢業后歷任香港科技大學博士后研究員和中山大學副研究員。2021年入選深圳市海外高層次“孔雀計劃”人才（C類），2022年被評為深圳大學“新銳研究生導師”。在IJOC(UTD24)、TRB、EJOR、TRE、IJPE、FEM等運籌學管理科學、交通運輸領域的頂級或權威學術期刊上發表論文近三十篇，主持國家、省部及企業委托等級別的科研與教研項目二十余項，其中國家自然科學基金項目兩項，包括面上項目和青年項目（后評估優秀），擔任國家自然科學基金重點項目子課題負責人，參與十余項國家級、香港特區政府等各類課題，研究成果獲教育部高等學校科學研究優秀成果三等獎、廣東省哲學社會科學優秀成果一等獎、廣東省財政廳2021年財政科研課題結項二等獎、第二十次/第二十二次中國物流學術年會論文三等獎等，申請發明專利兩項（實質審核中）。

感興趣的研究方向：運籌優化、管理科學、人工智能、數據科學的理論與方法及其在智慧城市、智慧企業運營、物流與供應鏈管理、交通運輸管理和旅游管理等方面的交叉應用。

采用的研究方法包括（但不限于）：運籌優化、管理科學、博弈論、人工智能、大數據分析等。

英文簡介

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.