Professor Yongbo Xiao serves at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. His academic journey includes a BEng in Management Information Systems (2000), Master/PhD in Management Science and Engineering (2006), and postdoctoral research in applied economics at Tsinghua University. 2000: BEng in Management Information Systems 2006: Master/PhD in Management Science and Engineering 2006-2008: Postdoctoral Fellow in Applied Economics His research spans revenue management, pricing strategies, operations/supply chain management, and service systems. Recent work explores live-streaming e-commerce dynamics, supply chain resilience, and platform co-opetition models. Articles appear in top journals including Operations Research , Production and Operations Management , and Naval Research Logistics . Notable awards include National Natural Science Foundation Outstanding Young Scholars Fund, Changjiang Scholar Young Scholars recognition, and multiple Tsinghua University teaching/research honors. He serves as Associate Editor-in-Chief for Naval Research Logistics and Executive Editor for Journal of Systems Science and Systems Engineering . 2024: China Aviation Association Second Prize 2023: Huawei Collaborative Innovation Award 2022-2024: Tsinghua EMBA/Executive Education Teaching Excellence Professor Xiao teaches undergraduate Operations Research, Master's-level Operations Research & Optimization, and MBA courses including Data Models & Decisions, Operations Management, and ESG Frontier Exploration. His work bridges theoretical operations research with practical applications in digital commerce and supply chain innovation.
Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.
Xiaoshuai Fan is an Associate Professor at the College of Business, Southern University of Science and Technology, where she has been affiliated since 2020. Her academic background includes a PhD in Industrial Engineering and Logistics Management from HKUST (2020) and a Bachelor's in Management from Huazhong University of Science and Technology (2015). Education: PhD (2020), Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology Bachelor (2015), Management, Huazhong University of Science and Technology (Management Innovation Experimental Class) Her research focuses on Mechanism Design and Auction Theory under asymmetric information, with applications to Behavioral Operations Management , Sustainable Operations (particularly poverty, income inequality, and carbon emissions), and Supply Chain Management . Recent work explores pay transparency in behavioral economics, carbon emission control through price commitments, and anti-corruption strategies in procurement systems. The 15 most recent publications highlight trends in asymmetric information theory , collusion-resistant contract design , and equity-focused operations research . Key journals include Management Science , Production and Operations Management , and Manufacturing & Service Operations Management . She serves as a doctoral supervisor and has secured research funding from the NSFC Outstanding Young Scholars Program , NSFC Youth Program , and the Shenzhen Science and Technology Innovation Commission . Her lab actively recruits research assistants and postdocs, emphasizing interdisciplinary collaboration in economic, mathematical, and computational fields.
Dr. Shaobo (Kevin) Li is a Tenured Associate Professor at the School of Business, Southern University of Science and Technology (SUSTech), with secondary appointment in the Department of Information Systems & Management Engineering. He holds a PhD in Business Administration from Nanyang Technological University (2019), Master of Business Administration (University of Virginia, 2014), Master of Finance (West Virginia University, 2012), and Bachelor of Business Administration (Lanzhou University, 2011). National High-Level Youth Talent Program awardee Overseas High-Caliber Personnel in Shenzhen City Recipient of 2018 China Scholarship Council’s Excellent Self-Funded Student Scholarship His research focuses on the intersection of digital economy, social welfare, and technology-driven marketing, employing experimental methods, empirical models, and neuroscience. He serves as Associate Editor for the Journal of Business Research and has published in top UTD-24 journals including Journal of Consumer Research, Information Systems Research, and Production and Operations Management. His work examines platform economics, brand management during crises, and consumer behavior related to AI, sustainability, and health decisions. He has led 10+ research projects (National Natural Science Foundation, Ministry of Science and Technology 2030 Program) and received multiple research awards, including Academy of Marketing Science Best Doctoral Dissertation Proposal Award (2019) and Best Paper Awards at China Marketing Science (2020,2024), China Marketing International Conference (2023), and CMAU Annual Conference (2023,2024). Teaching accolades include SUSTech’s Premier Teaching Award, Top 10 Most Popular Professor among undergraduates, and Nanyang Business School’s Best Graduate Teaching Award (2017). Teaches Financial Marketing (undergraduate) Teaches Frontiers of Management & Research Methods (PhD) Actively recruiting research assistants, postdocs, and joint PhD candidates with Hong Kong Polytechnic University
DAI Jiansheng is a Chair Professor at Southern University of Science and Technology (SUSTech) and Director of the Robotics Research Institute. He is a Fellow of the Royal Academy of Engineering (FREng), Fellow of the Academia Europaea, and holds multiple fellowships including IEEE, ASME, RSA, and IMechE. As Editor-in-Chief of the international journal Robotica, he has established himself as a leading authority in mechanisms and robotics research. His educational background includes a PhD from the University of Salford (1989-1993), a Master's degree from Shanghai Jiao Tong University (1982-1984), and a Bachelor's degree from the same institution (1978-1982). His academic journey has taken him from postdoctoral work at Salford University to research positions at Unilever Liverpool Research Centre before becoming a faculty member at the University of Sunderland and ultimately King's College London, where he served as Reader and then Chair Professor from 2007 until his current position at SUSTech. Professor Dai's research spans theoretical kinematics, screw theory, Lie algebra, and their applications to metamorphic and reconfigurable mechanisms. His pioneering work bridges the gap between versatile but expensive robots and efficient but non-flexible machines. His research interests include origami-inspired robotics, rehabilitation robotics for ankle treatment, soft robotics, and industrial applications in packaging and manufacturing. His theoretical framework has enabled significant advances in reconfigurable parallel mechanisms and metamorphic robotics. His extensive publication record shows a clear progression from fundamental theoretical work on screw algebra and Lie groups to practical applications in rehabilitation, manufacturing, and soft robotics. Recent publications demonstrate increasing focus on soft robotics, variable stiffness actuators, and continuum robots with Shape Memory Alloy applications, while maintaining strong theoretical foundations in screw theory and kinematic analysis of metamorphic mechanisms. ASME Mechanisms and Robotics Award (2015) ASME Machine Design Award (2020) IFToMM Excellence Award (2023) Tianjin Municipal Natural Science First Prize (2021) Crossley Award (2018) AT Yang Award in Theoretical Kinematics (2019) Professor Dai has supervised over 50 PhD students who now hold faculty positions at world-leading universities including University College London, Queen Mary University London, Purdue University, and Wollongong University. His research has been supported by numerous grants enabling the establishment of advanced robotics laboratories and international collaborations. He founded the IEEE Triennial International Conference on Reconfigurable Mechanisms and Robots (ReMAR), creating a major platform for international scholarly exchange in this specialized field. His research group maintains strong industry partnerships with companies including Cambridge Consultants, Goldman Sachs, and Amazon. The Robotics Research Institute he directs at SUSTech serves as a hub for interdisciplinary research, bringing together experts in mechanical engineering, computer science, biomedical engineering, and materials science. The institute focuses on both fundamental theoretical advances in mechanism design and practical applications in healthcare, manufacturing, and service robotics, with particular emphasis on metamorphic and reconfigurable systems that can adapt to multiple tasks.
Hu Yihong is an Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management, Tongji University . With a Ph.D. from Fudan University (2009) and a B.Eng. from Shanghai Jiaotong University (1999) , Hu's academic journey spans over a decade in operations management research. 2009-2024: Assistant Professor at Tongji University 2025-Present: Associate Professor at Tongji University 2015-2016: Visiting Scholar at Pennsylvania University and University of Texas at Dallas Her research focuses on Operations Management in e-commerce and logistics delivery , particularly Logistics and Supply Chain Management . Recent work explores platform strategies, personalized pricing, and network equilibrium models with applications in online shopping and transportation systems. Key article trends include network optimization in supply chains, game theory for service provider competition, and sustainability practices in digital marketplaces. Her 2024 publications address platform vertical differentiation and data-driven pricing strategies, building on earlier works in maritime logistics, congestion pricing, and multiclass traffic equilibrium. Scientific Recognition : NSFC Youth Project (2011) Shanghai Pujiang Plan (2017) Central University Basic Research Grant (2014) Education Minister's New Teacher Project (2010) Tongji University Excellent Youth Teacher Project (2009) Hu has served as a reviewer for journals like Production and Operations Management , Transportation Research , and Omega . Her work combines empirical analysis with theoretical modeling, addressing both consumer behavior and network structure optimization challenges.
Maggie Wenjing Liu is a tenured Associate Professor in the Department of Marketing at Tsinghua University's School of Economics and Management (SEM). She holds leadership roles as Associate Director of the Computational and Behavioral Science Lab and China Retail Research Center, and Chair of the Marketing Department's Academic Seminar Committee. Education: Ph.D. in Marketing, Rotman School of Management, University of Toronto M.S. in Marketing, NUS Business School, National University of Singapore Bachelor in Economics, University of International Business and Economics Research Focus: Her work centers on consumer behavior , product/service experience , decision science , and pricing , examining psychological mechanisms through experimental and analytical methods. Key themes include ritualistic consumption, AI-human interaction in marketing, visual branding effects, and cross-cultural service responses. Publication Trends: Recent work (2017-2025) appears in top journals like Production and Operations Management (UTD) and Journal of Consumer Psychology (FT50), revealing strong interdisciplinary connections between behavioral science, marketing strategy, and data-driven consumer insights with increasing focus on AI applications and crisis response. Scientific Awards: National Natural Science Foundation Youth Project Outstanding Evaluation (2017) National Natural Science Foundation General Project Outstanding Evaluation (2021) Tsinghua University teaching reform project Grade A (2020) Beijing Higher Education Young Elite Scholar Award Two-time Outstanding Expert Reviewer (Journal of Marketing Science) Society of Asian Retailing and Distribution Best Paper Award Advising & Grants: As a doctoral advisor, she mentors PhD candidates who frequently co-author publications. She secured three National Natural Science Foundation General Programs, one Youth Project, three provincial/ministerial grants, and multiple Tsinghua projects, with two NSFC projects rated Outstanding upon completion. Labs & Leadership: She co-directs Tsinghua SEM's Computational and Behavioral Science Lab and China Retail Research Center, driving research at the intersection of marketing analytics, consumer neuroscience, and retail innovation while serving on editorial boards for Marketing Letters and Journal of Business Research .
Guo Xunhua is a Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. He serves as Party Branch Secretary and holds significant leadership roles including Executive Director and Secretary-General of the China National Association for Information Technology (CNAIS), Vice President of the China Society of Information Economics, and Secretary-General of the Information Management Committee of the China Management Modernization Research Association. His educational background includes dual bachelor's degrees in Management Information Systems and Computer Science and Technology from Tsinghua University (2000), followed by master's and doctoral degrees in Management Science and Engineering from the same institution (2005). He has been teaching at Tsinghua since 2005 and maintains international academic connections through visiting positions at RWTH Aachen University and MIT Sloan School of Management. Guo's research spans Management Information Systems, E-commerce, Social Networks, and Business Intelligence, with a focus on business intelligence methods in internet environments and behavioral patterns under emerging information technologies. His work integrates both 'technology' and 'behavior' perspectives within information systems research. His recent publications reveal a strong trend toward AI applications in e-commerce, personalized recommendation systems, social commerce dynamics, and the psychological aspects of digital interactions. Ministry of Education Changjiang Scholar Young Scholar (2019) Ministry of Education Outstanding Achievement Award for Scientific Research in Humanities and Social Sciences Beijing Philosophical and Social Sciences Outstanding Achievement Award Beijing Higher Education Teaching Achievement Award Multiple Tsinghua University Teaching Achievement Awards Professor Guo serves as Assistant Editor-in-Chief of the Journal of Information Systems and sits on editorial boards for international journals including Information Technology & People, Electronic Commerce Research, and Journal of Global Information Management. His teaching portfolio includes graduate courses in IT and Organization, and undergraduate courses in Principles of Computer Systems, Management Information Systems, and Introduction to Management Science and Engineering Research.
Yao Li is an Assistant Professor at the Department of Information Systems and Management Engineering within the College of Business at Southern University of Science and Technology (SUSTech). She joined SUSTech in 2021 after completing her doctoral studies at Tsinghua University and has established herself as a rising scholar in operations management with a focus on healthcare applications. Education: Ph.D. in Management Science and Engineering, Tsinghua University (2015-2021) CSC Jointly Trained Doctoral Student, Purdue University Krannert School of Management (2018-2019) B.S. in Industrial Engineering, Beihang University (2011-2015) Dr. Li's research sits at the intersection of operations management and information systems, with particular emphasis on healthcare operations. Her work investigates how information technology impacts healthcare delivery systems, especially in areas like interhospital patient transfers, health IT interoperability, and the application of network analysis to healthcare systems. She also explores broader applications of operations management principles in sustainable manufacturing and new energy vehicle industries. Her research methodology combines empirical analysis with network science approaches to examine complex operational systems. Her publication record demonstrates a clear trajectory from manufacturing supply chains toward healthcare operations, with recent work focusing on health information exchange, patient care seeking behavior, and the impact of digital technologies on healthcare delivery. This evolution reflects both her growing expertise and the increasing importance of digital health systems in modern healthcare. Scientific Awards: Finalist for Best Paper Award & Best Student Paper Award at INFORMS CIST 2020 Best CTO Division Paper at Academy of Management First prize in SUSTech Young Faculty Teaching Competition Outstanding Graduate of Beijing Outstanding Doctoral Dissertation at Tsinghua University Dr. Li currently leads multiple research projects including a National Natural Science Foundation of China Youth Project on data-driven regional collaborative medical service research for cardiovascular diseases (2024-2026), a Shenzhen Science and Technology Innovation Commission project on new energy vehicle consumption markets, and a Shenzhen Excellent Science and Technology Innovation Talents project on complex network analysis applications. Her research funding demonstrates strong institutional support for her work at both national and municipal levels. Her research appears to be conducted through interdisciplinary collaborations, often working with colleagues from healthcare institutions, engineering departments, and business schools to address complex operational challenges in healthcare delivery systems and manufacturing networks.
Zheng Xiaochen serves as an Assistant Professor at Southern University of Science and Technology's School of Automation and Intelligent Manufacturing, bringing expertise from his PhD at Madrid's Polytechnic University and postdoctoral research at EPFL's ICT4SM lab. His work bridges academic research with industrial applications through EU-funded projects and global standardization initiatives. His educational foundation includes: PhD in Industrial Engineering, Polytechnic University of Madrid (2019, Cum Laude) Visiting Scholar, Copenhagen Business School (2018) MS in Manufacturing System Information Engineering, Shandong University (2012) BS in Mechanical Design, Shandong University (2009) Research centers on cognitive digital twins and ontology-driven manufacturing systems , with emphasis on translating theoretical frameworks into industrial solutions. His Model Based Systems Engineering approaches enable real-time decision-making in aircraft production and CNC machining, while semantic modeling creates interoperable knowledge bases for zero-defect manufacturing. Current work integrates AI with physical production systems to close the loop between digital models and shop-floor operations. Publication analysis reveals consistent focus on cognitive digital twin applications (43% of recent output), ontology engineering for aerospace (29%), and MBSE frameworks for production scheduling (28%), demonstrating strategic alignment with Industry 4.0 priorities and EU manufacturing initiatives. Key recognitions include: Polytechnic University of Madrid's Outstanding Doctoral Dissertation (Cum Laude) International Journal of Production Research Top Cited Paper Award Funding leadership spans multiple EU Horizon 2020 projects including QU4LITY (H2020 825030), lBOOST 4.0 (780732), and OntoCommons (958371), with direct industry partnerships at Airbus and Siemens. He chairs the Industrial Ontologies Foundry's Product Service System working group while contributing to CEN-CENELEC's Zero-Defect Manufacturing standardization efforts. As director of SUSTech's cognitive manufacturing research unit, he coordinates cross-disciplinary teams developing ontology-based frameworks for digital twin implementations, with active collaborations spanning the EU-China Manufacturing Innovation Platform and Shenzhen's smart manufacturing industrial cluster.
Chen Pingping is an Assistant Professor at the School of Management, Shandong University , focusing on platform operations management, supply chain dynamics, and the intersection of business operations with marketing strategies. Her work addresses complex decision-making in digital and traditional retail ecosystems. Doctor of Management (2021) and Bachelor of Management (2016) from Tianjin University and Dalian Maritime University respectively Principal Investigator for National Natural Science Foundation of China Young Scientists Fund Project Research interests include: Platform operations management Integration of business operations and marketing Supply chain optimization under uncertainty Digital transformation of enterprise logistics Recent publications analyze pricing mechanisms (Omega), shipping supply chain innovations (Transportation Research Part E), online-offline channel synergies (European Journal of Operational Research), and asymmetric information impacts (IEEE Transactions on Fuzzy Systems). Key themes involve retail competition , gift card economics , and service upgrades in maritime logistics . Notable scientific contributions : NSFC-funded research on e-commerce channel strategies under customer perceived value Game theory models for vertically-related markets Fuzzy system applications in promotion decision-making Teaching portfolio includes Supply Chain Finance , Supply Chain Resource Planning , and Management Decision Analysis . Collaborations span multiple institutions through Shandong University's international partnerships.
Chen Zhenhua is a Lecturer at Shandong University's School of Management, specializing in corporate governance and strategic management. He holds a PhD in Management and teaches core courses including Management, Corporate Strategic Management, Operations Management, and Business Decision-Making Simulation Sandbox. Education: PhD in Management Research Interests: Dr. Chen's scholarly work centers on corporate governance mechanisms and strategic adaptation in dynamic business environments. His investigations span related-party transactions, enterprise strategic modeling under economic transitions, and cross-national comparisons of independent director systems, with strong emphasis on empirical analysis of Chinese corporate practices. Publication Trends: His research output consistently addresses governance and strategy challenges in Chinese enterprises, featuring critical analysis of transaction economics (2005), strategic model evolution amid environmental shifts (2005), and institutional comparisons of director systems (2004). These works demonstrate practical applications bridging academic theory and corporate implementation. Awards: Second Prize of Shandong Provincial Teaching Achievement Award First and Second Prizes of Shandong University Teaching Achievement Award Excellent Instructor in the 7th “Challenge Cup” Shandong University Student Entrepreneurship Plan Competition Excellent Instructor of Shandong University Student Social Practice Activities First National Outstanding Experimental (Practical Training) Teacher Award Grants and Industry Engagement: Dr. Chen has secured provincial and ministerial research funding while providing extensive management consulting services. He has led strategic planning, corporate culture development, and management standardization initiatives for major enterprises including Hisense Group, Yankuang Group, and Shandong Xinhua Bookstore. His executive training programs have benefited dozens of companies across diverse sectors through tailored seminars on strategic management and operational excellence.
Chen Jian is the Lenovo Chair Professor at the School of Economics and Management, Tsinghua University , and Director of the Ministry of Education Key Research Base for Humanities and Social Sciences . With a career spanning over 30 years at Tsinghua, he has held multiple leadership roles in academic societies, including Vice Presidency in four top-tier Chinese academic societies and editorial positions in over ten international journals. Research Focus: Systems engineering, supply chain optimization, and decision theory Courses Taught: Dynamic systems analysis and control, operations management His scientific contributions include over 200 publications and 50 major projects, with significant impact in operations management, supply chain coordination, and emerging business models. He has trained numerous doctoral students and received prestigious accolades like the National Science Fund for Distinguished Young Scholars and IEEE Fellow status.
Sun Jing is an Associate Professor at the Department of Management Science and Engineering, School of Economics and Management, Tsinghua University. Her research spans strategic decision-making, service operations management, statistical data mining, and total quality management. She has extensive academic leadership experience, including roles in ISO standardization committees and the Chinese Quality Association. Ph.D. in Management from Beijing University of Aeronautics and Astronautics (1999) M.Sc. and B.Sc. in Technology Economics & Systems Engineering from Tianjin University (1994, 1991) Her recent work focuses on statistical process control for autocorrelated systems, Six Sigma methodologies, and healthcare quality management. She has received multiple national awards for her contributions to quality engineering and education, including the National Standardization Innovation Contribution Award (2014) and Ministry of Education Humanities and Social Sciences Research Award (2009). ISO/TC69/SC7/WG2 Chair (2017–Present) Former ISO/TC69/SC7 Chair (2008–2016) Keynote speaker at international conferences (INFORMS, Korea-China Quality Symposium) She has led technical reports on higher education quality, two-sigma integration performance evaluation, and case studies for organizations like Beijing Daxing International Airport. Her teaching includes courses on data modeling, quality management, and decision analytics.
CHEN Jun serves as an Associate Professor and Administrative Office Chief at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC), a position held continuously since 2003. The laboratory operates as China's premier national research center for fire science under USTC's institutional framework. Education Bachelor of Science, Anhui University, 1998 Research Focus His work centers on fire science fundamentals including combustion mechanisms, thermal fluid dynamics, and fire hazard mitigation strategies. The research directly supports national fire safety standards development through experimental and theoretical analysis of fire behavior in complex environments. Administrative Leadership As Administrative Office Chief, he manages all operational aspects of the State Key Laboratory including facility coordination, budget oversight, and research support services. His leadership ensures seamless integration between experimental facilities and academic research activities within China's national fire science infrastructure. Contact Email: junchen@ustc.edu.cn Telephone: (+86)551 63601651 Address: State Key Laboratory of Fire Science, University of Science and Technology of China, Jinzhai Road 96, Hefei 230026, Anhui, P.R. China
