جست‌وجوی استاد و پژوهشگر

肖勇波مشاهده پروفایل

استاد

• Revenue Management
• Pricing Management
• Operations Management
• +۵ مورد دیگر

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 Yanمشاهده پروفایل

استاد

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +۴ مورد دیگر

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.

BAI Yunxiaمشاهده پروفایل

استاد

• Corporate Finance
• Financial Accounting
• Capital Market
• +۳ مورد دیگر

BAI Yunxia is a Professor and PhD Advisor at the School of Economics & Management, Tongji University, where she chairs the Department of Accounting. Her research focuses on Corporate Finance, Financial Accounting, and Capital Markets, with a particular emphasis on State-Owned Enterprises (SOEs) and government policy impacts. Education: PhD, MA, and BS from Xiamen University (2004, 2001, 1995), Postdoctoral Fellow at Peking University (2009). International Experience: Visiting Scholar at the University of Texas at Arlington (2006). Her work explores corporate governance, earnings management, and maturity mismatch in financial systems. Recent publications analyze risk disclosure in IPO pricing, tax policy implications, and SOE performance under government reforms. BAI Yunxia has secured grants from China’s National Natural Science Foundation and the Education Ministry, including projects on financial system transformation and SOE governance. She serves as reviewer for multiple journals and is an Executive Editor of the China Finance Review. Scientific Awards: Best Doctoral Dissertation (Xiamen University), China Accounting Association Prizes (2008, 2005). Her career bridges academia and industry, with prior roles as an Assistant Engineer at Kaiyuan Group and Visiting Scholar at Cheung Kong Graduate School of Business.

• Main Group Chemistry
• Organic Chemistry
• Inorganic Chemistry
• +۴ مورد دیگر

Liu Leo Liu is an Associate Professor and tenure-track faculty member in the Department of Chemistry at Southern University of Science and Technology (SUSTech), Shenzhen, China, leading research on multi-active ambiphilic main group centers. He serves on editorial boards for Chem (2020-2023), European Journal of Inorganic Chemistry (since 2022), Chinese Chemical Letters (since 2022), Inorganic Chemistry Frontiers (since 2024), and Acta Chimica Sinica (since 2024). His educational background includes: B.Sc. in Chemistry, Xiamen University (2007-2011) Ph.D. in Organic Chemistry, Xiamen University (2011-2016) with joint study at UC San Diego (2013-2015) Post-doctoral Fellow, University of Toronto (2016-2019) under Prof. Douglas W. Stephan Post-doctoral Scholar, Lawrence Berkeley National Laboratory & UC Berkeley (2019-2020) under Profs. F. Dean Toste, Kenneth N. Raymond, and Robert G. Bergman Dr. Liu's research pioneers the synthesis of novel ambiphilic compounds across d- and p-block elements, integrating synthetic chemistry, computational modeling, and spectroscopy. His group develops multi-active centers that challenge textbook knowledge while enabling practical applications in catalysis and materials science. Key focus areas include low-valent carbon species, isolable carbenes, and main group element chemistry with inverted electronic configurations. His publication record demonstrates consistent innovation in ambiphilic main group chemistry, with recent breakthroughs in crystalline stannyne, σ0π2 carbenes, and carbyne anions featured in Science, Nature Chemistry, and JACS. These works reveal fundamental principles of bonding and reactivity while expanding synthetic possibilities for unconventional molecular architectures. Significant scientific recognition includes: Chinese Chemical Society Young Chemist Award (2022) Huang Yao-Zeng Metal Organic Chemistry Young Award (2023-2024) Distinguished Lectureship Award from Chemical Society of Japan (2024) Chinese Chemical Society-RSC Young Chemist Award (2024) World's Top 2% Scientists (2024) As a doctoral supervisor, Dr. Liu mentors graduate researchers and received SUSTech's Outstanding Graduate Supervisor Award (2025). His research is supported by National Natural Science Foundation grants including Original Exploration Program, Excellent Youth Fund (Overseas), General Program, and Youth Fund C Project. The LLL group maintains active collaborations with international institutions and contributes to major chemistry conferences through invited lectures on ambiphilic main group chemistry. The LLL group operates as a dynamic interdisciplinary team within SUSTech's chemistry department, combining experimental synthesis with computational analysis to explore frontier areas of main group element chemistry. Their work bridges fundamental discovery and potential applications in catalysis, materials science, and chemical synthesis.

• Intelligent Transportation Systems
• Traffic Network Optimization
• Stochastic Demand Modeling
• +۳ مورد دیگر

Kun An is a Professor at the Department of Traffic Information and Control Engineering within the College of Transportation Engineering at Tongji University. She has previously held academic positions at Monash University (Senior Lecturer, 2018–2019; Lecturer, 2016–2018) and conducted postdoctoral research at the University of Illinois at Urbana-Champaign (2015–2016) and The Hong Kong University of Science and Technology (2014–2015). Her academic journey includes a PhD in Civil Engineering from HKUST (2014) and a Bachelor's degree from Tongji University (2009). PhD: Civil Engineering, The Hong Kong University of Science and Technology (2014) Bachelor's: Transportation Engineering, Tongji University (2009) Dr. An specializes in intelligent transportation systems, focusing on optimizing complex traffic networks, characterizing traveler behavior in stochastic environments, and advancing electric vehicle sharing infrastructure. Her research spans urban transit planning, carsharing logistics, battery electric bus deployment, and real-time traffic signal optimization, with applications to mitigate rail disruptions and enhance multimodal connectivity. Her publications emphasize solving transport challenges through stochastic programming, game theory, and behavioral analysis. Key themes include autonomous vehicle integration, demand uncertainty modeling, and sustainable mobility solutions. Awards include the Hong Kong PhD Fellowship and multiple best paper recognitions. Hong Kong PhD Fellowship (2010–2014) TRBADB30 Best Paper Nomination (2014) Best Paper at 18th Hong Kong Transportation Annual Meeting (Second Author, 2013)

• Supply Chain Management
• Operations Management
• Behavioral Operations
• +۳ مورد دیگر

Ye Qing is a Tenured Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. She has been serving in this position since 2013, after previously working as an Assistant Professor at the same institution from 2007 to 2013. Dr. Ye received her PhD in Industrial and Operations Engineering from the University of Michigan in 2006. Prior to that, she earned a Master of Systems Engineering (2001) and a Bachelor of Automation (1998), both from Tsinghua University. Dr. Ye's research focuses primarily on Supply Chain Management, with special emphasis on behavioral aspects of operations. Her work spans several key areas including Capacity and Inventory Management, Operation Management under Asymmetric Information, and Behavioral Operations Management. She has made significant contributions to understanding how psychological factors influence decision-making in supply chain contexts, particularly in gig economy settings and incentive contract design. Analysis of Dr. Ye's publication record reveals a strong focus on the intersection of operations management and behavioral economics. Her recent work has increasingly examined the gig economy and platform-based work arrangements, while maintaining her foundational research in traditional supply chain dynamics. A notable trend is her methodological approach, which often combines rigorous theoretical modeling with experimental validation. Dr. Ye has taught several key courses at Tsinghua University including Dynamic Programming, Operations Management, Supply Chain Management, and Data, Models, and Decisions, contributing significantly to the education of future business leaders and researchers.

• Mechanism Design
• Auction Theory
• Behavioral Operations Management
• +۳ مورد دیگر

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.

• Green Product Development
• Environmental Performance
• New Product Development
• +۲ مورد دیگر

Dr. Lee Hanna serves as a Lecturer in the Department of Management at Shandong University's School of Management, where she teaches undergraduate Management courses and conducts research in sustainable business practices. Her educational background includes a PhD in Management from Durham University (2014-2018), an MSc in International Management from Strathclyde Business School (2012-2013), and a BA (Hons) in Business from Durham University (2009-2011). Dr. Hanna's research focuses on Green Product Development , Environmental Performance , and New Product Development , with particular emphasis on sustainable innovation frameworks and supply chain dynamics. Her work integrates theoretical perspectives from organizational ambidexterity, resource orchestration, and dynamic capabilities. Analysis of her recent publications reveals a strong trend in green innovation (60% of works), M&A knowledge transfer (20%), and digital transformation (20%), with increasing focus on Chinese manufacturing contexts since 2023. Her research has been published in leading journals including Journal of Manufacturing Technology Management (6 publications), European Management Journal , and Technological Forecasting and Social Change . Dr. Hanna maintains active collaborations with international researchers from UK, South Korea, and China, particularly in studies examining cross-border knowledge transfer and sustainable operations.

• Digital Economy
• Social Welfare
• Consumer Behavior
• +۶ مورد دیگر

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

• Operations Management
• E-commerce
• Logistics and Supply Chain Management
• +۴ مورد دیگر

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.

• Consumer Behavior
• Product and Service Experience
• Decision Science
• +۳ مورد دیگر

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 Xunhuaمشاهده پروفایل

استاد

• Management Information Systems
• E-commerce
• Social Networks
• +۴ مورد دیگر

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.

• Neutron and X-ray diffraction
• Neutron imaging
• Solid-state batteries
• +۵ مورد دیگر

Songbai HAN is a Research Professor and Assistant Dean at the Institute of Frontier and Interdisciplinary Sciences, Southern University of Science and Technology (SUSTech). He also serves as Director of the Neutron Science Center, Director of the Shenzhen Key Laboratory of Solid-State Battery R&D, and Deputy Director of the Guangdong-Hong Kong-Macao Joint Laboratory of Photothermal Energy Materials and Devices. With over 20 years of experience in neutron scattering and large scientific facility construction, he has led national projects and built four neutron spectrometers at CARR and CSNS. Education: Ph.D. in Inorganic Chemistry, Graduate School of Chinese Academy of Sciences (2006) M.S. in Analytical Chemistry, Jilin University (2003) B.S. in Chemistry, Jilin University (2000) Research Interests: Prof. HAN's research focuses on neutron/X-ray diffraction and imaging for advanced functional materials, including solid-state batteries, gas hydrates, rare earth magnets, and MOFs. He develops neutron imaging techniques for non-destructive testing and energy material diagnostics. Awards & Honors: Beijing Science and Technology Progress Award (Second Prize), 2022 China Patent Excellence Award, 2022 Shenzhen Nanshan High-Level Talent, 2023–2026 Grants & Projects: Led over 300 million RMB in research funding Project leader for two Ministry of Science and Technology Key R&D projects Major Shenzhen technical research project on photon-counting CT (25 million RMB) Labs & Facilities: He directs the Shenzhen Materials Genome High-Pressure Neutron Spectrometer and the Neutron Science Center, enabling cutting-edge research in materials, physics, chemistry, and energy under extreme environments.

• Empirical Operations Management
• Healthcare Operations Management
• OM/Information Systems Interface
• +۵ مورد دیگر

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.

• Retail Operations
• Operations Management
• Supply Chain Management
• +۳ مورد دیگر

HU Honggang is an Assistant Professor at the Advanced Institute of Business (AIB), Tongji University, since October 2022. He holds a Ph.D. in Operations Management from the University of Florida and has academic backgrounds in Computer Science (M.S.) and Mathematics (B.A.). Education : Ph.D. in Operations Management, Warrington College of Business, University of Florida, 2022 M.S. in Computer Science (Computational Operations Research), College of William and Mary, 2017 B.A. in Mathematics and Applied Mathematics, Shanghai University, 2015 His research focuses on interdisciplinary topics bridging Retail Operations, Operations Management-Marketing/Information Systems (OM-Marketing/IS Interface), Supply Chain Management, Behavioral Economics, and Sustainability & Social Responsibility. His work examines pricing strategies, product substitutability, distribution models, and robust optimization methods. The articles in his profile highlight trends in Supply Chain Management, particularly Retail Pass-Through dynamics, Distribution Channels, and Robust Optimization. These studies integrate analytical frameworks with real-world retail and supply chain challenges. Scientific Awards & Grants : Shanghai Lingjun Talent (Overseas) – Youth Program, 2023 NSFC Youth Program Grant #72401218 (Supply Chains in Modern Retailing), PI, 2025–2027 Supply Chain Management (SCM) Center Research Grant, University of Florida, 2022 COR Graduate TA Teaching Award, College of William and Mary, 2017 HU Honggang has taught courses such as Principles of Management – Management in China at Tongji University, Managerial Operations Analysis II at the University of Florida, and Brief Calculus with Applications at the College of William and Mary. He has served as a Conference Session Chair and Journal Reviewer for leading operations and management science conferences and journals.