جست‌وجوی استاد و پژوهشگر

Min DINGمشاهده پروفایل

دانشیار

• Planetary Geodynamics
• Lithospheric Dynamics
• Gravity Inversion Methods
• +۴ مورد دیگر

Min DING is an Associate Professor at the Department of Earth and Space Sciences, Southern University of Science and Technology , where he joined in November 2023. His research investigates the interaction between tectonic evolution and catastrophic processes on terrestrial planets through computational geodynamics and geodetic observations . Previously, he served as Assistant/Associate Professor at Macau University of Science and Technology (2019-2023) and conducted postdoctoral research at MIT (2015-16) and Peking University (2017-19). Education: B.S. (2009, USTC), PhD (2014, MIT/WHOI) Research Interests include: planetary lithospheric dynamics, gravity inversion methods, impact/volcanic/earthquake processes, AI applications in geological structure identification, and model-data fusion. His work spans multi-scale geodynamics from minutes to millions of years. Publication Trends reveal expertise in Lunar impact basin relaxation Martian lithospheric strength variations AI-driven crater detection Mantle overturn mechanisms Geophysical data joint inversion Glacial-tectonic interactions Advising notable graduate students including Xiao-Zhou Luo, Xiao-Lin Cui, and Xin Xi.

• Data-driven decision optimization
• Supply chain management
• Emergency management
• +۵ مورد دیگر

Professor Yu Guodong is a faculty member in the Department of Project Management and Industrial Engineering at Shandong University's School of Management. He holds the title of Qilu Young Scholar and leads an excellent young innovation team. His research focuses on data-driven decision optimization , particularly in small data environments, with applications in supply chain management, emergency response, and industrial systems. He has pioneered methods like Wasserstein distributionally robust optimization and fairness-aware resource allocation frameworks. His work addresses challenges in high-end manufacturing, emergency logistics, and low-probability event scenarios. Yu has published extensively in top-tier journals including Manufacturing & Service Operations Management , Production and Operations Management , and INFORMS Journal on Computing . He has secured 12 national and provincial grants, including key projects from the National Natural Science Foundation of China. Collaborations with industry leaders like Weichai Power and Jereh Petroleum Equipment demonstrate his applied research impact. His team develops computationally efficient algorithms (e.g., Benders decomposition, Branch-and-Benders-cut) to solve complex optimization problems under uncertainty. Notable contributions include integrating inverse optimization with historical data for contract pricing, quantifying fairness-efficiency trade-offs via robust optimization, and designing resilient service networks for emergencies. His research bridges theoretical advancements and practical implementation, enhancing decision-making resilience in data-scarce scenarios.

Chen Guoqingمشاهده پروفایل

استاد

• Business Intelligence
• Big Data Analysis
• E-commerce
• +۴ مورد دیگر

Chen Guoqing is a Professor and Senior Professor of Humanities at Tsinghua University's School of Economics and Management, where he serves as Deputy Director of the Academic Committee. He chairs the National Natural Science Foundation of China's Big Data Major Research Program Guidance Expert Group and directs the Ministry of Education's Higher Education Management Science and Engineering Professional Teaching Guidance Committee, with additional roles on national informatization and New Liberal Arts committees. Education: Bachelor's Degree, Renmin University of China (1982) Master's Degree, University of Leuven, Belgium (1988) Doctorate, University of Leuven, Belgium (1992) Research Focus: Professor Chen pioneers research in Business Intelligence and Big Data Analysis, developing frameworks like PAGE for data-driven decision-making. His work spans E-commerce, IT Strategy, and Fuzzy Logic, with recent emphasis on personalized recommendation systems, online consumer behavior, and AI-human collaboration in business contexts. His publications reveal a trajectory from foundational fuzzy logic research to cutting-edge big data applications, consistently bridging technical innovation with managerial relevance. Awards: AIS Fellow (first from mainland China) IFSA Fellow Fudan Management Outstanding Contribution Award Changjiang Scholar Distinguished Professor National Science Fund for Distinguished Young Scholars National Outstanding Doctoral Dissertation Advisor Leadership: As former Executive Vice Dean of Tsinghua SEM and Vice President of IFSA, he has shaped academic policy globally. He leads major NSFC projects and international collaborations while advising government bodies on informatization strategy. His teaching includes national-level courses like "Management Information Systems" and "Management in the Big Data Era."