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Professor Song Weiguo serves as a full-time faculty member at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC) in Hefei, where he has held a Professorship since 2010 following his Associate Professorship (2003-2010) and postdoctoral fellowship at USTC's Department of Statistics and Finance (2001-2003). His international research experience includes a Guest Researcher position at the U.S. National Institute of Standards and Technology (NIST) during 2006-2007. His educational foundation comprises a PhD from USTC (2001) and specialized postdoctoral training in statistical finance. Research interests focus on pedestrian evacuation dynamics, fire system criticality, performance-based building fire protection, and remote sensing fire monitoring, with particular emphasis on complex systems modeling of crowd behaviors and fire spread phenomena. Analysis of his 2007-2011 publications reveals a dominant trend in microscopic pedestrian dynamics (60% of works), especially bottleneck flow, counter-flow, and exit selection behaviors, complemented by fire monitoring via remote sensing (22%) and weather-fire interaction modeling (18%). This portfolio demonstrates rigorous integration of experimental validation with computational modeling across fire safety disciplines. His scientific recognition includes: Huaxia Construction Award for Science and Technology (First-class, 2010) Lu Jia Xi Youth Excellence Prize (Chinese Academy of Sciences, 2009) National Liangxi Forestry Science and Technology Progress Award (Second-class, 2007) National Science and Technology Progress Award (Second-class, 2006) Chinese Academy of Sciences President Award Excellence (2001) Professor Song has secured significant research funding as principal investigator for three National Natural Science Foundation projects, three National Key Technologies R&D Program grants, and additional awards from the Ministry of Science and Technology and Ministry of Education. His role as Communication Expert for China's National Natural Science Foundation and reviewer for top journals like IEEE Transactions on Intelligent Transportation Systems reflects his leadership in fire safety science. Current projects likely involve mentoring graduate students through USTC's laboratory infrastructure. He remains actively engaged at USTC's State Key Laboratory of Fire Science, which serves as China's primary hub for interdisciplinary fire research, collaborating with international bodies like the International Association of Fire Safety Science while advancing evacuation modeling and fire monitoring technologies.

• Pedestrian and evacuation dynamics
• Self-organized criticality of fire system
• Performance-based fire protection design of buildings
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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.

• Systems engineering
• Enterprise operations management
• Supply chain coordination and optimization
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Yang Liu is a Tenured Associate Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, concurrently serving as an Adjunct Associate Professor at Johns Hopkins School of Public Health since 2018. His academic trajectory includes progression from Assistant Professor (2010-2014) to Associate Professor (2014-present) at Tsinghua, reflecting sustained scholarly impact in operations research and management science. Education: PhD in Decision Sciences, Duke University (2010) MS in High Performance Computing, National University of Singapore (2004) BE in Electronic Information Engineering, Tsinghua University (2003) Professor Liu's research integrates queuing theory, behavioral economics, and data analytics to solve critical problems in digital economies and healthcare systems. His work examines customer behavior in multi-channel retail, live-streaming commerce dynamics, and pandemic resource allocation, emphasizing practical applications of operations management principles. Recent projects focus on algorithmic recommendations in live-streaming platforms and data-sharing value for small businesses on digital marketplaces. His publication pipeline shows strong momentum with four 2024 working papers targeting Management Science, examining live-streaming e-commerce, Cournot competition, and digital platform analytics. This builds on established work in service operations (2023), mobile commerce (2020), and healthcare resource allocation (2009), demonstrating consistent evolution from theoretical foundations to contemporary digital economy challenges. Scientific Awards: Johns Hopkins Teaching Excellence Award (2019) Tsinghua Advanced Worker Award (2013) Duke Doctoral Scholarship (2004-2009) Singapore Government Scholarship (2003-2004) Professor Liu actively mentors graduate students through doctoral seminars and advanced statistics courses while maintaining robust industry collaborations, particularly with Alibaba. His role as Associate Editor for Management Science underscores his academic leadership. Current research focuses on behavioral operations in digital platforms, supported by active working papers under review at top journals, indicating substantial ongoing research activity and funding. Though no dedicated lab is specified, Professor Liu leads research within Tsinghua's Department of Management Science and Engineering, leveraging cross-institutional partnerships with Johns Hopkins and industry players like Alibaba to advance data-driven operations management in rapidly evolving digital ecosystems.

• Operations Research
• Operations Management
• Queuing Theory
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Liu Hanlin is an Assistant Professor at the School of Business, Southern University of Science and Technology (SUSTech), appointed in 2020. He also serves as a Doctoral Supervisor. His previous position was as a Postdoctoral Researcher at the University of Minnesota (2018-2020). Dr. Liu holds a Ph.D. in Systems Engineering and Engineering Management from City University of Hong Kong (2018) and a B.S. in Mathematics from the University of Science and Technology of China (2014). His educational background: Ph.D., Systems Engineering and Engineering Management, City University of Hong Kong, 2014-2018 B.S., Mathematics (Special Class for the Gifted Young), University of Science and Technology of China, 2010-2014 Dr. Liu's research centers on Operations Management and Operations Research , with core interests in: Cooperative Game Theory and its applications Service and Queueing Systems Sharing Economy He applies advanced mathematical models to address challenges in service operations, healthcare, and sharing platforms, aiming to design efficient and incentive-compatible systems. In 2022, Dr. Liu published three articles in premier journals including Management Science and Manufacturing & Service Operations Management . His work explores cooperative game theory for service operations, cost-sharing mechanisms, and vehicle sharing system design, highlighting a consistent focus on optimization and game-theoretic solutions for real-world operational problems. Dr. Liu has not been listed with any specific scientific awards in the provided information. As a Doctoral Supervisor, Dr. Liu mentors doctoral students and recruits research assistants and postdocs. His research group seeks candidates with strong mathematical foundations in quantitative fields. While specific grants are not detailed, his publications in top journals suggest active research funding. Dr. Liu leads a research group that collaborates internationally, as seen in co-authorships with researchers from the University of Minnesota and other institutions. The group focuses on advancing operations research methodologies for emerging challenges in the sharing economy and service sectors.

• Cooperative Game Theory
• Service Operations
• Queueing Systems
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