Ai, Society and Digital Transformation: Proceedings of 2025 Informs Conference on Service Science, Oxford, Uk, July 1-3, 2025
暫譯: 人工智慧、社會與數位轉型：2025年英國牛津服務科學會議論文集，2025年7月1日至3日

Xiaolei Xie is an Associate Professor in the Department of Industrial Engineering, Tsinghua University. His research focuses on the intersection of data science, operations research, simulation, and healthcare management. He has published over 30 international academic papers, with some of his work highlighted by academic organizations as outstanding contributions and selected as best papers of the year. He has received the Tsinghua University Outstanding Performance Award and the Annual Teaching Excellence Award.

Kejia Hu is an Associate Professor of management science at Saïd Business School, University of Oxford, UK and a Governing Body Fellow at Exeter College. Her research focuses on the integration of artificial intelligence (AI) with human decision-making in operations, aiming to transform real-world practice. By leveraging AI-driven data analytics, she develops innovative solutions to enhance resilience, operational efficiency, and service delivery in complex systems. Her work is widely published in leading academic journals and recognized for advancing the role of AI in practical, data-informed decision-making.

Guiping Hu is a Professor and the Head of School of Industrial Engineering and Management at Oklahoma State University, USA. She is also an IISE Fellow and the Donald & Cathey Humphreys Chair. Her research focuses on operations research and data analytics with applications in supply chain design, manufacturing production, renewable energy systems, and sustainable agriculture. Dr. Hu's research has been supported by NSF, USDA, DOE, and DOD with over $11.9M funding. She has published about 100 journal articles and 50 conference proceedings with 4800+ citations. She is an ELATES fellow and an NSF IAspire Leadership Academy Fellow.

Weiwei Chen is a Professor at Rutgers University, USA. His research interests lie in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies. He has extensive experience working with businesses and the public sector, especially in energy and healthcare, to improve strategic decisions and operational efficiency using data analytics.

Robin Qiu is a tenured Professor of information science at Pennsylvania State University, USA. He teaches a variety of information and computing science courses, such as predictive analytics, management science, business process management, decision support systems, project management, enterprise integration, enterprise service computing, software engineering, Web-based systems, distributed systems, computer architecture/SOA, computer security, Web security, operations research, and system engineering. His research interests include big data, data/business analytics, smart service systems, service science, service operations and management, information systems, cybersecurity, blockchain, and manufacturing and supply chain management.

蕭雷謝是清華大學工業工程系的副教授。他的研究專注於數據科學、運籌學、模擬和醫療管理的交集。他已發表超過30篇國際學術論文，其中一些作品被學術機構評選為傑出貢獻並選為年度最佳論文。他獲得了清華大學的傑出表現獎和年度教學卓越獎。

胡克佳是英國牛津大學賽德商學院的管理科學副教授，也是埃克塞特學院的治理機構成員。她的研究專注於人工智慧（AI）與人類決策在運營中的整合，旨在改變現實世界的實踐。通過利用AI驅動的數據分析，她開發創新解決方案，以增強複雜系統中的韌性、運營效率和服務交付。她的研究廣泛發表於領先的學術期刊，並因推進AI在實際數據驅動決策中的角色而受到認可。

胡桂平是美國奧克拉荷馬州立大學工業工程與管理學院的教授及院長。她同時是IISE的院士和唐納德與凱西·漢弗瑞斯講座教授。她的研究專注於運籌學和數據分析，應用於供應鏈設計、製造生產、可再生能源系統和可持續農業。胡博士的研究得到了國家科學基金會（NSF）、美國農業部（USDA）、能源部（DOE）和國防部（DOD）的支持，資金超過1190萬美元。她已發表約100篇期刊文章和50篇會議論文，引用次數超過4800次。她是ELATES的院士和NSF IAspire領導學院的院士。

陳偉偉是美國羅格斯大學的教授。他的研究興趣在於運營與金融的交界，以及供應鏈運營規劃和排程。他還從事模擬和隨機全局優化方法的研究。他在與企業和公共部門的合作中擁有豐富的經驗，特別是在能源和醫療領域，利用數據分析改善戰略決策和運營效率。

邱羅賓是美國賓夕法尼亞州立大學的終身教授，專攻信息科學。他教授各種信息和計算科學課程，如預測分析、管理科學、業務流程管理、決策支持系統、項目管理、企業整合、企業服務計算、軟體工程、基於網絡的系統、分散式系統、計算機架構/SOA、計算機安全、網絡安全、運籌學和系統工程。他的研究興趣包括大數據、數據/業務分析、智能服務系統、服務科學、服務運營與管理、信息系統、網絡安全、區塊鏈以及製造和供應鏈管理。