Calls

Abstract or Paper Submission/Areas of Interest

    Abstracts or Papers are welcome in any area of Service Science Research and Applications including but not limited to:

  • Service Theories and Development; Service Research, Education, and Practice
  • Service Management, Operations, Engineering, Design, Digitalization, and Marketing
  • AI-driven Smart Cities, Sustainable Systems, IT and Service System Analytics
  • Public Health Service, Policy, Administration, Response, and Systems in the AI Era
  • Smart and Intelligent Service, Healthcare Analytics, FinTech, Learning Analytics
  • Big Data, Machine Learning, Artificial Intelligence, and Data-driven Decision Making
  • Systems Modeling, Management, and Simulation in Manufacturing, Supply Chain, Logistics
  • AI Ethics and Governance in Service Science
  • Digital Transformation of Traditional Industries
  • Human-AI Collaboration in Service Delivery
  • Quantum Computing Applications in Service Science
  • AI, AR/VR, Metaverse Applications in Various Sectors (Healthcare, Energy, Finance, etc.)
  • Intelligent Hybrid Consensus Algorithms
  • Machine Intelligence for Online Social Networks & Recommender Systems
  • Mobile Technologies for Healthy Aging in Healthcare
  • Risk and Optimization for Service Systems Considering Digital Transformation

        Systems Modeling, Management, and Simulation in Manufacturing, Supply Chain, Logistics, and Others AI, Data analytics, and Data-driven Applications in Health, Energy, Finance, Transportation, Sport, Governmental/Public Services, etc.

Invited Tracks

  • 1. Intelligent Digital Health Systems and Healthcare Transformation
  • Prof. Ben Niu, Shenzhen University, China
  • Prof. Hongyan Dai, Central University of Finance and Economics, China
  • 2. AI Readiness and Smart Infrastructure: Industrial and Urban Perspectives
  • Prof. Xue Pang, City University of Macau
  • 3. Digital Transformation and Society
  • Prof. Robin Qiu, Pennsylvania State University, USA
  • Prof. Norita Ahmad, American University of Sharjah, United Arab Emirates
  • Prof. Peng Xiao, Sun Yat-sen Univeristy, China
  • 4. Smart and Intelligent Port and Shipping Logistics Services
  • Prof. Bo Lu, Prof. Jian-Jun Wang Dalian University of Technology, China
  • 5. Strategic Decision-Making in the AI-Driven Service Economy
  • Prof Yinlian Zeng, Shenzhen Technology University
  • 6. Data-driven Optimizations for Smart City Operations
  • Prof. Zihao Jiao, Beijing Technology and Business University
  • 7. Data-driven Applications in Healthcare Operations Management
  • Prof. Xiaolei Xie, Tsinghua University
  • 8. Systemic Modeling and Optimization for AI-Driven Service Innovation
  • Prof. Lefei Li, Prof. Wei Qi, Prof. Feifan Wang, Tsinghua University
  • 9. Rules-based vs. Data-driven: Decision-Making Strategies for Smart, Sustainable Service Systems
  • Prof. Jiajing Huang, Kennesaw State University
  • Prof. Zhaojing Wang, Beijing Jiaotong University
  • 10. AI-Driven Service Innovation: From Personalization to Hyperautomation
  • Prof. Gang Du, Eastern China Normal University
  • 11. Sustainable AI Operations: Low-Carbon Design and Management of Compute Services
  • Prof. Jie Song, Peking University
  • Prof. Ziwei Wang, Peking University
  • Prof. Fan Zhang, Chinese Academy of Sciences
  • Prof. Wenting Wang, Peking University
  • 12. Data-Driven Intelligence: Integrating Analytics, Artificial Intelligence, and Machine Learning for Smarter Decision-Making
  • Prof. Satish Mahadevan Srinivasan, Penn State (Great Valley)
  • Prof. Luna Yang, Penn State (Brandywine)
  • Prof. Yang Wang, La Salle University
  • Prof. La Salle University, The College of New Jersey
  • 13. Data Based Operations Management in Service Industry
  • Prof. Qiang Su, Tongji University
  • Prof. Junxiang Li, University of Shanghai for Science & Technology
  • Prof. Ming Liu, Tongji University
  • 14. Service Management in Healthcare
  • Prof. Zhognsheng Hua, Zhejiang University
  • Prof. Quan Yuan, Zhejiang University
  • 15. Risk Management in Digital and AI-Driven Service Systems
  • Prof. Chuanmin Mi, Nanjing University of Aeronautics and Astronautics
  • Prof. Shan Li, Nanjing University of Aeronautics and Astronautics
  • Prof. Jian Liu, Missouri University of Science and Technology
  • 16. Platform Supply Chain Operation Optimization
  • Prof. Qi Xu, Donghua University
  • 17. Data-Driven Prediction and Optimization in Emergency Management & Resource Allocation and Scheduling in Service Systems
  • Prof. Wai Kin (Victor) Chan, Tsinghua University
  • Kevin Cao, Tsinghua University
  • Jiaqi Huang, Tsinghua University
  • 18. Reliable Facility Location and Transportation Operations in the Digital-Intelligence Era
  • Prof. Yanzi Zhang, Beijing Institute of Technology
  • 19. AI-driven complex service system modeling and decision-making
  • Prof. Feng Gao, Beijing University of Technology
  • Prof. Jingsi Huang, Beijing University of Chemical Technology
  • 20. Data-Driven Service Operations Management under Uncertainty: Methods and Applications in Supply Chains and Energy Systems
  • Prof. Lun Ran，Beijing Institute ofTechnology
  • Prof. Yan Qiao, Zhengzhou University
  • 21. Data Driven Decision Making in Service Systems under Uncertainty
  • Prof. Caihua Chen, Nanjing University
  • Prof. Houcai Shen, Nanjing University
  • Prof. Qian Hu, Nanjing University
  • 22. Intelligent Manufacturing and Logistics Operations Optimization
  • Prof. Canrong Zhang, Tsinghua Shenzhen International Graduate School
  • Prof. Zhi Pei, Zhejiang University of Technology
  • 23. Vision and Intelligent based Metrology
  • Prof. Liang Shan, China Jiliang University
  • Prof. Jianwei Zhao, China Jiliang University
  • Prof. Weiqi Yan, Auckland University of Technology
  • 24. Human–AI Collaborative Decisions
  • Prof. Weihua Zhou, Zhejiang University
  • Prof. Hongyan Dai, Central University of Finance and Economics
  • Prof. Yu Tong, Zhejiang University
  • 25.Data Quality Management
  • Prof. Haiyan Yu, Chongqing University of Posts and Telecommunications
  • Prof. Dennis Lin, Purdue University
  • 26.AI driven Financial Service
  • Prof. Sirong Luo, Shanghai University of Finance and Economics
  • Prof. Xiangyu Cui, Shanghai University of Finance and Economics
  • 27.Risk and Optimization for Service Systems Considering Digital Transformation
  • Prof. Yichuan Ding, McGill University
  • 28. AI for Finance
  • Prof. Wei Zhang, Tianjin University
  • Prof. Shen Lin, Tianjin University
  • Prof. Ya Gao, Dalian University of Science and Technology
  • More to be added

Call for Invited Tracks

        If you are interested in organizing an invited track. Please download ICSS 2026 Invited Track proposal template and fill in the needed information. Please email your proposal to Prof. Robin Qiu ( robinqiu@psu.edu). If you have any questions, please contact Prof. Robin Qiu and Prof. Xufeng Jing. 

Important Dates

  • Oct. 31, 2025        Deadline for submission of an invited track proposal  (The deadline has passed, but we are still happy to accept proposals!)
  • Mar.15, 2026        Deadline for paper or abstract submission
  • Apr. 15, 2026        Acceptance/Rejection notification
  • May 15, 2026        Final camera-ready papers and copyright transfer form

Publication

        ICSS2026 proceedings will be published in the conference proceedings by Springer. Published papers are indexed by Scopus.

General Inquiry: Email: servicescienceglobal@gmail.com

Resources

Download Conference Brochure

2026_INFORMS_ServiceScience-CFP.pdf
2026_INFORMS_ServiceScience-CFP.docx
ICSS 2026 Invited Track proposal template
© 2025 ICSS 2026. Created for free using WordPress and Colibri
PHP Code Snippets Powered By : XYZScripts.com