ACM SIGSPATIAL 2025 – Accepted Industry Papers

  • Robust and Efficient Human Mobility Data Processing through the Len of Topological Persistence
    Lifeng Lin (The University of Tokyo), Hangli Ge (The University of Tokyo), Takashi Michikata (The University of Tokyo), Kazuma Hatano (The University of Tokyo), Ryosuke Shibasaki (LocationMind Inc.) and Noboru Koshizuka (The University of Tokyo)
  • SPEEDY: Framework for Sharpening Promise Time Estimates in Sub-Same Day Delivery
    Arindam Sarkar (Amazon) and Prakash Mandayam Comar (Amazon)
  • AddressBind: Cross-modal Alignment of Addresses and Geocodes for Last Mile Transportation Systems
    Govind (Amazon), Sayan Putatunda (Amazon) and Saurabh Sohoney (Amazon)
  • Dynamic Weather-Resilient Vessel Routing using Big AIS Data
    Alexandros Troupiotis-Kapeliaris (Kpler), Georgios Grigoropoulos (Kpler), Marios Vodas (Kpler) and Konstantina Bereta (Kpler)
  • DIGMAPPER: A Modular System for Automated Geologic Map Digitization
    Weiwei Duan (InferLink Corporation), Yao-Yi Chiang (University of Minnesota), Theresa Chen (University of Minnesota), Michael P. Gerlek (InferLink Corporation), Leeje Jang (University of Minnesota), Sofia Kirsanova (University of Minnesota), Craig A. Knoblock (USC Information Sciences Institute), Fandel Lin (USC Information Sciences Institute), Yijun Lin (University of Minnesota), Zekun Li (University of Minnesota) and Steven N. Minton (InferLink Corporation)
  • Learning Heuristics to Solve Dynamic Vehicle Routing Problems Using Large Language Models
    Andrew Wang (University of Waterloo), Xiaoyan Li (University of Toronto) and Yunli Wang (National Research Council Canada)
  • Efficient Alternative Path Generation in Time-Dependent A*
    Oussama Dhifallah (Microsoft), Michael R. Evans (Microsoft), Dragomir Yankov (Microsoft), Antonios Karatzoglou (Microsoft), Florin Sabau (Microsoft) and Goran Predovic (Microsoft)
  • Enhancing Point of Interest Search with Semantic and Spatial Information
    Yue Zhang (University of Delaware), Xiaoan Ding (Amazon), Zeyu Zhang (Amazon) and Adi Hajj-Ahmad (Amazon)
    		•