34th ACM SIGSPATIAL

ACM SIGSPATIAL 2026 - Accepted Industrial Papers

• Geospatial Support in AsterixDB: Holistic Integration of Spatial and Non-Spatial Data
  Ahmed Eldawy (UC Riverside), Mehnaz Tabassum Mahin (Amazon (work done while at UC Riverside)), Tomal Majumder (IBM (work done while at UC Riverside)), Akil Sevim (Teradata (work done while at UC Riverside)), Suryaa Charan Shivakumar (UC Riverside), Vassilis Tsotras (UC Riverside), Tin Vu (Microsoft (work done while at UC Riverside)), Ian Maxon (UC Irvine) and Michael Carey (Couchbase Inc. (academic affiliation: UC Irvine))

• F1 Geo: Distributed Geospatial Support in F1 Query
  Ahmed Mahmood (Google LLC, Mountain View, California, USA), Ahmed Aly (Google LLC, Mountain View, California, USA), David Hinschberger (Google LLC, Mountain View, California, USA) and Petros Venetis (Google LLC, Mountain View, California, USA)

• An Agentic Human-in-the-Loop Framework for Spatially-Aware Last-Mile Logistics Optimization
  Aryan Tiwari (Meesho, Bengaluru, India), Arpit Tiwari (Meesho, Bengaluru, India), Yuvraj Singh (Meesho, Bengaluru, India), Rachit Verma (Meesho, Bengaluru, India), Anshu Aditya (Meesho, Bengaluru, India), Vinit Rongata (Meesho, Bengaluru, India) and Debdoot Mukherjee (Meesho, Bengaluru, India)

• Scalable Conflation for Maps Data Replay between Heterogeneous Geospatial Data Sources
  Shaishav Maisuria (Last Mile, Amazon, WA, USA), Vishal Kumar (Last Mile, Amazon, WA, USA), Ravi Garg (Last Mile, Amazon, WA, USA) and Hesham Eraqi (Last Mile, Amazon, WA, USA)

• Unified Scene Segmentation, Reconstruction, and Conflation for Road Closure Mapping
  Abm Musa (Amazon, Last Mile, USA), Rohit Keshari (Amazon, Last Mile, USA), Amr Abdelraouf (Amazon, Last Mile, USA), Vaibhav Kango (Amazon, Last Mile, USA), Izzeddin Teeti (Amazon, Last Mile, USA) and Mohamed Moustafa (Amazon, Last Mile, USA)

• SCOUTCG: Scalable Outline of User Trajectories for Contextual Geocoding
  Arpit Tiwari (Meesho, Bengaluru, India), Hemanthkumar E (Meesho, Bengaluru, India), Karthik Sundar S M (Meesho, Bengaluru, India), Rishi Upadhyay (Meesho, Bengaluru, India), Anshu Aditya (Meesho, Bengaluru, India), Vinit Rongata (Meesho, Bengaluru, India) and Debdoot Mukherjee (Meesho, Bengaluru, India)

• Improving the Quality of LLM-Generated Code by Core Geospatial Concepts
  Zhangyu Wang (University of Maine, United States), Qianheng Zhang (University of Wisconsin-Madison, United States), Chen Wei (University of Wisconsin-Madison, United States), Yaron Kanza (AT&T Chief Data Office, United States) and Song Gao (University of Wisconsin-Madison, United States)

• Multimodal Road Closure Mapping via Cross-Modal Graph Attention
  Izzeddin Teeti (Amazon, US), Vaibhav Kango (Amazon, US), Nidhi Sridhar (Amazon, US) and Mohamed Moustafa (Amazon, US)

• MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps?
  Srinivas Venkatanarayanan (NVIDIA; University of Central Florida, USA) and Clement Pakkam Isaac (NVIDIA; University of South Florida, USA)

• GeoVec: A Hybrid Spatial–Vector Index Serving System for Web-Scale KNN at Bing
  Chun-Ting Wu (Microsoft, United States), Florin Sabau (Microsoft, United States), Jason Hong (Microsoft, United States), James Zhu (Microsoft, United States), Jun Ham (Microsoft, United States), Marc Aynés I Rulló (Microsoft, United States), Pavlo Vorontsov (Microsoft, United States), Yuhan Sun (Microsoft, United States) and Zhiming Yu (Microsoft, United States)

• DisasterNeedFinder 2.0: Reducing Latency in Location-Based Search Query Analysis for Disaster Response
  Shota Shimada (LY Corporation, Tokyo, Japan), Shuji Yamaguchi (LY Corporation, Tokyo, Japan) and Kota Tsubouchi (LY Corporation, Tokyo, Japan)

• Placebo-Aware Measurement of Expo 2025 Transit Impacts Using Mobile Network Statistics
  Tomohiro Mimura (NTT DOCOMO, Tokyo, Japan), Ryo Yamada (NTT DOCOMO, Tokyo, Japan), Yusuke Nakamura (NTT DOCOMO, Tokyo, Japan) and Syou Kan (NTT DOCOMO, Tokyo, Japan)

• Semantic Search over Multi-View Aerial Imagery at Scale
  Sarik Ghazarian (AWS Generative AI Innovation Center), Gilbert V Lepadatu (AWS Generative AI Innovation Center), Taylor Jensen (AWS Generative AI Innovation Center), Negin Sokhandan (AWS Generative AI Innovation Center), Daniele Barilla (AWS Generative AI Innovation Center), Victor Ruiz (Vexcel Data), Steve Lombardi (Vexcel Data), Stephen Lawler (Vexcel Data), Erik Jorgensen (Vexcel Data) and Ryan Bank (Vexcel Data)