Sessions

Please find conference proceedings available at this link

Day 1 - Monday, November 3

Tutorials (Room: Meridian 1)

  • Tutorial 1: Spatial Regionalization: Formulations, Algorithms, and Applications (8:00-10:00)

    • Yongyi Liu (University of California, Riverside)
    • Yunhan Chang (University of California, Riverside)
    • Amr Magdy (University of California, Riverside)

  • Tutorial 2: Building a Foundation Model for Trajectory from Scratch (10:30-12:30)

    • Gaspard Merten (Université libre de Bruxelles)
    • Mahmoud Sakr (Université libre de Bruxelles)
    • Gilles Dejaegere (Université libre de Bruxelles)

  • Tutorial 3: Beyond Transport: V2X Integration Turning EVs into Smart Energy Assets (14:00-15:30)

    • Bojie Shen (Monash University)
    • Jinchun Du (Monash University)
    • Muhammad Aamir Cheema (Monash University)

  • Tutorial 4: Scalable Raster Processing: Models, Systems, Algorithms, and Open Challenges (16:00-18:00)

    • Zhuocheng Shang (University of California, Riverside)
    • Ahmed Eldawy (University of California, Riverside)

PhD/Graduate Workshop and SRC (Room: Topgolf Swing Suite)

  • Keynote: "From Symbolic AI to Generative AI: Stories and Reflections from a Journey Through the AI Revolution" (10:15 - 11:00)

    • Prof. Vipin Kumar (University of Minnesota)
    • More details can be found at this link

  • Break (11:00 - 11:15)

  • Session 1: SRC Graduate Talks (Part 1) (11:15 - 12:15)

    • Spatial Pattern Search through Language Models (11:15 - 11:30)
      Nicole Schneider (University of Maryland, USA)
    • End-to-End Raw Scalable Raster Processing with Customized Pipeline and Foundation Model Integration (11:30 - 11:45)
      Zhuocheng Shang (University of California, Riverside, USA)
    • A Deep Origin-Destination Flow Imputation Model Informed by the Visitation Law in Human Mobility (11:45 - 12:00)
      Sheng Wang (University of Minnesota, Twin Cities, USA)
    • Estimating the Vitality of Individual Street Trees in Urban Areas using Multi-source Imagery and Deep Learning (12:00 - 12:15)
      Yeonsu Kang (Ewha Womans University, South Korea)

  • Break (12:15 - 12:30)

  • Panel: “Success in Ph.D. Journey” (12:30 - 13:15)

    Panelists:
    Prof. Flora D. Salim (University of New South Wales)
    Prof. Mahmoud Sakr (Université Libre de Bruxelles)
    Prof. Maryam Hosseini (UC Berkeley)

  • Mentor–Mentee Lunch (By Invitation Only) (13:15 - 14:00)

  • Session 2: SRC Graduate Talks (Part 2) (14:00 - 15:15)

    • Multi-modal Spatio-temporal Forecasting in Sensor-less Regions: A Dual-stage Graph Approach from Disease to Crime (14:00 - 14:15)
      Pei-Xuan Li (National Cheng Kung University, Taiwan)
    • Pedestrian Trajectory Prediction via Social Pooling and Transformer Cross Attention (14:15 - 14:30)
      Jiou Ha (Ewha Womans University, South Korea)
    • Spatial Inference on Phylogenetic Trees (14:30 - 14:45)
      Owen Tucker (Emory University, USA)
    • Prediction of Dengue Incidents: A Spatio-Temporal Approach with SEIR and Graph Neural Networks (14:45 - 15:00)
      Cheng-Ru Chou (National Cheng Kung University, Taiwan)
    • sparkmobility: A Spark-based Python Library for Processing, Modeling, and Analyzing Large Mobility Datasets (15:00 - 15:15)
      Shangqing Cao (University of California, Berkeley, USA)

  • Break (15:15 - 15:20)

  • Session 3: SRC Undergraduate Talks (15:20 - 16:35)

    • A Graph-Based Spatio-Temporal POI Ranking Measure for Pickup and Delivery Platforms (15:20 - 15:35)
      Karen Xiao (Wellesley College, USA)
      Makoto Irisumi (Wellesley College, USA)
    • MambaLoc: Lightweight Indoor Localization For Unmanned Vehicles Using Cross-Modal Knowledge Distillation (15:35 - 15:50)
      Mohab Bahnassy (American University in Cairo, Egypt)
      Omar Saqr (American University in Cairo, Egypt)
    • Biker Buddy: A Conversational Route Planner for Cyclists Powered by LLMs and Context-Aware Map Parsing (15:50 - 16:05)
      Isaac Huang (University of Waterloo, Canada)
    • SpatioSense: Adaptive & Efficient Crowdsensing Across Domains (16:05 - 16:20)
      Han Nguyen (Wellesley College, USA)
    • GeoDrive: Cross-City Autonomous Driving through Meta-Learning and LLMs (16:20 - 16:35)
      Mostafa Gaafar (American University in Cairo, Egypt)
      Ali Elaswad (American University in Cairo, Egypt)

  • Break (16:35 - 16:45)

  • SRC Graduate and Undergraduate Poster Session (16:46 - 17:45)

Workshops

  • You can find the full Workshop Day schedule with an Event Space map at this PDF

GISCUP (Room: Think 2)

  • GISCUP Workshop Welcome (08:15 - 08:30)
    Takahiro Yabe & Kota Tsubouchi

  • Organizers' Data Description (08:30 - 08:45)
    Toru Shimizu

  • MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction (08:45 - 09:00)
    Yijun Lin (University of Minnesota)

  • Human Mobility Prediction with Multi-Task Curriculum Training (09:00 - 09:15)
    Tianye Fang (Technical University of Munich)

  • Lightweight Personalized Human Mobility Prediction using Gradient-Boosted Decision Trees and Graph Neural Networks (09:15 - 09:30)
    Masahiro Suzuki (Sony Group Corporation)

  • Building Efficient LLM Pipeline for Human Mobility Prediction (09:30 - 09:45) (Via Zoom) Chenhao Wang (University of Electronic Science and Technology of China)

  • Trajectory Prediction Using Spatiotemporal BERT Leveraging Collective Trajectories (09:45 - 10:00)
    Keiichi Ochiai (Yokohama City University)

  • Coffee Break (10:00 - 10:15)

  • Human Mobility Prediction via Sparse Mixture-of-Experts and Hybrid Multi-Scale Encoding (10:15 - 10:30)
    Yueyang Liu (Emory University)

  • Simple Yet Effective: Supervised Fine-Tuning of Large Language Models for Multi-City Human Mobility Prediction (10:30 - 10:45) (Via Zoom) Zhaoya Gong (Peking University)

  • CityCondBERT: Cross-City Transfer with GEO-BLEU-Sinkhorn Loss for Human Mobility Prediction (10:45 - 11:00)
    Sehoon Oh (Yonsei University)

  • Spatiotemporal Mobility Prediction via Cross-City-Aware Llama-3-8B-Mob (11:00 - 11:15)
    Meisaku Suzuki (NTT DOCOMO, INC.)

  • Break (11:15 - 11:30)

  • HuMob Predictor: Towards a Generalizable Model for Multi-City Individual Mobility Prediction (11:30 - 11:45) (Via Zoom) Xu Yang (Hong Kong Polytechnic University)

  • BERT-based Human Mobility Prediction with Enhanced Features, Data Augmentation, and Epoch-wise Ensemble (11:45 - 12:00)
    Shoko Nukaya (KDDI Research)

  • Multi-City Next Location Prediction through Mobility-Derived Multi-Pattern Transfer Learning (12:00 - 12:15)
    Haru Terashima (Nagoya University)

  • Closing (12:15 - 12:30)

    Takahiro Yabe & Kota Tsubouchi

Day 2 - Tuesday, November 4

Lightning Talks Session 1 (Demos, Short Papers, ACM TSAS) (8:15 - 9:30)

Short Paper Track

  • 01S - Streamlining Vehicle Logistics: Maximizing Pickup and Delivery While Considering Loading and Unloading Costs
    Kousik Kumar Dutta: Indian Institute of Technology Ropar
    Venkata M. V. Gunturi: University of Hull

  • 02S - Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
    Shravan Gadbail: Data Sciences and Analytics Center, International Institute of Information Technology
    Masumi Desai: Data Sciences and Analytics Center, International Institute of Information Technology Hyderabad
    Kamalakar Karlapalem: Data Sciences and Analytics Center, International Institute of Information Technology Hyderabad

  • 03S - A Spatially Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction
    Congcong Miao: University of Connecticut
    Suining He: University of Connecticut
    Yuyao Li: University of Connecticut
    Chuanrong Zhang: University of Connecticut

  • 04S - MapLibre Tile: A Next Generation Vector Tile Format
    Markus Tremmel: Rohde & Schwarz GmbH & Co. KG
    Roland Zink: Deggendorf Institute of Technology

  • 05S - Exploiting Polygon Metadata to Recolor Historical Maps
    Fandel Lin: USC Information Sciences Institute
    Craig Knoblock: USC Information Sciences Institute
    Binh Vu: University of Southern California
    Yao-Yi Chiang: University of Minnesota

  • 06S - Exploiting Polygon Metadata to Colorize Draft Maps
    Fandel Lin: USC Information Sciences Institute
    Craig Knoblock: USC Information Sciences Institute
    Binh Vu: University of Southern California
    Basel Shbita: IBM Research
    Yao-Yi Chiang: University of Minnesota

  • 07S - Spatial Regionalization: A Hybrid Quantum Computing Approach
    Yunhan Chang: Department of Computer Science and Engineering, University of California, Riverside
    Amr Magdy: Department of Computer Science and Engineering, University of California, Riverside
    Federico Spedalieri: Department of Electrical and Computer Engineering, USC
    Ibrahim Sabek: Department of Computer Science, USC

  • 08S - Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction
    Yunzhi Liu: University of New South Wales
    Haokai Tan: University of New South Wales
    Rushi Kanjaria: University of New South Wales
    Lihuan Li: University of New South Wales
    Flora D. Salim: University of New South Wales

  • 09S - Modeling Stopped Vehicle Dynamics on Urban Backstreets via GraphLSTM-Attn: A Context-Aware GeoAI Approach
    Jiwon Kim: Ewha Womans University
    Jiyoon Lee: Ewha Womans University
    Youngok Kang: Ewha Womans University

  • 10S - VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting
    Ziyan Yang: School of Information Engineering, China University of Geosciences, Beijing
    Shuhui Gong: School of Information Engineering, China University of Geosciences, Beijing
    Xinqi Liu: School of Information Engineering, China University of Geosciences, Beijing
    Jiahao Lv: School of Information Engineering, China University of Geosciences, Beijing
    Changjian Liu: School of Earth and Space Sciences, Peking University
    Jilin Hu: East China Normal University, Shanghai Engineering Research Center of Big Data Management
    Hongbin Pei: School of Cyber Science and Engineering, Xian Jiaotong University

  • 11S - TrafficNetQA: Question Answering Datasets for Evaluating LLM Performance on Traffic Network Files
    Donghoon Kwon: University of Minnesota
    Seungmo Kang: Korea University
    Seongjin Choi: University of Minnesota

  • 12S - ST-EMS: A Spatio-Temporal Framework for Forecasting Emergency Medical Service Demand and Adaptive Hospital Routing
    Sai Deepthi Yeddula: Oakland University
    Sarath S. Shanker: Oakland University
    Abhijeet Bhattacharya: Oakland University
    Chen Jiang: Auburn University
    Julian Rrushi: Oakland University
    Wei-Shinn Ku: Auburn University

  • 13S - GeoFlow: Agentic Workflow Automation for Geospatial Tasks
    Amulya Bhattaram: University of Texas at Austin
    Justin Chung: University of Texas at Austin
    Stanley Chung: University of Texas at Austin
    Ranit Gupta: University of Texas at Austin
    Janani Ramamoorthy: University of Texas at Austin
    Kartikeya Gullapalli: University of Texas at Austin
    Diana Marculescu: University of Texas at Austin
    Dimitrios Stamoulis: University of Texas at Austin

  • 14S - Fair-Coverage Facility Location: Optimizing Distance and Diversity
    Majid Mirzanezhad: Ohio University

  • 15S - EfficientLocNet: High-Performance and Lightweight Radio Source Localization with Multi-Scale Attention
    Thanh Dat Le: University of North Texas
    Sourabh Yadav: University of North Texas
    Xinpeng Xie: University of North Texas
    Chenxi Qiu: University of North Texas
    Yan Huang: University of North Texas
    Xinrong Li: University of North Texas

  • 16S - Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
    Boyi Chen: Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich
    Zhangyu Wang: University of Maine
    Fabian Deuser: University of the Bundeswehr Munich
    Johann Maximilian Zollner: Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich
    Martin Werner: Professorship Big Geospatial Data Management, School of Engineering and Design, Technical University of Munich

  • 17S - Expert Guided Diffusion for Synthetic Aperture Radar Despeckling
    Ping-Chun Lin: University of Washington
    Hayato Ushijima-Mwesigwa: Fujitsu Research of America
    Wing Yee Au: Fujitsu Research of America

  • 18S - An Improvement to the Sliding Window Staypoint Detection Algorithm to Handle Dropouts
    Lance Kennedy: Emory University
    Andreas Züfle: Emory University

  • 19S - TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting
    Lincan Li: Department of Computer Science, Florida State University
    Eren Erman Ozguven: FAMU-FSU College of Engineering
    Yue Zhao: University of Southern California
    Guang Wang: Florida State University
    Yiqun Xie: University of Maryland, College Park
    Yushun Dong: Florida State University

  • 20S - A First Look at Predictability and Explainability of Pre-request Passenger Waiting Time in Ridesharing Systems
    Jie Wang: Independent Researcher
    Guang Wang: Florida State University

  • 21S - LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery
    Jiue-An Yang: City of Hope Beckman Research Institute
    Yuzhou Chen: University of California, Riverside
    Calvin Tribby: City of Hope Beckman Research Institute
    Huikyo Lee: NASA Jet Propulsion Laboratory
    Loretta Erhunmwunsee: City of Hope Beckman Research Institute
    Tarik Benmarhnia: University of California San Diego
    Caroline Thompson: University of North Carolina at Chapel Hill
    Yulia R. Gel: Virginia Polytechnic Institute and State University
    Marta Jankowska: City of Hope Beckman Research Institute

  • 22S - MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
    Haruki Yonekura: The University of Osaka, RIKEN Center for Computational Science
    Ren Ozeki: The University of Osaka, Japan Meteorological Agency
    Tatsuya Amano: The University of Osaka, RIKEN Center for Computational Science
    Hamada Rizk: The University of Osaka, Tanta University, RIKEN Center for Computational Science
    Hirozumi Yamaguchi: The University of Osaka, RIKEN Center for Computational Science

Demo Track

  • 23D - Search by Spatial Query: Text to Pictorial Queries [Demo]
    Nicole Schneider: University of Maryland, United States
    Avik Das: University of Maryland, United States
    Kent O'Sullivan: University of Sydney, Australia
    Hanan Samet: University of Maryland, United States

  • 24D - ALFA: Elevation-Guided 3D Flood Map Annotation on Earth Imagery by Consistency-Enhanced Active Learning [Demo]
    Saugat Adhikari: Indiana University Bloomington, United States
    Da Yan: Indiana University Bloomington, United States
    Naman Nimbale: Indiana University Bloomington, United States
    Akhlaque Ahmad: Indiana University Bloomington, United States
    Jiao Han: Indiana University Bloomington, United States
    Lyuheng Yuan: Indiana University Bloomington, United States

  • 25D - PortVIS: An Interactive Platform for Port-to-Port Trajectory Imputation and Visual Analytics [Demo]
    Zhiwen Zhang: LocationMind Inc., Japan
    Zipei Fan: Jilin University, China
    Wei Yuan: The University of Tohoku, Japan
    Shun Iwazaki: LocationMind Inc., Japan
    Ryosuke Shibasaki: LocationMind Inc., Japan

  • 26D - Demonstration of FutureFarmNow: Interactive Spatial Data Exploration for Precision Agriculture
    Zhuocheng Shang: University of California, Riverside, United States
    Ahmed Eldawy: University of California, Riverside, United States
    Elia Scudiero: UCR, Environmental Sciences, United States
    George Vellidis: University of Georgia, United States
    José Andreis: AUSTN, Brazil

  • 27D - RouteSys: A Future Route Data Management System
    Zizhuo Xu: Hong Kong University of Science and Technology, Hong Kong
    Doucheng Pan: Hong Kong University of Science and Technology (GZ), China
    Lei Li: Hong Kong University of Science and Technology (GZ), China
    Mengxuan Zhang: The Australian National University, Australia
    Yehong Xu: Hong Kong University of Science and Technology, Hong Kong
    Xiaofang Zhou: Hong Kong University of Science and Technology, Hong Kong

  • 28D - AIDA: A Spatial Data Augmentation Tool for Machine Learning Dataset Preparation
    Sara Migliorini: University of Verona, Italy
    Alberto Belussi: University of Verona, Italy

  • 29D - EpiScale: Large-Scale Simulation of Infectious Disease Based on Human Mobility [Demo]
    Ruochen Kong: Emory University, United States
    Taylor Anderson: George Mason University, United States
    David Heslop: The University of New South Wales, Australia
    Matthew Scotch: Arizona State University, United States
    Flora D. Salim: The University of New South Wales, Australia
    Chandini Raina Macintyre: The University of New South Wales, Australia
    Andreas Züfle: Emory University, United States

  • 30D - UrbanXplain: A Language-Driven Urban Planning System with Explainable Reasoning and Real-Time 3D Rendering
    Yanan Xiao: Northeast Normal University, China
    Rui Song: Northeast Normal University, China
    Yinan Xiao: Northeast Normal University, China
    Lu Jiang: Dalian Maritime University, China
    Minghao Yin: Northeast Normal University, China
    Pengyang Wang: University of Macau, China

  • 31D - SHM-DB - A Shared Memory Database for FAIR Geospatial Algorithm Development (Demo Paper)
    Martin Werner: Technical University of Munich, Germany
    Katharina Anders: Technical University of Munich, Germany

  • 32D - A Spatially-Grounded Conversational Planner for Personalized Urban Itineraries [Demo]
    Chiara Pugliese: IIT-CNR, Pisa, Italy
    Maddalena Amendola: IIT-CNR, Pisa, Italy
    Raffaele Perego: ISTI-CNR, Pisa, Italy
    Chiara Renso: ISTI-CNR, Pisa, Italy

Research Track

  • 33R - FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
    Sichen Zhao: RMIT University
    Wei Shao: Data61, CSIRO
    Jeffrey Chan: RMIT University
    Ziqi Xu: RMIT University
    Flora Salim: University of New South Wales

  • 34R - An image embedding-based approach for classifying street networks
    Francisco Garrido-Valenzuela: CityAI Lab, Transport and Logistics Group, Delft University of Technology
    Max Lange: Department of Transport & Planning, Delft University of Technology
    Juan C. Herrera: Department of Transport Engineering and Logistics, Pontificia Universidad Católica de Chile
    Oded Cats: Department of Transport & Planning, Delft University of Technology

  • 35R - Scenario-Based Evaluation of Probabilistic Time Series Forecasting for Solar Energy [Experiment]
    Ruohan Li: University of Maryland, College Park
    Yiqun Xie: University of Maryland
    Xiaowei Jia: University of Pittsburgh
    Gengchen Mai: University of Texas at Austin
    Sohpia Hou: University of Maryland, College Park
    Zhihao Wang: University of Maryland
    Zhili Li: University of Maryland, College Park

  • 36R - SGV: Scalable Geospatial Graph Visualization
    Tarlan Bahadori: University of California, Riverside
    Alvin Chiu: University of California, Irvine
    Ahmed Eldawy: University of California, Riverside
    Michael Goodrich: University of California, Irvine

  • 37R - TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders
    Tanjim Bin Faruk: Colorado State University
    Abdul Matin: Colorado State University
    Shrideep Pallickara: Department of Computer Science, Colorado State University
    Sangmi Pallickara: Colorado State University

  • 38R - FCV2X-Net: Foresighted and Coordinated Vehicle-to-Everything Control for Joint Traffic Navigation and Signal Optimization
    Jinwei Zeng: Tsinghua University
    Hongyuan Su: Tsinghua University
    Jian Yuan: Tsinghua University
    Yong Li: Tsinghua University

  • 39R - Voluntary mobility clustering for epidemic control
    Amir Mohammad Esmaieeli Sikaroudi: Department of Computer Science, University of Arizona
    Alon Efrat: Department of Computer Science, University of Arizona
    Joseph S. B. Mitchell: Department of Applied Mathematics and Statistics, Stony Brook University
    Esther Arkin: Department of Applied Mathematics and Statistics, Stony Brook University

  • 40R - PolyMinHash: Efficient Area-Based MinHashing of Polygons for Approximate Nearest Neighbor Search
    Alima Subedi: Missouri University of Science and Technology
    Sankalpa Pokharel: Missouri University of Science and Technology
    Satish Puri: Missouri University of Science and Technology

  • 41R - Foundation Models for Semantic Segmentation of Thick/Thin Clouds and Cloud-shadows: A Comparative Study [Experiment]
    Calvin Nguyen: North Carolina State University
    Ranga Vatsavai: North Carolina State University

  • 42R - Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern
    Ziyi Liu: Tsinghua University
    Qingyue Long: Tsinghua University
    Yong Li: Tsinghua University

  • 43R - Mobility Data Stream Processing Beyond the Cloud
    Mariana M. Garcez Duarte: Université libre de Bruxelles
    Dwi P. A. Nugroho: BIFOLD, TU-Berlin
    Georges Tod: SNCB-NMBS Engineering
    Evert Bevernage: SNCB-NMBS Engineering
    Pieter Moelans: SNCB-NMBS Engineering
    Elias Saerens: SNCB-NMBS Engineering
    Esteban Zimányi: Université Libre de Bruxelles
    Mahmoud Sakr: Université Libre de Bruxelles
    Steffen Zeuch: BIFOLD, TU-Berlin

  • 44R - GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
    Wilson Wongso: UNSW
    Hao Xue: University of New South Wales
    Flora Salim: University of New South Wales

TSAS

  • 45T - Generative Trajectory Forecasting via Transformers: The TrajLearn Framework
    Amirhossein Nadiri: York University, Canada
    Jing Li: York University, Canada
    Ali Faraji: York University, Canada
    Ghadeer Abuoda: York University, Canada
    Manos Papagelis: York University, Canada

  • 46T - Distributed MobilityDB: A Scalable Moving Object Database Management System
    Mohamed Bakli: Université libre de Bruxelles, Belgium
    Mahmoud Sakr: Université libre de Bruxelles, Belgium
    Esteban Zimányi: Université libre de Bruxelles, Belgium
    Nils Dijk: Microsoft, Netherlands
    Marco Slot: Microsoft, Netherlands

  • 47T - Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery
    Saugat Adhikari: Indiana University Bloomington, USA
    Da Yan: Indiana University Bloomington, USA
    Zhe Jiang: University of Florida, USA
    Jiao Han: Indiana University Bloomington, USA
    Zelin Xu: University of Florida, USA
    Yupu Zhang: University of Florida, USA
    Arpan Sainju: Middle Tennessee State University, USA
    Yang Zhou: Auburn University, USA

  • 48T - Per Segment Plane Sweep Line Segment Intersection on the GPU: Highlights
    Mark McKenney: Southern Illinois University, Edwardsville, USA
    Roger Frye: Blackburn College, USA

  • 49T - Fuzzy Spatial Algebra (FUSA): Overview and Highlights
    Anderson Carniel: Federal University of São Carlos, Brazil
    Markus Schneider: University of Florida, USA

Application Track

  • 50A - A topology-based approach to extract pressure ridges from sea ice surfaces
    Yunting Song: University of Maryland at College Park
    Leila De Floriani: University of Maryland at College Park
    Kyle Duncan: University of Maryland at College Park
    Sinead Farrell: University of Maryland at College Park

Research 1: Mobility 1: Anomaly Detection and Trajectory Generation (11:00 - 12:30)

Session Chair: Amr Magdy

Location: Meridian 1/2

  • RECAST: Route-Enhanced Conditional Anomalous Sub-trajectory Detection
    Ziyi Jiang: The University of Auckland
    Qiqi Wang: The University of Auckland
    Xuyang Sun: The University of Auckland
    Gillian Dobbie: The University of Auckland
    Xiaoling Lu: Renmin University of China
    Yalei Du: Beijing Baixingkefu Network Technology Co., Ltd.
    Yuanyuan Zhang: Beijing Baixingkefu Network Technology Co., Ltd.
    Kaiqi Zhao: The University of Auckland

  • Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation
    Mingzhou Yang: University of Minnesota
    Arun Sharma: University of Minnesota
    Majid Farhadloo: University of Minnesota
    Bharat Jayaprakash: University of Minnesota
    Shashi Shekhar: University of Minnesota

  • Graph Enhanced Trajectory Anomaly Detection
    Jonathan Mbuya: George Mason University
    Dieter Pfoser: George Mason University
    Antonios Anastasopoulos: George Mason University

  • ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data
    Bita Azarijoo: University of Southern California
    Maria Despoina Siampou: University of Southern California
    John Krumm: University of Southern California
    Cyrus Shahabi: University of Southern California

  • Modeling Collective Behaviors for Human Mobility Anomaly Detection
    Haomin Wen: Carnegie Mellon University
    Shurui Cao: Carnegie Mellon University
    Leman Akoglu: Carnegie Mellon University

Industry 1: Applied Routing: From Last-Mile Delivery to Maritime Navigation (11:00 - 12:30)

Session Chair: Jinmeng Rao

Location: Room 2

  • SPEEDY: Framework for Sharpening Promise Time Estimates in Sub-Same Day Delivery
    Arindam Sarkar: Amazon
    Prakash Mandayam Comar: Amazon

  • Learning Heuristics to Solve Dynamic Vehicle Routing Problems Using Large Language Models
    Andrew Wang: University of Waterloo
    Xiaoyan Li: University of Toronto
    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
    Goran Predovic: Microsoft_

  • Dynamic Weather-Resilient Vessel Routing using Big AIS Data
    Alexandros Troupiotis-Kapeliaris: Kpler
    Georgios Grigoropoulos: Kpler
    Marios Vodas: Kpler
    Konstantina Bereta: Kpler

Research 2: Geo-Foundation Models and Representations (2:00 - 3:30)

Session Chair: W Randolph Franklin

Location: Meridian 1/2

  • SpatialGPT: Zero-Shot Vision-and-Language Navigation via Spatial CoT over Structured Spatial Memory
    Zhiqiang Jiang: University of Calgary
    Xin Wang: University of Calgary

  • Towards A New Era of Geo-Foundation Models: Expert-Guided Multimodal Alignment and Geospatial Context Awareness
    Ting Han: Sun Yat-Sen University
    Huan Chen: Sun Yat-Sen University
    Chaolei Wang: Sun Yat-Sen University
    Yilan Ren: Sun Yat-Sen University
    Meiliu Wu: University of Glasgow

  • EvaMAE: How Helpful Are DEM Data in Enhancing Geo-Foundation Models for Earth Imagery? [Experiment]
    Saugat Adhikari: Indiana University Bloomington
    Da Yan: Indiana University Bloomington
    Naman Nimbale: Indiana University Bloomington
    Weijin Liu: Stevens Institute of Technology
    Xiaodong Yu: Stevens Institute of Technology
    Akhlaque Ahmad: Indiana University Bloomington
    Lyuheng Yuan: Indiana University Bloomington
    Jiao Han: Indiana University Bloomington
    Zhe Jiang: University of Florida

  • OBSR: Open Benchmark for Spatial Representations [Experiment]
    Julia Moska: Wrocław University of Science and Technology
    Oleksii Furman: Wrocław University of Science and Technology
    Kacper Kozaczko: Wrocław University of Science and Technology
    Szymon Leszkiewicz: Wrocław University of Science and Technology
    Jakub Polczyk: Wrocław University of Science and Technology
    Piotr Gramacki: Wrocław University of Science and Technology
    Piotr Szymański: Wrocław University of Science and Technology

Application 1: Earth Science/Agriculture/Food Systems (2:00 - 3:30)

Session Chair: Shawn Newsam

Location: Meridian 3/4

  • DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets
    Bayu Adhi Tama: University of Maryland, Baltimore County
    Mansa Krishna: Dartmouth College
    Homayra Alam: University of Maryland, Baltimore County
    Mostafa Cham: University of Maryland, Baltimore County
    Omar Faruque: University of Maryland, Baltimore County
    Gong Cheng: Dartmouth College
    Jianwu Wang: University of Maryland, Baltimore County
    Mathieu Morlighem: Dartmouth College
    Vandana Janeja: University of Maryland, Baltimore County

  • Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning
    Yijun Lin: University of Minnesota
    Theresa Chen: University of Minnesota
    Colby Brungard: New Mexico State University
    Sabine Grunwald: University of Florida
    Sue Ives: ABR, Inc.
    Matt Macander: ABR, Inc.
    Timm Nawrocki: University of Alaska–Anchorage
    Yao-Yi Chiang: University of Minnesota
    Nic Jelinski: University of Minnesota

  • FieldSAT: A Scalable Query Workflow for Precision Agriculture with Large Raster Datasets
    Zhuocheng Shang: University of California, Riverside
    Ahmed Eldawy: University of California, Riverside
    Elia Scudiero: University of California, Riverside
    Ramesh Dhungel: USDA Salinity Lab
    Ray Anderson: USDA Salinity Lab

  • An Orchestration Engine for Scalable, On-Demand AI Phenotyping from UAS Imagery in Agriculture
    Lucas Waltz: The Ohio State University
    Sarikaa Sridhar: The Ohio State University
    Ryan Waltz: The Ohio State University
    Paul Rodriguez: University of California, San Diego
    Chaeun Hong: The Ohio State University
    Armeen Ghoorkhanian: The Ohio State University
    Nicole DiMarco: The Ohio State University
    Raghu Machiraju: The Ohio State University
    Sami Khanal: The Ohio State University

  • Scalable Inter-County Food Flow Prediction Using Graph Neural Networks
    Qianheng Zhang: University of Wisconsin–Madison
    Dev Paul: University of Wisconsin–Madison
    Michelle Miller: University of Wisconsin–Madison
    Alfonso Morales: University of Wisconsin–Madison
    Song Gao: University of Wisconsin–Madison

Research 3: Urban Computing and Land Use (4:00 - 5:50)

Session Chair: Peer Kroeger

Location: Meridian 1/2

  • Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior
    Lin Che: ETH Zurich
    Yizi Chen: ETH Zurich
    Tanhua Jin: Ghent University
    Martin Raubal: ETH Zurich
    Konrad Schindlere: ETH Zurich
    Peter Kiefer: ETH Zurich

  • Estimating Traffic in Urban Area Using Public Transit Buses as Probes
    Bahare Salehi: Université Libre de Bruxelles
    Mahmoud Sakr: Université Libre de Bruxelles

  • POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
    Nripsuta Ani Saxena: University of Southern California
    Shang-Ling Hsu: University of Southern California
    Mehul Shetty: University of Southern California
    Omar Alkhadra: University of Southern California
    Cyrus Shahabi: University of Southern California
    Abigail L. Horn: University of Southern California

  • Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification
    Junhao Wu: Towson University
    Stephen Aboagye-Ntow: Towson University
    Chuyuan Wang: Towson University
    Gang Chen: University of North Carolina at Charlotte
    Xin Huang: Towson University

  • Enhancing Urban Region Representation via Adaptive Risk-aware Consensus Learning
    Li Huang: Southwestern University of Finance and Economics
    Yujie Wu: Southwestern University of Finance and Economics
    Xiaolong Song: Southwestern University of Finance and Economics
    Qiang Gao: Southwestern University of Finance and Economics
    Goce Trajcevski: Iowa State University
    Xueqin Chen: Kash Institute of Electronics and Information Industry

  • Omni-CityMood: Vision-based Urban Atmosphere Perception from Every Angle
    Yuki Kubota: Institute of Science Tokyo
    Kota Tsubouchi: LY Corporation
    Soto Anno: Institute of Science Tokyo
    Kaito Ide: Institute of Science Tokyo
    Masamichi Shimosaka: Institute of Science Tokyo

Posters and Demos for Lightning Talks Session 1 (4:00 - 5:50)

Location: Pinnacle Foyer

  • The posters are the same as Lightning Talks Session 1 (Demos, Short Papers, ACM TSAS)

Day 3 - Wednesday, November 5

Lightning Talks Session 2 (Demos, Short Papers) (8:00 - 9:00)

Demo Track

  • 60D - Hecatoncheir: Scaling up and out spatial data management
    Thanasis Georgiadis: University of Ioannina, Greece
    Achilleas Michalopoulos: University of Ioannina, Greece
    Dimitris Dimitropoulos: University of Ioannina, Greece
    Dimitris Tsitsigkos: Archimedes, Athena RC, Greece
    Nikos Mamoulis: University of Ioannina, Greece

  • 61D - Planet Scale Mars Image Retrieval for Fast Mapping with Interactive Refinement [Demo]
    Jichao Fang: Northern Illinois University, United States
    Lei Zhang: Northern Illinois University, United States
    Wei Luo: Northern Illinois University, United States

  • 62D - GRAFMOVE: Graph-based Mobility Optimization and Visualization Engine [Demo]
    Federica Rollo: University of Modena and Reggio Emilia, Italy
    Laura Po: University of Modena and Reggio Emilia, Italy

  • 63D - RailEstate: An Interactive System for Metro Linked Property Trends
    Chen-Wei Chang: Virginia Tech, United States
    Yu-Chieh Cheng: Virginia Tech, United States
    Yun-En Tsai: Virginia Tech, United States
    Fanglan Chen: Virginia Tech, United States
    Chang-Tien Lu: Virginia Tech, United States

  • 64D - Coincidental Data Discovery Engine: A Portal for Global-Scale Cross-Platform Satellite Data Search [Demo]
    Ruichen Wang: University of Maryland College Park, United States
    Yiqun Xie: University of Maryland College Park, United States
    Leo Du: University of Maryland College Park, United States
    Jia Yu: Wherobots Inc, United States
    Kyle Duncan: University of Maryland College Park, United States
    Sinéad Farrell: University of Maryland College Park, United States
    Zhili Li: University of Maryland College Park, United States
    Kangyang Chai: University of Maryland College Park, United States

  • 65D - [Demo] VisLN: An Interactive Visualization System for Vision Language Navigation
    Isaac Huang: University of Waterloo, Canada
    Zhiqiang Jiang: University of Calgary, Canada

  • 66D - Query-Aware Route Enrichment for Handling Complex Direction Queries and Grounding Large Language Models
    Antonios Karatzoglou: Microsoft, United States
    Michael Snider: Microsoft, United States
    Varun Kakkar: Microsoft, United States
    Michael R. Evans: Microsoft, United States
    Dragomir Yankov: Microsoft, United States
    Goran Predovic: Microsoft, United States

  • 67D - Partitioning Areas With Obstacles for Fleet of Drones [Demo]
    Kenneth Scheuman: Iowa State University, United States
    Nicholas Kokott: Iowa State University, United States
    Cole Stuedeman: Iowa State University, United States
    Melani Hodge: Iowa State University, United States
    Everett Duffy: Iowa State University, United States
    Samuel Russett: Iowa State University, United States
    Goce Trajcevski: Iowa State University, United States

  • 68D - EV Energy Trading Dashboard: Cost-Emission Reduction Through Spatiotemporal Forecasts and Smart Charging [Demo]
    Muhammad Insan Al-Amin: Monash University, Australia
    Jinchun Du: Monash University, Australia
    Muhammad Aamir Cheema: Monash University, Australia
    Isma Farah Siddiqui: Monash University, Australia
    Mahsa Salehi: Monash University, Australia

  • 69D - [DEMO] Rotation and Scale-Invariant Shape Extraction from Vessel Trajectories for HumanInTheLoop Monitoring
    Cristiano Landi: University of Pisa, Italy
    Natalia Andrienko: Fraunhofer Institute IAIS Germany
    Gennady Andrienko: Fraunhofer Institute IAIS Germany

Research Track

  • 70R - Large-Scale Human Mobility Dataset Generator Based on Patterns of Life Simulation
    Hossein Amiri: Emory University
    Richard Yang: Emory University
    Shiyang Ruan: George Mason University
    Joon-Seok Kim: Emory University
    Hamdi Kavak: George Mason University
    Andrew Crooks: University at Buffalo
    Dieter Pfoser: George Mason University
    Carola Wenk: Tulane University
    Andreas Züfle: Emory University

  • 71R - Reducing Congestion and Search Time via Smart Street Parking
    Behafarid Hemmatpour: IMDEA Networks Institute
    Javad Dogani: IMDEA Networks Institute
    Nikolaos Laoutaris: IMDEA Networks Institute

  • 72R - Uncertainty-Aware Anomaly Detection in Spatiotemporal Climate Data [Experiment]
    Tolulope Ale: iHARP, University of Maryland Baltimore County
    Ratnaksha Lele: iHARP, University of Maryland Baltimore County
    Nicole-Jeanne Schlegel: NOAA

  • 73R - TrajNS: Numerical and Semantic Modeling Framework for Realistic and Controllable Trajectory Generation
    Dimuthu Lakmal: University of Melbourne
    Renata Borovica-Gajic: University of Melbourne
    Shanika Karunasekera: University of Melbourne

  • 74R - Urban Knowledge Graph-Enhanced Explainable Recommendation Approach for Destination Choice
    Ziheng Liu: Department of Advanced Interdisciplinary Studies, The University of Tokyo
    Yanbo Pang: Center for Spatial Information Science, The University of Tokyo
    Yoshihide Sekimoto: Center for Spatial Information Science, The University of Tokyo

  • 75R - Uncertainty-aware Spatio-Temporal Human Mobility Modeling and Anomaly Detection
    Haomin Wen: Carnegie Mellon University
    Shurui Cao: Carnegie Mellon University
    Zeeshan Rasheed: Novateur Research Solutions
    Khurram Hassan Shafique: Novateur Research Solutions
    Leman Akoglu: Carnegie Mellon University

  • 76R - Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper]
    Yueyang Liu: Emory University
    Lance Kennedy: Emory University
    Ruochen Kong: Emory University
    Joon-Seok Kim: Emory University
    Andreas Züfle: Emory University

  • 77R - NEXICA: Discovering Road Traffic Causality
    Siddharth Srikanth: University of Southern California
    John Krumm: University of Southern California
    Jonathan Qin: University of Southern California

  • 78R - A Sentinel-2 Benchmark and Deep-Learning Study for Wildfire Damage Mapping [Experiment]
    Valeria Martin: University of West Florida
    K. Brent Venable: University of West Florida and IHMC
    Derek Morgan: University of West Florida

  • 79R - LLM Agents for Georelating - A New Task for Locating Events
    Kai Moltzen: Leuphana University Lueneburg
    Junbo Huang: University of Hamburg
    Ricardo Usbeck: Leuphana University Lueneburg

  • 80R - Modeling Heterogeneity across Varying Spatial Extents: Discovering Linkages between Sea Ice Retreat and Ice Shelve Melt in the Antarctic
    Maloy Kumar Devnath: University of Maryland, Baltimore County
    Sudip Chakraborty: University of Maryland, Baltimore County

  • 81R - Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
    Debvrat Varshney: Oak Ridge National Laboratory
    Vibhas Vats: Indiana University
    Bhartendu Pandey (Oak Ridge National Laboratory)
    Christa Brelsford: Los Alamos National Laboratory
    Philipe Dias: Oak Ridge National Laboratory

  • 82R - Analysis of Artifacts of Parallel Micro-Traffic Simulation
    Joon-Seok Kim: Emory University
    Gautam Thakur: Oak Ridge National Laboratory
    Steven Christopher: Oak Ridge National Laboratory

  • 83R - AutoTracker: A Traffic Sign Change Detection System
    Yunyao Cheng: Aalborg University
    Christian Jensen: Aalborg University
    Kristian Torp: Aalborg University

Application Track

  • 84A - Weather-Driven Agricultural Decision-Making Under Imperfect Conditions
    Tamim Ahmed: Washington State University
    Monowar Hasan: Washington State University

  • 85A - The Maximum Coverage Model and Recommendation System for UAV Vertiports Location Planning
    Chunliang Hua: Southeast University
    Xiao Hu: International Digital Economy Academy
    Jiayang Sun: International Digital Economy Academy
    Zeyuan Yang: International Digital Economy Academy

  • 86A - MODyPer: Multi-Objective Dynamic Personalized Route Planning for Vulnerable Road Users
    Federica Rollo: University of Modena and Reggio Emilia
    Laura Po: University of Modena and Reggio Emilia

  • 87A - AddrRAG: Delivery Address Augmented Retrieval and Validation
    El Moundir Faraoun: Université Paris 8
    Nédra Mellouli: Université Paris 8
    Stéphane Millot: TALK solutions

  • 88A - Physics-Guided Multi-Contextual Learning: Understanding the Surface and Subsurface Processes in Southeast Greenland
    Chhaya Kulkarni: University of Maryland, Baltimore County
    Nicole-Jeanne Schlegel: NOAA
    Vandana Janeja: University of Maryland Baltimore County

  • 89A - Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting
    Kazi Ashik Islam: University of Virginia
    Zakaria Mehrab: University of Virginia
    Mahantesh Halappanavar: Pacific Northwest National Laboratory
    Henning Mortveit: University of Virginia
    Sridhar Katragadda: City of Virginia Beach
    Derek Loftis: Virginia Institute of Marine Science
    Madhav Marathe: University of Virginia

  • 90A - Graph symbolic regression to interpret the spread of Vesicular Stomatitis Virus across the U.S. and Mexico
    Tamanna Rashme: Mississippi State University
    Zonghan Zhang: Mississippi State University
    Jason Weeks: Mississippi State University
    Marouane Benbrahim: Mississippi State University
    Zijian Zhang: Mississippi State University
    Zhiqian Chen: Mississippi State Univerrsity
    Nisha Pillai: Mississippi State University
    Ram Ramkumar: Mississippi State University
    Bindu Nanduri: Mississippi State University

  • 92A - Benchmarking Geospatial Question Answering with MapQA
    Zekun Li: University of Minnesota
    Malcolm Grossman: University of Minnesota
    Ehsan Qasemi: Oracle
    Mihir Kulkarni: Pennsylvania State University
    Muhao Chen: University of California, Davis
    Yao-Yi Chiang: University of Minnesota

  • 93A - FoundationSoil: Enhancing Soil Organic Carbon Mapping Using a Multi-Temporal Geospatial Foundation Model
    Jiayi Song: University of Florida
    Chang Zhao: University of Florida
    Hao-Yu Liao: University of Florida
    Wei Shao: University of Florida

  • 94A - Mapping Cultural Ecosystem Services Using One-Shot In-Context Learning with Multimodal Large Language Models
    Hao-Yu Liao: University of Florida
    Chang Zhao: University of Florida
    Jiayi Song: University of Florida
    Wei Shao: University of Florida

  • 95A - Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
    Ziyi Guo: University of Florida
    Yan Wang: University of Florida

  • 96A - Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance
    Shangde Gao: University of Florida
    Zelin Xu: University of Florida
    Zhe Jiang: University of Florida

  • 97A - Leveraging Reinforcement Learning for Maternity Care Resource Reallocation: A Case Study in Florida
    Andy Qin: The University of Texas at Austin
    Yuhao Kang: The University of Texas at Austin
    Hanqi Li: Louisiana State University
    Shiqi Wang: University of Edinburgh
    Bing Zhou: The Pennsylvania State University
    Fahui Wang: Louisiana State University
    Peiyin Hung: University of South Carolina

Research 4: Best Papers Candidates (10:30 - 12:20)

Session Chair: Walid Aref

  • Efficient Spatial Joins on Large Geometry Sets
    Hannah Bast: University of Freiburg
    Patrick Brosi: University of Freiburg
    Johannes Kalmbach: University of Freiburg

  • HydroChronos: Forecasting Decades of Surface Water Change
    Daniele Rege Cambrin: Politecnico di Torino
    Eleonora Poeta: Politecnico di Torino
    Eliana Pastor: Politecnico di Torino
    Isaac Corley: Wherobots
    Tania Cerquitelli: Politecnico di Torino
    Elena Baralis: Politecnico di Torino
    Paolo Garza: Politecnico di Torino

  • One Model, Many Cities: A Transferable Social Relationship Inference Framework for Human Mobility Data **
    _    Chen Chu: University of Southern California
    Cyrus Shahabi: University of Southern California
    Emmanuel Tung: Novateur Research Solutions
    Khurram Shafique: Novateur Research Solutions_

  • CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding [Experiment]
    Huy Quang Ung: KDDI Research, Inc.
    Guillaume Habault: KDDI Research, Inc.
    Yasutaka Nishimura: KDDI Research, Inc.
    Hao Niu: KDDI Research, Inc.
    Roberto Legaspi: KDDI Research, Inc.
    Tomoki Oya: KDDI Research, Inc.
    Ryoichi Kojima: KDDI Research, Inc.
    Masato Taya: KDDI Research, Inc.
    Chihiro Ono: KDDI Research, Inc.
    Atsunori Minamikawa: KDDI Research, Inc.
    Yan Liu: University of Southern California

  • XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation [Experiment]
    Du Yin: University of New South Wales
    Hao Xue: University of New South Wales
    Arian Prabowo: UNSW
    Shuang Ao: University of New South Wales
    Flora Salim: University of New South Wales

  • FUSE-Traffic: Fusion of Unstructured and Structured data for Event-aware Traffic forecasting
    Chenyang Yu: University of North Texas
    Xinpeng Xie: University of North Texas
    Yan Huang: University of North Texas
    Chenxi Qiu: University of North Texas

Research 5: Spatiotemporal Learning 1: Casuality, Learning and Fairness (1:50 - 3:40)

Session Chair: Ahmed Eldawy

Location: Meridian 1/2

  • STOAT: Spatial-Temporal Probabilistic Causal Inference Network
    Yang Yang: University of New South Wales
    Du Yin: University of New South Wales
    Hao Xue: University of New South Wales
    Flora Salim: University of New South Wales

  • PROMIS: A Post-Processing Framework for Mitigating Spatial Bias
    Dimitris Kyriakopoulos: Athena Research Center
    Dimitris Sacharidis: Université Libre de Bruxelles
    Giorgos Giannopoulos: Athena Research Center
    Dimitris Gunopulos: National and Kapodistrian University of Athens
    Theodore Dalamagas: Athena Research Center

  • ConPro-GAIL: Interpretable Policy Learning via Conceptual Prototyping for Human Spatiotemporal Decision Understanding
    Ronilo Ragodos: University of Iowa
    Xun Zhou: Harbin Institute of Technology (Shenzhen)
    Tong Wang: Yale University
    Yajun Pan: Harbin Institute of Technology (Shenzhen)
    Jun Luo: Research & Technology Development, Logistics and Supply Chain MultiTech R&D Centre

  • CausalGRIT: Causal Graph Reasoning for Traffic Congestion Prediction – From Statistical Association to Casual Intervention
    Sheng Liu: General Motors
    Jun Ying: General Motors
    Fan Bai: General Motors

  • UQGNN: Uncertainty Quantification of Graph Neural Networks for Multimodal Spatiotemporal Prediction
    Dahai Yu: Florida State University
    Dingyi Zhuang: Massachusetts Institute of Technology
    Lin Jiang: Florida State University
    Rongchao Xu: Florida State University
    Xinyue Ye: Texas A&M University
    Yuheng Bu: University of Florida
    Shenhao Wang: University of Florida
    Guang Wang: Florida State University

  • Dynamic Budgeted Reinforcement Learning for Fairness in Spatial-Temporal Resource Allocation
    Yufan Kang: Monash University
    Jie Zhang: University of Electronic Science and Technology of China
    Wei Shao: Data61, CSIRO
    Rui Tang: Fuzhou University
    Mark Andrejevic: Monash University
    Jeffrey Chan: RMIT University
    Flora D. Salim: University of New South Wales

Research 6: Mobility 2: Mobility Representation and Behavior (4:10 - 6:00)

Session Chair: Emre Eftelioglu

Location: Meridian 1/2

  • Tesseract: Unfolding Navigable Graph Representations from Low-Semantic Floor Plans
    Yaqoob Ansari: Carnegie Mellon University
    Ammar Karkour: Carnegie Mellon University
    Eduardo Feo Flushing: Carnegie Mellon University
    Khaled A. Harras: Carnegie Mellon University

  • Understanding Vessel Mobility Behavior through the Identification and Labeling of Maritime Zones of Interest
    Omar Ghannou: Aix-Marseille Université, LIS, CNRS
    Etienne Thuillier: Aix-Marseille Université, LIS, CNRS
    Omar Boucelma: Aix-Marseille Université, LIS, CNRS

  • A Qualitative Evaluation of Distance Measures in Trajectory Data Clustering [Experiments]
    Max Galetskiy: University of Konstanz
    Johann Bornholdt: University of Konstanz
    Theodoros Chondrogiannis: NTNU
    Michael Grossniklaus: University of Konstanz

  • Crowd-Aware Itinerary Optimization via Clustered Multi-Agent Reinforcement Learning
    Razan Albayouk: University Of Sharjah
    Zaher Al Aghbari: University Of Sharjah
    Imad Afyouni: University Of Sharjah

  • Roaming Navigation-in-the-wild: How Pedestrians Subjectively Perceive Non-shortest Routes [Experiment]
    Keisuke Otaki: Toyota Central R&D Labs., Inc.
    Tomosuke Maeda: Toyota Central R&D Labs., Inc.
    Keiko Uemura: Toyota Central R&D Labs., Inc.
    Takayoshi Yoshimura: Toyota Central R&D Labs., Inc.

  • Quantifying the Impact of k-Anonymizing Trajectory Data on Common Traffic Management Use Cases [Experiment]
    Christian Fries: University of Münster
    Jan Kettler: University of Applied Sciences Osnabrück
    Thorsten Paßfeld: University of Applied Sciences Osnabrück
    Ralf Tönjes: University of Applied Sciences Osnabrück
    Christian Kray: University of Münster

Posters and Demos for Lightning Talks Session 2 (4:10 - 6:00)

Location: Meridian Foyer

  • The posters are the same as Lightning Talks Session 2 (Demos, Short Papers)

Day 4 - Thursday, November 6

Vision Session (9:00 - 10:30)

  • Human-as-a-Sensor: Harnessing Brain Signals for Intelligent Multimodal Sensing in Spatially-Aware Systems
    Sherif Mostafa: The American University in Cairo
    Khaled A. Harras: Carnegie Mellon University
    Moustafa Youssef: The American University in Cairo

  • A Future in Motion: Reimagining Public Transport with Diverse Autonomous Vehicles
    Muhammad Aamir Cheema: Monash University
    Muhammad Ali Babar: University of Adelaide
    Mohammed Eunus Ali: Monash University
    Mohammad Goudarzi: Monash University
    Walid G. Aref: Purdue University

  • Spatially Enhanced Quantum Optimization for Network Planning
    Yaron Kanza: AT&T
    Divesh Srivastava: AT&T

  • Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects
    Maria Despoina Siampou: University of Southern California
    Shang-Ling Hsu: University of Southern California
    Shushman Choudhury: Google Research
    Neha Arora: Google Research
    Cyrus Shahabi: University of Southern California

  • Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI
    Krzysztof Janowicz: University of Vienna
    Zilong Liu: University of Vienna
    Gengchen Mai: University of Texas at Austin
    Zhangyu Wang: University of Maine
    Ivan Majic: University of Vienna
    Alexandra Fortacz: University of Vienna
    Grant McKenzie: McGill University
    Song Gao: University of Wisconsin-Madison

  • Cognitive Foundation Agents for Generalizable Vision-and-Language Navigation
    Sherry Chalotra: University of Calgary
    Zhiqiang Jiang: University of Calgary
    Xin Wang: University of Calgary

  • A Vision for Structured Experiential Mobility Intelligence
    Manos Papagelis: York University

  • Lory: Location-aware Data Discovery from Data Lakes
    El Kindi Rezig: University of Utah
    Walid Aref: Purdue University

Research 7: Mobility 3: Prediction, Routing and Recommendation (11:00 - 12:30)

Session Chair: Mario Nascimento

Location: Meridian 1/2

  • M3: Multi-Scale Spatial Heterogeneity, Multi-Purpose, Multi-Stakeholder via Attention-based Graph Clustering for Green Attraction Recommendations in Transport
    Shih-Yu Lai: National Taiwan University
    Tzu-Hsin Hsieh: Technische Universiteit Delft
    Pei-Chi Tsai: University College London
    Chao-Chun Kung: OAOA Architecture Associates
    Sing-Kai Ling: 104 Corporation
    Hsun-Ping Hsieh: National Cheng Kung University

  • DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems
    Saeed Nasehibasharzad: The University of Melbourne
    Farhana Choudhury: The University of Melbourne
    Egemen Tanin: The University of Melbourne
    Majid Sarvi: The University of Melbourne

  • UGuideRAG: Intent-Enhanced Retrieval-Augmented Generation with User-Generated Content for Personalized Urban Tourism
    Jing Tang: University of Zurich
    Inhye Kong: University of Zurich
    Zhaonan Wang: New York University Shanghai

Application 2: Mobility/Transportation (11:00 - 12:30)

Session Chair: Song Gao

Location: Meridian 3/4

  • REALISM: A Regulatory Framework for Coordinated Scheduling in Multi-Operator Shared Micromobility Services
    Heng Tan: Lehigh University
    Hua Yan: Lehigh University
    Yukun Yuan: University of Tennessee at Chattanooga
    Guang Wang: Florida State University
    Yu Yang: Lehigh University

  • A Novel Evaluation Framework for 15-Minute City Using Satellite Imagery
    Chan Jae Song: KAIST
    Seong Yeub Chu: KAIST
    Jong Woo Kim: KAIST
    Mun Yong Yi: KAIST

  • Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals’ Mobility Beyond Visited Places
    Xinglei Wang: University College London
    Tao Cheng: University College London
    Stephen Law: University College London
    Zichao Zeng: University College London
    Ilya Ilyankou: University College London
    Junyuan Liu: University College London
    Lu Yin: University of Surrey
    Weiming Huang: University of Leeds
    Natchapon Jongwiriyanurak: University College London

  • Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning
    Min Namgung: University of Minnesota
    Janghyeon Lee: University of Minnesota
    Fangyi Ding: The University of Hong Kong
    Yao-Yi Chiang: University of Minnesota

  • MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation
    Nadia Asif: University of Tennessee at Chattanooga
    Zhiqing Hong: Rutgers University
    Shaogang Ren: University of Tennessee at Chattanooga
    Xiaonan Zhang: Florida State University
    Xiaojun Shang: University of Texas at Arlington
    Yukun Yuan: University of Tennessee at Chattanooga

Research 8: Spatiotemporal Learning 2: Models and Systems (02:00 - 03:30)

Session Chair: Martin Werner

Location: Meridian 1/2

  • KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning
    Mingzhi Hu: Worcester Polytechnic Institute
    Xin Zhang: San Diego State University
    Yanhua Li: Worcester Polytechnic Institute (WPI)
    Jun Luo: Research & Technology Development, Logistics and Supply Chain MultiTech R&D Centre

  • A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
    Haley Stone: University of New South Wales
    Jing Du: University of New South Wales
    Hao Xue: University of New South Wales
    Matthew Scotch: Arizona State University
    David Heslop: University of New South Wales
    Andreas Zufle: Emory University
    Raina MacIntyre: University of New South Wales
    Flora Salim: University of New South Wales

  • SynopsisLake: Quality-aware Approximate Spatial Query Processing Using Data Synopses
    Xin Zhang: University of California, Riverside
    Ahmed Eldawy: University of California, Riverside

  • A Deep Multilevel Approach for Non-Uniform Spatial Network Partitioning
    Alhassan Alshareedah: University of California, Riverside
    Amr Magdy: University of California, Riverside

  • Index-Driven Detection of Continuously Connected Groups in Spatio-Temporal Data Streams
    Andreas Morgen: University of Marburg
    Patrick Grieser: University of Marburg
    Bernhard Seeger: University of Marburg

Industry 2: Industry Applications in Spatial Data and Search (02:00 - 03:10)

Session Chair: Dev Oliver

Location: Room 2

  • Enhancing Point of Interest Search with Semantic and Spatial Information
    Yue Zhang: University of Delaware
    Xiaoan Ding: Amazon
    Zeyu Zhang: Amazon
    Adi Hajj-Ahmad: Amazon

  • 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.
    Noboru Koshizuka: The University of Tokyo

  • AddressBind: Cross-modal Alignment of Addresses and Geocodes
    Govind: Amazon
    Sayan Putatunda: Amazon
    Saurabh Sohoney: Amazon

  • 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
    Steven N. Minton: InferLink Corporation

Research 9: (03:10 - 03:30)

Session Chair: Dev Oliver

Location: Room 2

  • GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
    Gaspard Merten: Université libre de Bruxelles
    Gilles Dejaegere: Université libre de Bruxelles
    Mahmoud Sakr: Université libre de Bruxelles

Research 10: Climate, Environment, and Mapping (04:00 - 05:30)

Session Chair: Maria Luisa Damiani

Location: Meridian 1/2

  • ViT-RefineNet for Directional Signal Radio Map Reconstruction from Sparse Samples
    Lyuzhou Ye: University of North Texas
    Thanh Dat Le: University of North Texas
    Yan Huang: University of North Texas

  • Mapping the Storm: Geospatial Impacts of Severe Weather on LEO Network Performance
    Sina Ehsani: Armada
    Bhanu Pallakonda: Armada
    Pragyana K. Mishra: Armada

  • Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
    Xingchen Zou: The Hong Kong University of Science and Technology (Guangzhou)
    Jiani Huang: The Hong Kong Polytechnic University
    Xixuan Hao: The Hong Kong University of Science and Technology (Guangzhou)
    Yuhao Yang: University of Hong Kong
    Haomin Wen: Carnegie Mellon University
    Yibo Yan: The Hong Kong University of Science and Technology (Guangzhou)
    Chao Huang : University of Hong Kong
    Chao Chen: Chongqing University
    Yuxuan Liang : The Hong Kong University of Science and Technology (Guangzhou)

  • IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models [Benchmark]
    Zhili Li: University of Maryland, College Park
    Qi Cheng: University of Pittsburgh
    Ruohan Li: University of Maryland, College Park
    Feng Zhu: NSF National Center for Atmospheric Research
    Xiaowei Jia: University of Pittsburgh
    Yiqun Xie: University of Maryland

  • Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales
    Shiyuan Luo: University of Pittsburgh
    Runlong Yu: University of Pittsburgh
    Shengyu Chen: University of Pittsburgh
    Yingda Fan: University of Pittsburgh
    Yiqun Xie: University of Maryland
    Yanhua Li: Worcester Polytechnic Institute (WPI)
    Xiaowei Jia: university of pittsburgh

Application 3: Disaster/Urban Studies/Cartography (04:00 - 05:30)

Session Chair: Dalton Lunga

Location: Meridian 3/4

  • A Behavior-Informed and Geo-Context-Aware Home Detection Framework for Mobile Phone Positioning Data
    Ying Song: University of Minnesota
    Meicheng Xiong: University of Minnesota
    Xiaohuan Zeng: University of Minnesota
    Di Zhu: University of Minnesota

  • MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss
    Meenu Ravi: Virginia Tech
    Shailik Sarkar: Virginia Tech
    Yanshen Sun: Virginia Tech
    Vaishnavi Singh: Georgetown University
    Chang-Tien Lu: Virginia Tech

  • RADAR: Resource Allocation for Disaster Resilience in Senior Health Care
    Modeste Kenne Mefenya: University of California, Irvine
    Fernanda Ventorim: University of California, Irvine
    Chad Cossey: Orange County Health Care Agency
    Zhenghui Hu: ImageCat, Inc
    Julie Rousseau: University of California, Irvine
    Nalini Venkatasubramanian: University of California, Irvine

  • HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction
    Aishwarya Sarkar: Iowa State University
    Autrin Hakimi: Iowa State University
    Xiaoqiong Chen: Iowa State University
    Hai Huang: Iowa State University
    Chaoqun Lu: Iowa State University
    Ibrahim Demir: Tulane University
    Ali Jannesari: Iowa State University

  • Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
    Claudio Affolter: ETH Zurich
    Sidi Wu: ETH Zurich
    Yizi Chen: ETH Zurich
    Lorenz Hurni: ETH Zurich