ACM SIGSPATIAL 2025 – Accepted Research Papers

  • 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 Schindler (ETH Zurich) and Peter Kiefer (ETH Zurich)
  • 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) and Flora Salim (University of New South Wales)
  • 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.) and 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) and Shashi Shekhar (University of Minnesota)
  • ViT-RefineNet for Directional Signal Radio Map Reconstruction from Sparse Samples
    Lyuzhou Ye (University of North Texas), Thanh Dat Le (University of North Texas) and Yan Huang (University of North Texas)
  • Graph Enhanced Trajectory Anomaly Detection
    Jonathan Mbuya (George Mason University), Dieter Pfoser (George Mason University) and Antonios Anastasopoulos (George Mason University)
  • SpatialGPT: Zero-Shot Vision-and-Language Navigation via Spatial CoT over Structured Spatial Memory
    Zhiqiang Jiang (University of Calgary) and Xin Wang (University of Calgary)
  • 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.) and Yan Liu (University of Southern California)
  • 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) and Meiliu Wu (University of Glasgow)
  • Efficient Spatial Joins on Large Geometry Sets
    Hannah Bast (University of Freiburg), Patrick Brosi (University of Freiburg) and Johannes Kalmbach (University of Freiburg)
  • Estimating Traffic in Urban Area Using Public Transit Buses as Probes
    Bahare Salehi (Université Libre de Bruxelles (ULB)) and Mahmoud Sakr (Université Libre de Bruxelles)
  • 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) and Theodore Dalamagas (Athena Research Center)
  • 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) and Flora Salim (University of New South Wales)
  • KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning
    Mingzhi Hu (Worcester Polytechnic Institute), Xin Zhang (University of California, Riverside), Yanhua Li (Worcester Polytechnic Institute (WPI)) and Jun Luo (Research & Technology Development, Logistics and Supply Chain MultiTech R&D Centre)
  • 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) and Yiqun Xie (University of Maryland)
  • GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
    Gaspard Merten (Université libre de Bruxelles), Gilles Dejaegere (Université libre de Bruxelles) and Mahmoud Sakr (Université Libre de Bruxelles)
  • 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) and 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) and Omar Boucelma (Aix-Marseille Université, LIS, CNRS)
  • 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) and Cyrus Shahabi (University of Southern California)
  • 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) and Abigail L. Horn (University of Southern California)
  • 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) and Chenxi Qiu (University of North Texas)
  • Index-Driven Detection of Continuously Connected Groups in Spatio-Temporal Data Streams
    Andreas Morgen (University of Marburg), Patrick Grieser (University of Marburg) and Bernhard Seeger (University of Marburg)
  • 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) and Flora Salim (University of New South Wales)
  • UniMove: A Unified Model for Multi-city Human Mobility Prediction
    Chonghua Han (Tsinghua University), Yuan Yuan (Tsinghua University), Yukun Liu (Tsinghua University), Jingtao Ding (Tsinghua University), Jie Feng (Department of Electronic Engineering, Tsinghua University) and Yong Li (Tsinghua University)
  • Crowd-Aware Itinerary Optimization via Clustered Multi-Agent Reinforcement Learning
    Razan Albayouk (University Of Sharjah), Zaher Al Aghbari (University of Sharjah) and Imad Afyouni (University of Sharjah)
  • 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) and Zhe Jiang (University of Florida)
  • 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) and Hsun-Ping Hsieh (National Cheng Kung University)
  • 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) and Guang Wang (Florida State University)
  • 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) and Khurram Shafique (Novateur Research Solutions)
  • 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) and 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) and Zhaonan Wang (New York University Shanghai)
  • SynopsisLake: Quality-aware Approximate Spatial Query Processing Using Data Synopses
    Xin Zhang (University of California, Riverside) and Ahmed Eldawy (University of California, Riverside)
  • 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)) and Xiaowei Jia (University of Pittsburgh)
  • 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.) and Takayoshi Yoshimura (Toyota Central R&D Labs., Inc.)
  • 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)) and Jun Luo (Research & Technology Development, Logistics and Supply Chain MultiTech R&D Centre)
  • Mapping the Storm: Geospatial Impacts of Severe Weather on LEO Network Performance
    Sina Ehsani (Armada), Bhanu Pallakonda (Armada) and Pragyana K. Mishra (Armada)
  • CausalGRIT: Causal Graph Reasoning for Traffic Congestion Prediction – From Statistical Association to Casual Intervention
    Sheng Liu (General Motors), Jun Ying (General Motors) and Fan Bai (General Motors)
  • 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) and Masamichi Shimosaka (Institute of Science Tokyo)
  • 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) and Christian Kray (University of Münster)
  • Modeling Collective Behaviors for Human Mobility Anomaly Detection
    Haomin Wen (Carnegie Mellon University), Shurui Cao (Carnegie Mellon University) and Leman Akoglu (Carnegie Mellon University)
  • 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) and Xin Huang (Towson University)
  • A Deep Multilevel Approach for Non-Uniform Spatial Network Partitioning
    Alhassan Alshareedah (University of California, Riverside) and Amr Magdy (University of California, Riverside)
  • 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) and Xueqin Chen (Kash Institute of Electronics and Information Industry)
  • 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) and Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))
  • Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning
    Yuan Yuan (Tsinghua University), Yukun Liu (Tsinghua University), Chonghua Han (Tsinghua University), Jie Feng (Department of Electronic Engineering, Tsinghua University) and Yong Li (Tsinghua University)
  • 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) and Piotr Szymański (Wrocław University of Science and Technology)
  • HydroChronos: Forecasting Decades of Surface Water Change [Benchmark]
    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) and Paolo Garza (Politecnico di Torino)
  • UM3: Unsupervised Map to Map Matching
    Chaolong Ying (The Chinese University of Hong Kong, Shenzhen), Yinan Zhang (The Chinese University of Hong Kong, Shenzhen), Lei Zhang (The Chinese University of Hong Kong, Shenzhen), Jiazhuang Wang (MXNavi Co.,Ltd.), Shujun Jia (MXNavi Co.,Ltd.) and Tianshu Yu (The Chinese University of Hong Kong, Shenzhen)
  • A Qualitative Evaluation of Distance Measures in Trajectory Data Clustering [Experiments]
    Max Galetskiy (University of Konstanz), Johann Bornholdt (University of Konstanz), Theodoros Chondrogiannis (NTNU) and Michael Grossniklaus (University of Konstanz)
  • 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) and Flora D. Salim (University of New South Wales)
  • Short Papers

  • 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) and Flora Salim (University of New South Wales)
  • 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) and Oded Cats (Department of Transport & Planning, Delft University of Technology)
  • 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) and Zhili Li (University of Maryland, College Park)
  • SGV: Scalable Geospatial Graph Visualization
    Tarlan Bahadori (University of California, Riverside), Alvin Chiu (University of California, Irvine), Ahmed Eldawy (University of California, Riverside) and Michael Goodrich (University of California, Irvine)
  • 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) and Sangmi Pallickara (Colorado State University)
  • 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) and Yong Li (Tsinghua University)
  • 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) and Esther Arkin (Department of Applied Mathematics and Statistics, Stony Brook University)
  • 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) and Satish Puri (Missouri University of Science and Technology)
  • Foundation Models for Semantic Segmentation of Thick/Thin Clouds and Cloud-shadows: A Comparative Study [Experiment]
    Calvin Nguyen (North Carolina State University) and Ranga Vatsavai (North Carolina State University)
  • Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern
    Ziyi Liu (Tsinghua University), Qingyue Long (Tsinghua University) and Yong Li (Tsinghua University)
  • 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) and Steffen Zeuch (BIFOLD, TU-Berlin)
  • GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
    Wilson Wongso (UNSW), Hao Xue (University of New South Wales) and Flora Salim (University of New South Wales)
  • 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) and Andreas Züfle (Emory University)
  • Reducing Congestion and Search Time via Smart Street Parking
    Behafarid Hemmatpour (IMDEA Networks Institute), Javad Dogani (IMDEA Networks Institute) and Nikolaos Laoutaris (IMDEA Networks Institute)
  • 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) and Nicole-Jeanne Schlegel (NOAA)
  • TrajNS: Numerical and Semantic Modeling Framework for Realistic and Controllable Trajectory Generation
    Dimuthu Lakmal (University of Melbourne), Renata Borovica-Gajic (University of Melbourne) and Shanika Karunasekera (University of Melbourne)
  • 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) and Yoshihide Sekimoto (Center for Spatial Information Science, The University of Tokyo)
  • 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) and Leman Akoglu (Carnegie Mellon University)
  • 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) and Andreas Züfle (Emory University)
  • NEXICA: Discovering Road Traffic Causality
    Siddharth Srikanth (University of Southern California), John Krumm (University of Southern California) and Jonathan Qin (University of Southern California)
  • 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) and Derek Morgan (University of West Florida)
  • LLM Agents for Georelating - A New Task for Locating Events
    Kai Moltzen (Leuphana University Lueneburg), Junbo Huang (University of Hamburg) and Ricardo Usbeck (Leuphana University Lueneburg)
  • 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) and Sudip Chakraborty (University of Maryland, Baltimore County)
  • Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
    Debvrat Varshney (Oak Ridge National Laboratory), Vibhas Vats (Indiana University), Christa Brelsford (Los Alamos National Laboratory) and Philipe Dias (Oak Ridge National Laboratory)
  • Analysis of Artifacts of Parallel Micro-Traffic Simulation
    Joon-Seok Kim (Emory University), Gautam Thakur (Oak Ridge National Laboratory) and Steven Christopher (Oak Ridge National Laboratory)
  • AutoTracker: A Traffic Sign Change Detection System
    Yunyao Cheng (Aalborg University), Christian Jensen (Aalborg University) and Kristian Torp (Aalborg University)