Recent Publications

Hossein Amiri

Conducting research and publishing papers is a passion we deeply embrace here.

2024:
  1. Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Zufle. “The Patterns of Life Human Mobility Simulation”. In: arXiv preprint arXiv:2410.00185 (2024).
  2. Hossein Amiri, Ruochen Kong, and Andreas Züfle. “Urban Anomalies: A Simulated Human Mobility Dataset with Injected Anomalies”. In: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection. 2024, pp. 1–11.
  3. Hossein Amiri, Richard Yang, and Andreas Züfle. “GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset”. In: Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation. 2024, pp. 25–28.
  4. Shrey Gupta, Yongbee Park, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani, and Yang Liu. “Spatial Transfer Learning for Estimating PM 2.5 in Data-Poor Regions”. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer Nature Switzerland Cham. 2024, pp. 385–400.
  5. Shrey Gupta, Yongbee Park, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani, and Yang Liu. “Transfer Learning via Latent Dependency Factor for Estimating PM 2.5”. In: arXiv preprint arXiv:2404.07308 (2024).
  6. Lance Kennedy and Andreas Züfle. “Kinematic Detection of Anomalies in Human Trajectory Data”. In: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection. 2024, pp. 94–97.
  7. Hao Li, Abhishek Potnis, Wenwen Li, Dalton Lunga, Martin Werner, and Andreas Züfle. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data. 2024.
  8. Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, and Liang Zhao. “Source Localization for Cross Network Information Diffusion”. In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2024, pp. 5419–5429.
  9. Yueyang Liu, Lance Kennedy, Hossein Amiri, and Andreas Züfle. “Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories”. In: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection. 2024, pp. 79–89.
  10. Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, Jussara Almeida, Taylor Anderson, Walid Aref, Gennady Andrienko, Natalia Andrienko, Yang Cao, et al. “Mobility Data Science: Perspectives and Challenges”. In: ACM Transactions on Spatial Algorithms and Systems (2024).
  11. Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, and Andreas Zufle. “Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories”. In: arXiv preprint arXiv:2410.00054 (2024).
  12. Andreas Züfle, Dieter Pfoser, Carola Wenk, Andrew Crooks, Hamdi Kavak, Taylor Anderson, Joon-Seok Kim, Nathan Holt, and Andrew Diantonio. “In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper)”. In: ACM Transactions on Spatial Algorithms and Systems 10.2 (2024), pp. 1–27.
  13. Andreas Züfle, Flora Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David Heslop, Hye-Young Paik, et al. “Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread”. In: ACM Transactions on Spatial Algorithms and Systems (2024).

2023:

  1. Hossein Amiri, Shiyang Ruan, Joon-Seok Kim, Hyunjee Jin, Hamdi Kavak, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Zufle. “Massive Trajectory Data Based on Patterns of Life”. In: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. 2023, pp. 1–4.
  2. Taylor Anderson, Joon-Seok Kim, Amira Roess, and Andreas Züfle. Proceedings of the 4th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. 2023.
  3. Taylor Anderson, Joon-Seok Kim, Amira Roess, and Andreas Züfle. “SpatialEpi’2022 Workshop Report: The 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology”. In: SIGSPATIAL Special 14.1 (2023), pp. 28–31.
  4. Zheng Baihua, Mohamed Mokbel, Mario A Nascimento, Chiara Renso, Karine Zeitouni, and Andreas Züfle. “Message from the PC and General co-Chairs SSTD 2023”. In: ACM International Conference Proceeding Series. 2023, pp. VI–VII.
  5. Xiqi Fei, Minh Tri Le, Duy H Thai, Konrad Wessels, and Andreas Züfle. “Semi-Supervised Satellite Image Segmentation Using Spatial and Temporally Informed Poisson Learning”. In: IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2023, pp. 5642–5645.
  6. Thomas Frohwein, Zachary Garwood, Dylan Hampton, Kevin Knack, Nate Schenck, Britney Yu, Joe Zuber, Goce Trajcevski, Xu Teng, and Andreas Züfle. “RouteDOC: Routing with Distance, Origin and Category Constraints (Demonstration Paper)”. In: Proceedings of the 18th International Symposium on Spatial and Temporal Data. 2023, pp. 185–188.
  7. Ketevan Gallagher, Taylor Anderson, Andrew Crooks, and Andreas Züfle. “Synthetic Geosocial Network Generation”. In: Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising. 2023, pp. 15–24.
  8. KETEVAN GALLAGHER, Andreas Züfle, and Taylor Anderson. “Implementing Spatial Social Networks with Real World Data”. In: Journal of Student-Scientists’ Research 5 (2023).
  9. Bradley A Gay, Andreas E Züfle, Amanda H Armstrong, Neal J Pastick, Jennifer D Watts, Paul A Dirmeyer, Kimberley R Miner, Konrad J Wessels, John J Qu, and Charles E Miller. “Investigating high-latitude permafrost carbon dynamics with artificial intelligence and Earth system data assimilation”. In: Authorea Preprints (2023).
  10. Dora B Heras, Dalton Lunga, and Andreas Züfle. “Searching and Mining Large Collections of Geospatial Data (GeoSearch 2023) Nov. 13, 2023, Hamburg, Germany”. In: (2023).
  11. Will Kohn, Hossein Amiri, and Andreas Züfle. “EPIPOL: An Epidemiological Patterns of Life Simulation (Demonstration Paper)”. In: Proceedings of the 4th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. 2023, pp. 13–16.
  12. John Krumm, Cyrus Shahabi, and Andreas Züfle. “Spatial Gems 2022 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Spatial Gems”. In: SIGSPATIAL Special 14.1 (2023), pp. 45–47.
  13. Xiangqiang Min, Dieter Pfoser, Andreas Züfle, Yehua Sheng, and Yi Huang. “The Partition Bridge (PB) tree: Efficient nearest neighbor query processing on road networks”. In: Information Systems 118 (2023), p. 102256.
  14. Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, Jussara Almeida, Taylor Anderson, Walid Aref, Gennady Andrienko, Natalia Andrienko, Yang Cao, et al. “Towards mobility data science (vision paper)”. In: arXiv preprint arXiv:2307.05717 (2023).
  15. Xu Teng, Goce Trajcevski, and Andreas Züfle. “Distance, Origin and Category Constrained Paths”. In: ACM Transactions on Spatial Algorithms and Systems 9.3 (2023), pp. 1–27.
  16. Xu Teng, Goce Trajcevski, and Andreas Züfle. “Searching semantically diverse paths”. In: Distributed and Parallel Databases 41.4 (2023), pp. 603–638.
  17. Duy H Thai, Xiqi Fei, Minh Tri Le, Andreas Züfle, and Konrad Wessels. “Riesz-Quincunx-UNet Variational Auto-Encoder for Unsupervised Satellite Image Denoising”. In: IEEE Transactions on Geoscience and Remote Sensing (2023).
  18. Mengxuan Zhang, Lei Li, Goce Trajcevski, Andreas Züfle, and Xiaofang Zhou. “Parallel hub labeling maintenance with high efficiency in dynamic small-world networks”. In: IEEE Transactions on Knowledge and Data Engineering 35.11 (2023), pp. 11751–11768.
  19. Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, and Liang Zhao. “Large language models for spatial trajectory patterns mining”. In: arXiv preprint arXiv:2310.04942 (2023).
  20. Andreas Züfle. “Probabilistic counting in uncertain spatial databases using generating functions”. In: Spatial Gems, Volume 2. 2023, pp. 85–96.
  21. Andreas Züfle, Taylor Anderson, Hamdi Kavak, Dieter Pfoser, Joon-Seok Kim, and Amira Roess. “GeoAI for Public Health”. In: Handbook of Geospatial Artificial Intelligence (2023), p. 305.
  22. Andreas Züfle, Carola Wenk, Dieter Pfoser, Andrew Crooks, Joon-Seok Kim, Hamdi Kavak, Umar Manzoor, and Hyunjee Jin. “Urban life: a model of people and places”. In: Computational and Mathematical Organization Theory 29.1 (2023), pp. 20–51.

2022

  1. Ahmed Askar. “A Framework to Explore Spatio-Temporal Surveillance of Adverse Events For Post Market Approved Drugs & Vaccines”. PhD thesis. George Mason University, 2022.
  2. Kuldip Singh Atwal, Taylor Anderson, Dieter Pfoser, and Andreas Züfle. “Predicting building types using OpenStreetMap”. In: Scientific Reports 12.1 (2022), p. 19976.
  3. Ketevan Gallagher, Srihan Kotnana, Sachin Satishkumar, Kheya Siripurapu, Justin Elarde, Taylor Anderson, Andreas Züfle, and Hamdi Kavak. “Human mobility-based synthetic social network generation”. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility. 2022, pp. 23–26.
  4. Srihan Kotnana, David Han, Taylor Anderson, Andreas Züfle, and Hamdi Kavak. “Using Generative Adversarial Networks to Assist Synthetic Population Creation for Simulations”. In: 2022 Annual Modeling and Simulation Conference (ANNSIM). 2022, pp. 1–12.
  5. John Krumm, Andreas Züfle, and Cyrus Shahabi. Spatial Gems, Volume 1. 2022.
  6. Minh Tri Le, David Attaway, Taylor Anderson, Hamdi Kavak, Amira Roess, and Andreas Züfle. “Phyloview: A system to visualize the ecology of infectious diseases using phylogenetic data”. In: 2022 23rd IEEE International Conference on Mobile Data Management (MDM). IEEE. 2022, pp. 222–229.
  7. Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, et al. “Dagstuhl Reports, Vol. 12, Issue 1 ISSN 2192-5283”. In: (2022).
  8. Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, Jussara Almeida, Taylor Anderson, Walid Aref, Gennady Andrienko, Natalia Andrienko, Yang Cao, et al. “Mobility data science (dagstuhl seminar 22021)”. In: Dagstuhl reports. Vol. 12. 1. Schloss Dagstuhl-Leibniz-Zentrum für Informatik. 2022.
  9. Anish Susarla, Austin Liu, Duy Hoang Thai, Minh Tri Le, and Andreas Züfle. “Spatiotemporal disease case prediction using contrastive predictive coding”. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. 2022, pp. 26–34.
  10. Andreas Züfle, Song Gao, and Taylor Anderson. Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 2. 2022.

2021:

  1. Taylor Anderson, Jia Yu, Amira Roess, Hamdi Kavak, Joon-Seok Kim, and Andreas Züfle. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. 2021.
  2. Taylor Anderson, Jia Yu, and Andreas Züfle. “The 1st ACM sigspatial international workshop on modeling and understanding the spread of covid-19”. In: SIGSPATIAL Special 12.3 (2021), pp. 35–40.
  3. Ahmed Askar and Andreas Zuefle. “Clustering of Adverse Events of Post-Market Approved Drugs”. In: Proceedings of the 17th International Symposium on Spatial and Temporal Databases. 2021, pp. 106–115.
  4. Gabriele Cavallaro, Dora B Heras, Dalton Lunga, Martin Werner, and Andreas Züfle. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data. 2021.
  5. Justin Elarde, Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, and Taylor Anderson. “Change of human mobility during COVID-19: A United States case study”. In: PloS one 16.11 (2021), e0259031.
  6. Xiqi Fei, Konrad Wessels, Dieter Pfoser, Andreas Züfle, and Olga Gkountouna. “Influence of Geographic Distance on CNN Generalization for Satellite Image Classification”. In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE. 2021, pp. 4976–4979.
  7. Samiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson, Amira Roess, Timothy F Leslie, Hamdi Kavak, and Andreas Züfle. “Spatiotemporal prediction of foot traffic”. In: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising. 2021, pp. 1–8.
  8. DARIUS KIANERSI, Amira Roess, Hamdi Kavak, Tim Leslie, Andreas Züfle, and Taylor Anderson. “Agent-based simulation of human mobility using high-resolution foot-traffic data”. In: Journal of Student-Scientists’ Research 3 (2021).
  9. Joon-Seok Kim, Taylor Anderson, Ashwin Shashidharan, and Andreas Züfle. “The 3rd ACM sigspatial international workshop on geospatial simulation: geosim 2020 workshop report”. In: SIGSPATIAL Special 12.3 (2021), pp. 11–14.
  10. SRIHAN KOTNANA, Taylor Anderson, Andreas Züfle, and Hamdi Kavak. “Evaluation of Synthetic Population Data Created Using Generative Adversarial Networks”. In: Journal of Student-Scientists’ Research 3 (2021).
  11. John Krumm, Cyrus Shahabi, and Andreas Züfle. “The 2nd ACM SIGSPATIAL International Workshop on Spatial Gems: Spatial Gems 2020 workshop report”. In: SIGSPATIAL Special 12.3 (2021), pp. 32–34.
  12. NICOLE LIANG, Taylor Anderson, Andreas Züfle, Hamdi Kavak, and Amira Roess. “Analysis of COVID-19 Genome Data in the US”. In: Journal of Student-Scientists’ Research 3 (2021).
  13. Umar Manzoor, Carola Wenk, Hamdi Kavak, Joon-Seok Kim, Andrew Crooks, Dieter Pfoser, Andreas Züfle, and Carola Wenk. “Towards Large-Scale Agent-Based Geospatial Simulation”. In: International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation. 2021.
  14. Xiangqiang Min, Dieter Pfoser, Andreas Züfle, and Yehua Sheng. “A hierarchical spatial network index for arbitrarily distributed spatial objects”. In: ISPRS International Journal of Geo-Information 10.12 (2021), p. 814.
  15. Xu Teng, Goce Trajcevski, and Andreas Züfle. “Semantically diverse paths with range and origin constraints”. In: Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021, pp. 375–378.
  16. Andreas Zuefle, Konrad Wessels, and Dieter Pfoser. “Mining high resolution earth observation data cubes”. In: Proceedings of the 17th International Symposium on Spatial and Temporal Databases. 2021, pp. 152–156.
  17. Andreas Züfle. “Uncertain spatial data management: An overview”. In: Handbook of Big Geospatial Data, Springer Nature (2021), pp. 355–398.
  18. Andreas Züfle and Martin Werner. “Introduction to this special issue: SIGSPATIAL 2020 event reports”. In: SIGSPATIAL Special 12.3 (2021), pp. 1–2.

2020:

  1. Taylor Anderson, Jia Yu, and Andreas Züfle. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19. 2020.
  2. Olga Gkountouna, Dieter Pfoser, and Andreas Züfle. “Traffic flow estimation using probe vehicle data”. In: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. 2020, pp. 579–588.
  3. Joon-Seok Kim, Hyunjee Jin, Hamdi Kavak, Ovi Chris Rouly, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Züfle. “Location-based social network data generation based on patterns of life”. In: 2020 21st IEEE International Conference on Mobile Data Management (MDM). IEEE. 2020, pp. 158–167.
  4. Joon-Seok Kim, Hyunjee Jin, and Andreas Züfle. “Expert-in-the-loop prescriptive analytics using mobility intervention for epidemics”. In: 1st ACM KDD International Workshop on Prescriptive Analytics for the Physical World (PAPW 2020). 2020, p. 4.
  5. Joon-Seok Kim, Hamdi Kavak, Dieter Pfoser, Andrew Crooks, Carola Wenk, and Sarah Wise. “Geosim 2019 workshop report: The 2nd acm sigspatial international workshop on geospatial simulation”. In: SIGSPATIAL Special 11.3 (2020), pp. 20–22.
  6. Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, and Taylor Anderson. “COVID-19 ensemble models using representative clustering”. In: SIGSPATIAL Special 12.2 (2020), pp. 33–41.
  7. Joon-Seok Kim, Dieter Pfoser, and Andreas Züfle. “Vehicle relocation for ride-hailing”. In: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. 2020, pp. 589–598.
  8. John Krumm, Cyrus Shahabi, and Andreas Züfle. “Spatial gems 2019 workshop report: The 1st ACM SIGSPATIAL International Workshop on Spatial Gems”. In: SIGSPATIAL Special 11.3 (2020), pp. 15–17.
  9. Regine Meunier, Tobias Emrich, Christian Frey, Matthias Renz, and Andreas Zuefle. Efficient data propagation in a computer network. US Patent App. 16/463,934. Dec. 2020.
  10. John Pesavento, Andy Chen, Rayan Yu, Joon-Seok Kim, Hamdi Kavak, Taylor Anderson, and Andreas Züfle. “Data-driven mobility models for COVID-19 simulation”. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. 2020, pp. 29–38.
  11. JOHN PESAVENTO, ANDY CHEN, RAYAN YU, and Andreas Züfle. “Using Agent-based Simulations with Latent Dirichlet Allocation Topic Modeling on Mobile Location Data to Prescribe COVID-19 Interventions”. In: Journal of Student-Scientists’ Research 2 (2020).
  12. Aisha Sikder and Andreas Züfle. “Augmenting geostatistics with matrix factorization: a case study for house price estimation”. In: ISPRS International Journal of Geo-Information 9.5 (2020), p. 288.
  13. Xu Teng, Goce Trajcevski, Joon-Seok Kim, and Andreas Züfle. “Semantically diverse path search”. In: 2020 21st IEEE International Conference on Mobile Data Management (MDM). IEEE. 2020, pp. 69–78.
  14. RAYAN YU, ANDY CHEN, JOHN PESAVENTO, Taylor Anderson, Andreas Züfle, Hamdi Kavak, and Joon-Seok Kim. “Ensemble Learning Interpretation of COVID-19 Simulation Models Through Clustering Latent Feature Representations and Aggregated Time-Series Forecasts with Deep Learning”. In: Journal of Student-Scientists’ Research 2 (2020).
  15. Xiaoyi Yuan, Andrew Crooks, and Andreas Züfle. “A thematic similarity network approach for analysis of places using volunteered geographic information”. In: ISPRS International Journal of Geo-Information 9.6 (2020), p. 385.
  16. Liming Zhang, Dieter Pfoser, and Andreas Züfle. “Station-to-user transfer learning: Towards explainable user clustering through latent trip signatures using tidal-regularized non-negative matrix factorization”. In: Proceedings of the 28th International Conference on Advances in Geographic Information Systems. 2020, pp. 303–313.
  17. Andreas Züfle and Taylor Anderson. “Introduction to this special issue: Modeling and understanding the spread of COVID-19: (part II)”. In: SIGSPATIAL Special 12.2 (2020), pp. 1–2.
  18. Andreas Züfle, Goce Trajcevski, Dieter Pfoser, and Joon-Seok Kim. “Managing uncertainty in evolving geo-spatial data”. In: 2020 21st IEEE International Conference on Mobile Data Management (MDM). IEEE. 2020, pp. 5–8.
Complete list of the publications on Google Scholar