Spatial Computing Lab at SIGSPATIAL 2024

Accepted Papers at SIGSPATIAL 2024

We had a strong presence at SIGSPATIAL 2024, with numerous papers accepted in both the main conference and associated workshops. These contributions demonstrate our team's dedication to advancing research in spatial data science, human mobility, and trajectory analysis. Below is an overview of the accepted works, categorized into main conference papers, workshop papers, and posters.

Accepted Papers in the Main Conference

The main conference saw the acceptance of five highly impactful papers from our team, including one nominated for the Best Paper award:

1. Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories (Best Paper Candidate)
   Authors: Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Zufle
   This paper proposes an innovative unsupervised framework for detecting outliers in semantic trajectories, offering enhanced transferability across datasets.

2. Collision-Risk-Aware Ship Routing
   Authors: Patrik Thomas Michalski, Niko Preuß, Matthias Renz, Andreas Tritsarolis, Yannis Theodoridis, Nikos Pelekis
   Focused on maritime safety, this work presents a routing method that minimizes collision risks by integrating spatial data and risk analysis.

3. The Patterns of Life Human Mobility Simulation
   Authors: Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew Crooks, Dieter Pfoser, Carola Wenk, Andreas Zufle
   This paper introduces a novel simulation framework to model human mobility patterns, aiding researchers in trajectory data analysis and predictive modeling.

4. An Infectious Disease Spread Simulation to Control Data Bias
   Authors: Ruochen Kong, Taylor Anderson, David Heslop, Andreas Zufle
   This research tackles the critical issue of bias in infectious disease modeling through a simulation-driven approach to refine predictive analytics.

5. Data and Resources for Combining Point of Interest Semantics, Locations, and Road Networks
   Authors: Joseph Zuber, Xu Teng, Andreas Zufle, Goce Trajcevski
   This paper presents a comprehensive dataset that combines semantic, spatial, and network information to support advanced spatial analytics.

Accepted Workshop Papers

Our team contributed six impactful papers to various workshops, focusing on simulation, anomaly detection, and trajectory analysis:

1. GeoLife+: Large-Scale Simulated Trajectory Data Calibrated to the GeoLife Dataset
   Authors: Hossein Amiri, Richard Yang, Andreas Züfle
   (GeoSim24)
   This work extends the GeoLife dataset by generating large-scale simulated trajectories calibrated to real-world data.

2. Large Language Models for Spatial Trajectory Patterns Mining
   Authors: Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, Liang Zhao
   (GeoAnomalies24)
   This research applies large language models to mine patterns in spatial trajectories, showcasing their potential in spatial anomaly detection.

3. Urban Anomalies: A Simulated Human Mobility Dataset with Injected Anomalies
   Authors: Hossein Amiri, Ruochen Kong, Andreas Züfle
   (GeoAnomalies24)
   A dataset of urban human mobility with synthetic anomalies for testing detection algorithms is presented.

4. Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
   Authors: Yueyang Liu, Lance Kennedy, Hossein Amiri, Andreas Züfle
   (GeoAnomalies24)
   This paper uses neural collaborative filtering to identify anomalies in semantic trajectory data effectively.

5. Kinematic Detection of Anomalies in Human Trajectory Data
   Authors: Lance Kennedy, Andreas Züfle
   (GeoAnomalies24)
   A novel approach for anomaly detection in human trajectory datasets, emphasizing kinematic features, is introduced.

Presented as Posters

The poster session featured an impressive five presentations by our team, covering various aspects of mobility data science and simulation:

1. In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper)
   Authors: Andreas Züfle, Dieter Pfoser, Carola Wenk, Andrew Crooks, Hamdi Kavak, Taylor Anderson, Joon-Seok Kim, Nathan Holt, Andrew Diantonio
   This vision paper highlights the transformative potential of simulated mobility data in human mobility research.

2. Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread
   Authors: Andreas Züfle, Flora Salim, Taylor Anderson, Matthew Scotch, Li Xiong, et al.
   This poster explores how simulation data can reveal and address biases in infectious disease prediction models.

3. Mobility Data Science: Perspectives and Challenges
   Authors: Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, et al.
   A collaborative effort discussing the current trends, challenges, and future directions in mobility data science.

4. The Patterns of Life Human Mobility Simulation
   Authors: Hossein Amiri, Will Kohn, Shiyang Ruan, et al.
   A re-presentation of our main conference paper in the poster format for broader engagement.

5. An Infectious Disease Spread Simulation to Control Data Bias
   Authors: Ruochen Kong, Taylor Anderson, David Heslop, Andreas Zufle
   Another main conference paper revisited in poster form to engage with a wider audience.

Conclusion

Our contributions to SIGSPATIAL 2024 underscore the diversity and depth of our research. From main conference papers to workshop papers and posters, we showcased advancements across multiple domains, reinforcing our position as leaders in spatial and mobility data science.