2 citations · 3 across the 14 of their papers we have counts for
15 papers
Synthetic Wastewater Epidemiology Data Generation using Patterns-of-Life Simulation
Hossein Amiri, Mohammad Hashemi, Akshay Deverakonda +3
Wastewater contains rich biological signals that can be used to monitor population health, track infectious diseases, and detect emerging outbreaks. Pathogens and other biomarkers…
Mobility and Contact Networks Shape Epidemic Outcomes: A Large-Scale Agent-Based Modeling Study
Kuldip Singh Atwal, Emma Von Hoene, Hossein Amiri +3
Human mobility plays a central role in shaping contact patterns that drive infectious disease transmission, yet mobility is often simplified in agent-based models (ABMs) due to dat…
Staypoint Detection from Noisy Trajectory Data [Experiment Paper]
Lance Kennedy, Hossein Amiri, Yueyang Liu +9
Detecting staypoints from raw trajectory data is fundamental to numerous spatial computing applications. This process transforms raw numeric sequences of geolocations into semantic…
Simulating Public Transit Fare Policies in NYC: An Efficient, Socioeconomic-Aware Framework
Parker Wischhover, Hossein Amiri, Kiara Ha +4
Designing equitable and effective public transit fare policies is challenging due to complex interactions among traveler behavior, multimodal networks, and socioeconomic heterogene…
Where Do We Poop? City-Wide Simulation of Defecation Behavior for Wastewater-Based Epidemiology
Hossein Amiri, Akshay Deverakonda, Yuke Wang +1
Wastewater surveillance, which regularly measures pathogen biomarkers in wastewater samples, is a valuable tool for monitoring infectious diseases circulating in communities. Yet,…
HD-GEN: A High-Performance Software System for Human Mobility Data Generation Based on Patterns of Life
Hossein Amiri, Joon-Seok Kim, Hamdi Kavak +4
Understanding individual-level human mobility is critical for a wide range of applications. Real-world trajectory datasets provide valuable insights into movement behaviors and pat…
World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Data
Hossein Amiri, Mohammad Hashemi, Andreas Züfle
Recently, Foursquare released a global dataset with more than 100 million points of interest (POIs), each representing a real-world business on its platform. However, many entries…
PlaceRep: Geospatial Place Representation Learning from Large-Scale Point-of-Interest Data
Mohammad Hashemi, Hossein Amiri, Andreas Zufle
Learning effective representations of urban environments requires capturing spatial structure beyond fixed administrative boundaries. Existing geospatial representation learning ap…
Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
Timothy F Leslie, Hossein Amiri, Andreas Züfle
We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregat…
Urban Anomalies: A Simulated Human Mobility Dataset with Injected Anomalies
Hossein Amiri, Ruochen Kong, Andreas Zufle
Human mobility anomaly detection based on location is essential in areas such as public health, safety, welfare, and urban planning. Developing models and approaches for location-b…
The Patterns of Life Human Mobility Simulation
Hossein Amiri, Will Kohn, Shiyang Ruan +6
We demonstrate the Patterns of Life Simulation to create realistic simulations of human mobility in a city. This simulation has recently been used to generate massive amounts of tr…
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
Zheng Zhang, Hossein Amiri, Dazhou Yu +3
Semantic trajectories, which enrich spatial-temporal data with textual information such as trip purposes or location activities, are key for identifying outlier behaviors critical…
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
Yueyang Liu, Lance Kennedy, Hossein Amiri +1
Human trajectory anomaly detection has become increasingly important across a wide range of applications, including security surveillance and public health. However, existing traje…
GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
Hossein Amiri, Richard Yang, Andreas Zufle
Analyzing individual human trajectory data helps our understanding of human mobility and finds many commercial and academic applications. There are two main approaches to accessing…
Large Language Models for Spatial Trajectory Patterns Mining
Zheng Zhang, Hossein Amiri, Zhenke Liu +2
Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderl…