2 citations · 3 across the 14 of their papers we have counts for
6 papers · 1 filter
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…