24 citations · 49 across the 20 of their papers we have counts for
20 papers
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
Oishee Bintey Hoque, Nibir Chandra Mandal, Mandy L Wilson +3
Concentrated Animal Feeding Operations (CAFOs) play an important role in agricultural production but are also associated with environmental, public health, and disease surveillance…
Estimating the cascading global impacts of gas disruptions in Qatar
Ritwick Mishra, Diksha Gupta, Achla Marathe +7
This study examines the global impacts of a localized disruption in Qatar's gas sector using a multi-regional input-output framework and scenario-based analysis. While the direct i…
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Oishee Bintey Hoque, Nibir Chandra Mandal, Kyle Luong +4
Large-scale livestock operations pose significant risks to human health and the environment, while also being vulnerable to threats such as infectious diseases and extreme weather…
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga +6
Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for in…
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga +4
Accurate mapping of irrigation methods is crucial for sustainable agricultural practices and food systems. However, existing models that rely solely on spectral features from satel…
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga +7
We introduce IrrMap, the first large-scale dataset (1.1 million patches) for irrigation method mapping across regions. IrrMap consists of multi-resolution satellite imagery from La…
A Unifying Information-theoretic Perspective on Evaluating Generative Models
Alexis Fox, Samarth Swarup, Abhijin Adiga
Considering the difficulty of interpreting generative model output, there is significant current research focused on determining meaningful evaluation metrics. Several recent appro…
A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread
Abhijin Adiga, Ayush Chopra, Mandy L. Wilson +8
One Health issues, such as the spread of highly pathogenic avian influenza~(HPAI), present significant challenges at the human-animal-environmental interface. Recent H5N1 outbreaks…
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga +2
Irrigation mapping plays a crucial role in effective water management, essential for preserving both water quality and quantity, and is key to mitigating the global issue of water…
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi +12
Optimal allocation of agricultural water in the event of droughts is an important global problem. In addressing this problem, many aspects, including the welfare of farmers, the ec…
A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe +3
Evacuation planning is an essential part of disaster management where the goal is to relocate people under imminent danger to safety. However, finding jointly optimal evacuation ro…
High-resolution synthetic residential energy use profiles for the United States
Swapna Thorve, Young Yun Baek, Samarth Swarup +4
Efficient energy consumption is crucial for achieving sustainable energy goals in the era of climate change and grid modernization. Thus, it is vital to understand how energy is co…
Ensembles of Realistic Power Distribution Networks
Rounak Meyur, Anil Vullikanti, Samarth Swarup +5
The power grid is going through significant changes with the introduction of renewable energy sources and incorporation of smart grid technologies. These rapid advancements necessi…
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe +3
Evacuation planning is a crucial part of disaster management. However, joint optimization of its two essential components, routing and scheduling, with objectives such as minimizin…
BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations
Henning S Mortveit, Stephen Adams, Faraz Dadgostari +2
In this paper, we present BESSIE (Behavior and Epidemic Simulator for Synthetic Information Environments), an open source, agent-based simulator for COVID-type epidemics. BESSIE us…
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Rounak Meyur, Swapna Thorve, Madhav Marathe +3
Residential consumers have become active participants in the power distribution network after being equipped with residential EV charging provisions. This creates a challenge for t…
Stratified Graph Spectra
Fanchao Meng, Mark Orr, Samarth Swarup
In classic graph signal processing, given a real-valued graph signal, its graph Fourier transform is typically defined as the series of inner products between the signal and each e…
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks
Kiran Karra, Samarth Swarup, Justus Graham
We use multiple measures of graph complexity to evaluate the realism of synthetically-generated networks of human activity, in comparison with several stylized network models as we…
An agent-based epidemiological model of incarceration
Kristian Lum, Samarth Swarup, Stephen Eubank +1
We build an agent-based model of incarceration based on the SIS model of infectious disease propagation. Our central hypothesis is that the observed racial disparities in incarcera…
Unifying Evolutionary and Network Dynamics
Samarth Swarup, Les Gasser
Many important real-world networks manifest "small-world" properties such as scale-free degree distributions, small diameters, and clustering. The most common model of growth for t…