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10/14/2022
High-resolution synthetic residential energy use profiles for the United States
Efficient energy consumption is crucial for achieving sustainable energy...
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09/04/2022
A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems
Evacuation planning is a crucial part of disaster management where the g...
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02/14/2022
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Residential consumers have become active participants in the power distr...
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02/09/2022
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
In response to COVID-19, many countries have mandated social distancing ...
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12/31/2021
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation
Efficient contact tracing and isolation is an effective strategy to cont...
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12/15/2021
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report
Beginning in April 2020, we gathered partial county-level data on non-ph...
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12/23/2020
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway
The Mumbai Suburban Railways, locals, are a key transit infrastructure o...
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12/16/2020
Pandemic Informatics: Preparation, Robustness, and Resilience
Infectious diseases cause more than 13 million deaths a year, worldwide....
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11/13/2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Deep learning classifiers are assisting humans in making decisions and h...
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10/27/2020
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
The COVID-19 pandemic represents the most significant public health disa...
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09/23/2020
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
Subgraph counting aims to count occurrences of a template T in a given n...
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09/21/2020
Models for COVID-19 Pandemic: A Comparative Analysis
COVID-19 pandemic represents an unprecedented global health crisis in th...
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03/11/2019
A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
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02/27/2019
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
The convergence of HPC and data-intensive methodologies provide a promis...
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04/25/2018
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
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12/02/2017