Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities. - Milan Jain; Narmadha Meenu Mohankumar; Heng Wan; Sumitrra Ganguly; Kyle D. Wilson; David M. Anderson (CoRR, 2023)

Landscape metrics regularly outperform other traditionally-used ancillary datasets in dasymetric mapping of population. - Heng Wan; Jim Yoon; Vivek Srikrishnan; Brent Daniel; David R. Judi (Comput. Environ. Urban Syst., 2023)

Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes. - Jim Yoon; Heng Wan; Brent Daniel; Vivek Srikrishnan; David R. Judi (Comput. Environ. Urban Syst., 2023)

Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset. - Heng Wan; Sumitrra Ganguli; Milan Jain; David M. Anderson; Narmadha Meenu Mohankumar; Kyle D. Wilson (Comput. Environ. Urban Syst., 2023)

Exploring Natural Language Processing Model Acceleration in Molecular Dynamics Simulation Using High-Performance Computing and Machine Learning. - Qi Du; Feng Wang; Hui Huang; Heng Wan; Xiaoyu Wu; Chengkun Wu (BIBM, 2024)

Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics. - James Koch; Pranab Roy Chowdhury; Heng Wan; Parin Bhaduri; Jim Yoon; Vivek Srikrishnan; W. Brent Daniel (CoRR, 2024)

Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities. - Narmadha Meenu Mohankumar; Milan Jain; Heng Wan; Sumitrra Ganguli; Kyle D. Wilson; David M. Anderson (J. Soc. Comput., 2024)