7 citations · 9 across the 8 of their papers we have counts for
8 papers
Aligning load flexibility with emissions reduction: empirical insights from a multi-site study of cryptocurrency data centers
Veronica M. Paez, Neda Mohammadi, John E. Taylor
The power sector is responsible for 32 percent of global greenhouse gas emissions. Data centers and cryptocurrencies use significant amounts of electricity and contribute to these…
Knowledge-Guided Vision-Language Inference for Image-Based Urban Flood Depth Estimation
Zhangding Liu, Neda Mohammadi, John E. Taylor
Timely floodwater depth estimates support road accessibility assessment and emergency response during urban flooding. Supervised vision methods often require extensive labeled data…
MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment Using UAV Imagery
Zhangding Liu, Neda Mohammadi, John E. Taylor
Hurricanes cause widespread damage to buildings, roads, and other infrastructure, making timely post-disaster damage assessment critical for emergency response and recovery plannin…
Multi-Label Classification Framework for Hurricane Damage Assessment
Zhangding Liu, Neda Mohammadi, John E. Taylor
Hurricanes cause widespread destruction, resulting in diverse damage types and severities that require timely and accurate assessment for effective disaster response. While traditi…
Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
Xiyu Pan, Neda Mohammadi, John E. Taylor
Accurate short-term streamflow and flood forecasting are critical for mitigating river flood impacts, especially given the increasing climate variability. Machine learning-based st…
Detecting Whether a Stochastic Process is Finitely Expressed in a Basis
Neda Mohammadi, Victor M. Panaretos
Is it possible to detect if the sample paths of a stochastic process almost surely admit a finite expansion with respect to some/any basis? The determination is to be made on the b…
Nonparametric Estimation for SDE with Sparsely Sampled Paths: an FDA Perspective
Neda Mohammadi, Leonardo Santoro, Victor M. Panaretos
We consider the problem of nonparametric estimation of the drift and diffusion coefficients of a Stochastic Differential Equation (SDE), based on independent replicates $\left\…
Urban Energy Flux: Human Mobility as a Predictor for Spatial Changes
Neda Mohammadi, John E Taylor
As a key energy challenge, we urgently require a better understanding of how growing urban populations interact with municipal energy systems and the resulting impact on energy dem…