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03/09/2022
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
The causal mechanism between climate and political violence is fraught w...
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10/25/2021
Random Matrix based Physical Layer Secret Key Generation in Static Channels
Physical layer secret key generation exploits the reciprocal channel ran...
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08/18/2021
Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
Increased drone proliferation in civilian and professional settings has ...
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06/10/2020
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Achieving transparency in black-box deep learning algorithms is still an...
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06/05/2020
Graph Layer Security: Encrypting Information via Common Networked Physics
The proliferation of low cost Internet of Things (IoT) devices demands n...
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04/20/2020
Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform
Networked nonlinear dynamics underpin the complex functionality of many ...
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02/11/2020
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Infrastructure monitoring is critical for safe operations and sustainabi...
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04/06/2019
Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform
Water Distribution Networks (WDNs) are critical infrastructures that ens...
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01/31/2019
High-dimensional Metric Combining for Non-coherent Molecular Signal Detection
In emerging Internet-of-Nano-Thing (IoNT), information will be embedded ...
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01/31/2019
