Ahmed Abdelzaher

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—Wireless Sensor Networks (WSNs) form a critical component in modern computing applications; given their size, ability to process and communicate information, and to sense stimuli, they are a promising part of The Internet of Things. However, they are also plagued by reliability and node failure problems. Here we address these problems by using E. coli Gene(More)
Social network analytic approaches have been previously proposed to identifying key metrics of physician care coordination [1]. Optimizing care coordination among physicians is a primary national concern for which yields significant cuts in medical care costs. We present a variation of physician collaboration metrics namely: 'care density', with our(More)
Feed-forward loops are hierarchical three-node transcriptional subnetworks, wherein a top-level protein regulates the activity of a target gene via two paths: a direct-regulatory path, and an indirect route, whereby the top-level proteins act implicitly through an intermediate transcription factor. Using a transcriptional network of the model bacterium(More)
—Biological networks (specifically, genetic regulatory networks) exhibit an optimized sparse topology and are known to be robust to various external perturbations. We have earlier utilized such networks, particularly, the gene regulatory network of E. coli, for constructing smart communication structures in bio-inspired Wireless Sensor Networks (WSNs)(More)
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