Ahmed Abdelzaher

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Due to next-generation sequence technologies, sequencing of bacterial genomes is no longer one of the main bottlenecks in bacterial research and the number of new genomes deposited in public databases continues to increase at an accelerating rate. Among these new genomes, several belong to the same species and were generated for pan-genomic studies. A(More)
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)
Motifs are patterns of recurring connections among the genes of genetic networks that occur more frequently than would be expected from randomized networks with the same degree sequence. Although the abundance of certain three-node motifs, such as the feed-forward loop, is positively correlated with a networks' ability to tolerate moderate disruptions to(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) having(More)
Motifs and degree distribution in transcriptional regulatory networks play an important role towards their fault-tolerance and efficient information transport. In this paper, we designed an innovative in silico canonical feed-forward loop motif knockout experiment in the transcriptional regulatory network of E. coli to assess their impact on the following(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)