Abhik banerjee biography of williams

Drew Honson PhD &#;24
Postdoc, McFall-Ngai Lab, Caltech

Paulomi Bhattacharya &#;24

Jimmy K. Guo PhD &#;24
MD/PhD student, USC

Mackenzie Strehle PhD &#;24
Equity Research Associate, Life Science Tools, Evercore Partners

Isabel Goronz PhD &#;24
MD/PhD Student, UCLA

Prashant Bhat PhD &#;23
MD/PhD Student, UCLA
Research page

Abhik Banerjee PhD &#;20
Child Neurology Resident, Children’s Hospital of LA

Sofia Quinodoz PhD &#;20
HHMI Hanna Gray Fellow, Princeton University (Brangwynne lab)

Chun-Kan Chen
Assistant Professor, Washington University School of Medicine in St. Louis

Jesse Engreitz
Assistant Professor, Stanford University (Department of Genetics)

1 Achieving Small World Properties using Bio-Inspired Techniques in Wireless Networks arXivv2 [] 3 Mar Rachit Agarwal∗ , Abhik Banerjee∗† , Vincent Gauthier∗ , Monique Becker∗, Chai Kiat Yeo† and Bu Sung Lee† ∗ Lab. CNRS SAMOVAR UMR , Telecom Sud Paris, Evry, France Email: {l, er, }@ † CeMNet, School of Computer Engineering, Nanyang Technological University, Singapore Email: {abhi, asckyeo, ebslee}@ Abstract—It is highly desirable and challenging for a wireless ad hoc network to have self-organization properties in order to achieve network wide characteristics. Studies have shown that Small World properties, primarily low average path length and high clustering coefficient, are desired properties for networks in general. However, due to the spatial nature of the wireless networks, achieving small world properties remains highly challenging. Studies also show that, wireless ad hoc networks with small world properties show a degree distribution that lies between geometric and power law. In this paper, we show that in a wireless ad hoc network with non-uniform node density with only local informati