Tiphaine Phe-Neau Senior Data Scientist, Engineer, PhD in Computer Science. Let's have fun!


I have developped several softwares during my PhD thesis. They consist in contributions to open scientific libraries, tools for mobility and connectivity traces processing to original generators for opportunistic networks like Vicinity Motion, TiGeR and our Vicinity Motion-based heuristic for distance prediction. I also created personal scripts for Game Nights (Game of Thrones, Awesomenauts). I mainly work with Python (>2.7), NetworkX (>1.7) and GNU Bash (>3.2) but I am always eager to learn about new paradigms and languages. Some are available now, some will be later. Do not hesitate to send me an email concerning any of them.

The Vicinity Package

The package contains:

Vicinity Motion framework presented at the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (ACM MSWiM 2013).
– TiGeR: synthetic TImeline GEneratoR.
– Vicinity-Motion based heuristic.

For more details concerning this package: http://vicinity.lip6.fr.

TiphUtils : Trace Processing Tools

– Crawdad2One2Gexf: convert datasets from the Crawdad archive to the ONE connectivity format to instantaneous gexf graph files suitable for Gephi.