Welcome to my home page!
I was a PhD student at CSDL of ICS UH Manoa advised by Professor Philip M Johnson. The focus of my dissertation research was on empirical software process discovery. Working on this, I have proposed, designed, and developed the Software Trajectory Analysis framework -- a general approach for recurrent behaviors discovery and ranking from systematic measurement of software process artifacts. I defended my dissertation in January, 2015, and currently looking for a postdoctoral position; my short resume is available here.
While finishing the school, I am increasingly involved in the development of spatio-temporal data mining techniques. Recently, we have proposed a novel techniques for time series recurrent patterns discovery and for spatio-temporal anomaly discovery, which are based on symbolic discretization and grammatical inference. My next research project combines my work on recurrent behaviors discovery and spatio-temporal data ming aiming at the recurrent-behaviors based activity mining.
Currently, I am working as a bioinformatics software engineer bridging two research laboratories: MIAT and L'IPREM; there, I am responsible for the design and implementation of NGS data mining tools used in a research project concerned with the structure and function of microbial communities (FUNHYMAT). Previously, I have worked in a number of research projects. In 3SR project, I was responsible for the identification and annotation of SNPs in sheep genome; at ENSAT, I was involved in the identification of genes involved in the fruit ripening; at INRIA Rennes I have designed and implemented a high-throughput sequence classification pipeline for G protein-coupled receptors (GPRs) based on the finite state machines. I also worked for LANL, DOE-JGI on NGS sequencing data analysis and genome finishing, and for RCUH, Hawaii on the transgenic papaya genome assembly.
senin [at] hawaii.edu