Welcome to my home page!

I have graduated from CSDL of ICS UH Manoa where I was 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 behavior discovery and ranking from systematic measurements of software artifacts. I defended my dissertation in early 2015 and currently looking for a postdoctoral position. My short resume is available here.

Extending my dissertation research on recurrent behaviors discovery, I am increasingly involved in the development of spatio-temporal data mining techniques. Recently, we have proposed novel techniques for time series recurrent (i.e., motif) and anomalous i.e., discord) patterns discovery, which are based on the symbolic discretization and grammatical inference. My next research project combines my work on recurrent behaviors discovery and spatio-temporal data ming aiming at the activity classification.

Currently, I am working as a bioinformatics software engineer at MIAT INRA on genomics data mining. Previously, I have worked in a number of research projects. In FUNHYMAT I performed bioinformatics analysis of structure and function of microbial communities, in 3SR 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.

Thank you!

senin [at] hawaii.edu

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© Pavel Senin — 2005 - 2015. Except where otherwise noted, all original material on this page created by Pavel Senin is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported.