Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational intelligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two illustrative Traffic Engineering methods are described, allowing to attain routing configurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

The role of marine anaerobic bacteria and archaea in bioenergy production

The development of products from marine bioresources is gaining importance in the biotechnology sector. The global market for Marine Biotechnology products and processes was, in 2010, estimated at 2.8 billion with a cumulative annual growth rate of 510% (Børresen et al., Marine biotechnology: a new vision and strategy for Europe. Marine Board Position Paper 15. Beernem: Marine Board-ESF, 2010). Marine Biotechnology has the potential to make significant contributions towards the sustainable supply of food and energy, the solution of climate change and environmental degradation issues, and the human health. Besides the creation of jobs and wealth, it will contribute to the development of a greener economy. Thus, huge expectations anticipate the global development of marine biotechnology. The marine environment represents more than 70% of the Earths surface and includes the largest ranges of temperature, light and pressure encountered by life. These diverse marine environments still remain largely unexplored, in comparison with terrestrial habitats. Notwithstanding, efforts are being done by the scientific community to widespread the knowledge on oceans microbial life. For example, the J. Craig Venter Institute, in collaboration with the University of California, San Diego (UCSD), and Scripps Institution of Oceanography have built a state-of-the-art computational resource along with software tools to catalogue and interpret microbial life in the worlds oceans. The potential application of the marine biotechnology in the bioenergy sector is wide and, certainly, will evolve far beyond the current interest in marine algae. This chapter revises the current knowledge on marine anaerobic bacteria and archaea with a role in bio-hydrogen production, syngas fermentation and bio-electrochemical processes, three examples of bioenergy production routes.

From perfect strangers to research partners: a study of relationships, resource sharing and perceived benefits within R&D cooperation networks

Doctoral thesis in Marketing and Strategy.

New integrative computational approaches unveil the Saccharomyces cerevisiae pheno-metabolomic fermentative profile and allow strain selection for winemaking

During must fermentation by Saccharomyces cerevisiae strains thousands of volatile aroma compounds are formed. The objective of the present work was to adapt computational approaches to analyze pheno-metabolomic diversity of a S. cerevisiae strain collection with different origins. Phenotypic and genetic characterization together with individual must fermentations were performed, and metabolites relevant to aromatic profiles were determined. Experimental results were projected onto a common coordinates system, revealing 17 statistical-relevant multi-dimensional modules, combining sets of most-correlated features of noteworthy biological importance. The present method allowed, as a breakthrough, to combine genetic, phenotypic and metabolomic data, which has not been possible so far due to difficulties in comparing different types of data. Therefore, the proposed computational approach revealed as successful to shed light into the holistic characterization of S. cerevisiae pheno-metabolome in must fermentative conditions. This will allow the identification of combined relevant features with application in selection of good winemaking strains.