Carlos Vega Moreno
|
|
||||
| Faculty or Centre | Luxembourg Centre for Systems Biomedicine | ||||
| Department | Bioinformatics Core | ||||
| Postal Address |
Université du Luxembourg 2, Avenue de l'Université L-4365 Esch-sur-Alzette |
||||
|
|||||
| Telephone | (+352) 46 66 44 5519 | ||||
| Fax | (+352) 46 66 44 35519 | ||||
Postdoc in the Bioinformatics Core group (R. Schneider Lab)
Carlos G. Vega Moreno received his B.Sc., M.Sc. and Ph.D. (cum laude and industrial distinctions) degrees in Computer Science from Universidad Autónoma de Madrid, Spain, in 2014 and 2017. In 2012, he joined the HPCN Research Group at the same university as a researcher, collaborating in different European research projects such as the Network of Excellence InterNet Science, Fed4Fire or dReDBox. During his Ph.D. he also worked at the spin-off company Naudit researching and developing solutions for data analysis, log collection and network management.
Last updated on: Wednesday, 19 September 2018
2020
BioKC: a platform for quality controlled curation and annotation of systems biology models; ; ; ;
Scientific Conference (2020, September 04)
BioKC: a collaborative platform for systems biology model curation and annotation; ; ; ;
in bioRxiv (2020)
Supporting findability of COVID-19 research with large-scale text mining of scientific publications; ; ; ; ; ;
Poster (2020, November 27)
2018
On the design and performance evaluation of automatic traffic report generation systems with huge data volumes; ; ; ; ;
in International Journal of Network Management (2018), 28(6), 2044
Diluting the Scalability Boundaries: Exploring the Use of Disaggregated Architectures for High-Level Network Data Analysis; ; ; ; ;
in Vega Moreno, Carlos Gonzalo (Ed.) 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (2018, February 15)
2017
Multi-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams; ;
in Computer Networks (2017), 113
Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures; ; ; ;
in Journal of Supercomputing (2017), 73(9), 3879-3900
