Page d'accueil // LCSB // People // Carlos Vega Moreno

Carlos Vega Moreno

Carlos Vega Moreno

Postdoc. researcher/Research associate

Faculté ou Centre Luxembourg Centre for Systems Biomedicine
Department Bioinformatics Core
Adresse postale Université du Luxembourg
6, avenue du Swing
L-4367 Belvaux

Bureau sur le campus BTL, E04 080
E-mail
Téléphone (+352) 46 66 44 5519

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: mercredi 19 septembre 2018

powered by
orbilu.uni.lu

2022

Full Text
See detailSMASCH: Facilitating multi-appointment scheduling in longitudinal clinical research studies and care programs
Vega Moreno, Carlos Gonzalo; Gawron, Piotr; Lebioda, Jacek; Groues, Valentin; Krüger, Rejko; Schneider, Reinhard; Satagopam, Venkata

Poster (2022, September 20)

Full Text
See detailSmart Scheduling (SMASCH): multi-appointment scheduling system for longitudinal clinical research studies.
Vega Moreno, Carlos Gonzalo; Gawron, Piotr; Lebioda, Jacek; Groues, Valentin; Matyjaszczyk, Piotr; Pauly, Claire; Smula, Ewa; Krüger, Rejko; Schneider, Reinhard; Satagopam, Venkata

in JAMIA open (2022), 5(2), 038

Full Text
See detailTranslational Challenges of Biomedical Machine Learning Solutions in Clinical and Laboratory Settings
Vega Moreno, Carlos Gonzalo; Kratochvil, Miroslav; Satagopam, Venkata; Schneider, Reinhard

in Bioinformatics and Biomedical Engineering (2022)

Top of Page

2021

See detailThe need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions
Garcia Santa Cruz, Beatriz; Vega Moreno, Carlos Gonzalo; Hertel, Frank

Scientific Conference (2021, November 16)

Top of Page

2020

Full Text
See detailBioKC: a platform for quality controlled curation and annotation of systems biology models
Vega Moreno, Carlos Gonzalo; Groues, Valentin; Ostaszewski, Marek; Satagopam, Venkata; Schneider, Reinhard

Scientific Conference (2020, September 04)

Full Text
See detailBioKC: a collaborative platform for systems biology model curation and annotation
Vega Moreno, Carlos Gonzalo; Groues, Valentin; Ostaszewski, Marek; Schneider, Reinhard; Satagopam, Venkata

in bioRxiv (2020)

Full Text
See detailSupporting findability of COVID-19 research with large-scale text mining of scientific publications
Welter, Danielle; Vega Moreno, Carlos Gonzalo; Biryukov, Maria; Groues, Valentin; Ghosh, Soumyabrata; Schneider, Reinhard; Satagopam, Venkata

Poster (2020, November 27)

Top of Page

2018

See detailKISS Methodologies for Network Management and Anomaly Detection
Vega Moreno, Carlos Gonzalo; Aracil, Javier; Magaña, Eduardo

in Vega Moreno, Carlos Gonzalo; Aracil, Javier; Magaña, Eduardo (Eds.) KISS Methodologies for Network Management and Anomaly Detection (2018)

See detailOn the design and performance evaluation of automatic traffic report generation systems with huge data volumes
Vega Moreno, Carlos Gonzalo; Miravalls Sierra, Eduardo; Julián Moreno, Guillermo; López de Vergara, Jorge E.; Magaña, Eduardo; Aracil, Javier

in International Journal of Network Management (2018), 28(6), 2044

Full Text
See detailDiluting the Scalability Boundaries: Exploring the Use of Disaggregated Architectures for High-Level Network Data Analysis
Vega Moreno, Carlos Gonzalo; Zazo, José Fernando; Meyer, Hugo; Zyulkyarov, Ferad; Lopez-Buedo, Sergio; Aracil, Javier

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)

Top of Page

2017

Full Text
See detailMulti-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams
Vega Moreno, Carlos Gonzalo; Roquero, Paula; Aracil, Javier

in Computer Networks (2017), 113

Full Text
See detailLoginson: a transform and load system for very large-scale log analysis in large IT infrastructures
Vega Moreno, Carlos Gonzalo; Roquero, Paula; Leira, Rafael; Gonzalez, Iván; Aracil, Javier

in Journal of Supercomputing (2017), 73(9), 3879-3900

Top of Page