I am an Assistant Professor at the Software Engineering and Real-Time group of the University of Cantabria. I am also a committer of the Epsilon Eclipse project.
Previously I was a Research Associate at the Department of Computer Science of the University of York, where I collaborated in the research and development of Model Visualisation tools and Responsible Data Science frameworks.
I finished my PhD at the ISTR group of the University of Cantabria on July 2019, under the supervision of Dr. Pablo Sánchez. The main objective was to apply model-driven technologies to reduce the complexity of performing data mining processes. I also worked in the opposite direction: bringing the powerfulness of data mining techniques to the model-driven engineering area.
Alfonso de la Vega, Dimitris Kolovos: An efficient line-based approach for resolving merge conflicts in XMI-based models. Software and Systems Modeling (2022)
Justin C. Cooper, Alfonso de la Vega, Richard F. Paige, Dimitris S. Kolovos, Michael Bennett, Caroline Brown, Beatriz Sanchez Piña, Horacio Hoyos Rodriguez: Model-Based Development of Engine Control Systems: Experiences and Lessons Learnt. ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS ’21)
🏆 Best Paper Award, MODELS '21 Practice & Innovation Track
Dimitris Kolovos, Alfonso de la Vega, Justin Cooper: Efficient Generation of Graphical Model Views via Lazy Model-to-Text Transformation. ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20)
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez:
Lavoisier: A DSL for increasing the level of abstraction of data selection and formatting in data mining. Journal of Computer Languages, Volume 60 (2020)
🏆 2020 Best Paper Award, Journal of Computer Languages
Alfonso de la Vega, Diego García-Saiz, Carlos Blanco, Marta E. Zorrilla, Pablo Sánchez: Mortadelo: Automatic generation of NoSQL stores from platform-independent data models. Future Generation Computer Systems 105: 455-474 (2020)
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: Lavoisier: High-Level Selection and Preparation of Data for Analysis. Model and Data Engineering (MEDI 2019)
Alfonso de la Vega, Pablo Sánchez: Model-Driven Technologies for Data Mining Democratisation. Software Technologies: Applications and Foundations, Junior Researchers Community Event (STAF 2019): 9-14
PhD Thesis (2019): Domain-Specific Languages for Data Mining Democratisation. Supervised by Pablo Sánchez.
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: How Far are we from Data Mining Democratisation? A Systematic Review. CoRR abs/1903.08431
Alfonso de la Vega, Pablo Sánchez, Dimitris Kolovos: Pinset: A DSL for Extracting Datasets from Models for Data Mining-Based Quality Analysis. Quality of Information and Communications Technology (QUATIC 2018): 83-91
Alfonso de la Vega, Diego García-Saiz, Carlos Blanco, Marta E. Zorrilla, Pablo Sánchez: Mortadelo: A Model-Driven Framework for NoSQL Database Design. Model and Data Engineering (MEDI 2018): 41-57
Diego García-Saiz, Marta E. Zorrilla, Alfonso de la Vega, Pablo Sánchez: A Run-Time Detector of Hardworking E-Learners with Underperformance. MIS4TEL 2018: 20-28
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: FLANDM: a development framework of domain-specific languages for data mining democratisation. Computer Languages, Systems & Structures 54: 316-336 (2018)
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: On the Automated Transformation of Domain Models into Tabular Datasets. International Conference on Conceptual Modeling (ER Forum/Demos 2017): 100-113
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: A Model-Driven Ecosystem for the Definition of Data Mining Domain-Specific Languages. Model and Data Engineering (MEDI 2017): 27-41
Oscar Garcia-Morchon, Sahil Sharma, Alfonso de la Vega Ruiz, David Perera Barreda. A Method for Configuring a Node Device, a Network and a Node Device. Patent codes and acceptance year: WIPO (WO2015/135816) (2015), Europe (EP3117664 B1) (2017), United States (10,251,073) (2019).
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: Desarrollo Eficiente de Lenguajes Específicos de Dominio para la Ejecución de Procesos de Minería de Datos. XXI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2016).
Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez: Towards a DSL for Educational Data Mining. Languages, Applications and Technologies (SLATE 2015).
Email: alfonso.delavega maybeAnAt unican.es
Phone: +34 942 20 14 63