Enrique Larios Vargas

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Enrique Larios Vargas

University of Victoria - The CHISEL Group
Victoria BC, Canada
moc.liamg@sagrav.soirale

Postdoctoral fellow working on Software Security, Behavioral Science of Software Engineering, Empirical Software Engineering, and Big Data.

Degrees

Ph.D. in Computer Science, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2015
Design and development of a comprehensive data management platform for cytomics: cytomicsDB

MSc. in Systems Engineering and Computing, Software engineering, ICT management, Universidad Nacional Mayor de San Marcos, Perú, 2008

BA. in Informatic Engineering, Pontificia Universidad Católica del Perú, 2000

Professional Employment

Postdoctoral researcher, Software Improvement Group (SIG), Amsterdam, The Netherlands, 2017-present

Researcher in the CodeFeedr Project. Collaboration between The Software Engineering Research Group at Tu Delft and SIG. The aim is to make software analytics a core feedback loop for software engineering projects.

Research Associate, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2016-2017

Researcher in the Grip op Software (GROS) project. Joint cooperation between Leiden University and ICTU. Topic: Enhancing software quality applying Data Science techniques.

Lecturer, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2014-2017

Teaching Assistant, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2012-2013

Technology Applications and Expertise

Specialized Skills
Data Management, Networking, Agile Development, Ontologies, Bio Informatics
Programming
Java, C++, Scala, R, MySQL, PostgreSQL, SPARQL, MonetDB
Big Data
Apache Kafka, Apache Flink, Neo4j
OS/Environments
Mac, Linux, Ubuntu, Windows

Publications

E. Larios Vargas, M. Aniche, C. Treude, M. Bruntink and G. Gousios, Selecting third-party libraries: The practitioners' perspective. ESEC/FSE 2020 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2020.

E. Larios Vargas, J. Hejderup, M. Kechagia, M. Bruntink and G. Gousios, Enabling Real- Time Feedback in Software Engineering. ICSE-NIER'18 40th International Conference on Software Engineering: New Ideas and Emerging Results. 2018.

E. Larios, Z. Xia and F.J. Verbeek, A semantic-based metadata validation for an automated High-Throughput Screening workflow: Case study in CytomicsDB. In: Ortuño F. et al (Ed.) Proceedings IWBBIO, Springer International PUblisher Switzerland. 557--572, 2016.

B. Karasneh, D. Stikkolorum, E. Larios and M. R. V. Chaudron, Quality assessment of uml class diagrams: A study comparing experts and students, in MoDELS, 2015.

E. Larios, Y. Zhang, L. Cao and F.J. Verbeek, CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments. In: Comin M. et al (Ed.) Proceedings PRIB 2014 no. LNBI 8626: Springer International PUblisher Switzerland. 72- 84, 2014.

E. Larios, Y. Zhang, K. Yan, Z. Di, S. LeDevedec, F. Groffen and F.J. Verbeek: Automation in Cytomics: A Modern RDBMS Based Platform for Image Analysis and Management in High-Throughput Screening Experiments. In: Proceedings of 1st Int. Conf. on Health Information Science, Lecture notes in Computer Science 7231: 76-87, Springer, 2012.

K. Yan, E. Larios, S. LeDevedec, B. van de Water and F.J. Verbeek: Automation in Cytomics: Systematic Solution for Image Analysis and Management in High Throughput Sequences. In: Proceedings IEEE Conference Engineering and Technology, CET 2011, 7: 195-198, 2011.