BORJA CALVO

I recieved my master's degree in Biochemistry from the Univesity of the Basque Country in 1999 and, after two years working, I took a bachelor's degree in Computer Science at the same university. In 2004 I earned the bachelor's degree and in 2008 the PhD in Computer Science.

After two years as a Post-Doc researcher at the Intelligent Systems Group, in 2011 I won my current lecturer position at the Department of Computer Science and Artificial Intelligence of the University of the Basque Country.

Currently I am leading a reseach project funded by the DGT (spanish traffic agency) aimed at the prediction of car accidents in the basque road network. I am also supervising four PhD students and several bachelor and master thesis.


 +34 943 01 5013
 +34 943 01 5090
 borja.calvo@ehu.eus
KZAA Saila, Informatika Fakultatea
Manuel de Lardizabal, 1
20018, Donostia - San Sebastián
Gipuzkoa (Spain)

Research Interests

My research interests cover the following topics:

  • Non-standard classification problems
  • Statistical analysis of classifiers
  • Analysis of biological data
  • Rare event prediction
  • Data visualization

Publications

You can see the complete list of publications either in my Google Scholar profile, ORCiD or in our group's CiteULike list

Software

All my contributions to scientific software are available through my Github page

Courses

Currently I am involved in the following courese, all taught at the Computer Science Faculty in Donostia - San Sebastián:

  • Computer Graphics (in basque)
  • Search Heuristics (in basque)
  • Bayesian Networks (in spanish)
  • Bioinformatics (in basque)

Management

I am part of the academic comitee of both our Department and the Master in Computational Intelligence and Intelligent Systems. Github page. I am also the coordinator of the Computation specialization in the Computing Engineering Degree

Master's Theses

I have supervised four master's thesis:

  • Desarrollo de un sistema de simulación de datos de metilación
  • Comparaci√≥n de haplotipos mitocondriales en presencia de incertidumbre: Aplicación a la búsqueda de linajes maternos vascos
  • Predicción de anomalís para estampación en frío mediante técnicas de data mining
  • Metodología para la detección de defectos en patógrafos mediante técnicas de aprendizaje automático