Dr. Cristobal Romero Morales

Campus Universitario de Rabanales, "Albert Einstein" building, 3rd floor. 14071-Córdoba (Spain)

Tel. +34-957212257 Fax +34-957218316

E-mail: cromero at uco.es


"El lema de mi padre".

Cristobal Romero is Full Professor of Computer Sciences and Numerical Analysis department in University of Cordoba. His research labor is developed as a member of the Knowledge Discovery and Intelligent Systems (KDIS) research group, the Andalusian Research Institute in Data Science and Computational Intelligence(DaSCI) and it is focused on Educational Data Science (EDS), Educational Data Mining (EDM) and Learning Analytics (LA). He is senior IEEE society member and he was a foundator IEDM society member International Educational Data Mining Society.

Awards and Nominations

He was pre-selected as Highly Cited Computer Science Researcher by Thomson Reuters in 2013 (Docampo & Torres-Salinas, 2013) .

One of the 33 authors from University of Cordoba included in the 100,000 top-scientists list developed by University of Stanford.

He is the 2020 WINNER of The Prof. Ram Kumar Educational Data Mining Test of Time Award


Main Publications

He has published a great number of papers about Educational Data Mining (EDM) in international journals and conferences, and several important surveys:

Educational data mining and learning analytics: An updated survey. C. Romero, S. Ventura. WIREs Data Mining and Knowledge Discovery. John Wiley & Sons. 10(3):e1355. 2020.
Data Mining in Education. C. Romero, S. Ventura. WIREs Data Mining and Knowledge Discovery. John Wiley & Sons. 3:12-27. 2013.
Educational Data Mining: A Review of the State-of-the-Art. C. Romero, S. Ventura. IEEE Transaction on Systems, Man, and Cybernetics, Part C: Applications and Reviews. Issue 6, 601 - 618, 2010.
Educational Data Mining: A Survey from 1995 to 2005. C. Romero, S. Ventura. Expert Systems with Applications, 33(1), 135-146, 2007.

He has co-edited two book about EDM:
Data Mining in e-learning. C. Romero y S. Ventura (eds.). Data Mining in e-learning. Advances in Management Information, Vol. 4. WIT Press.
Handbook of Educational Data Mining. C.Romero, S. Ventura, M. Pechenizky, R. Baker. Editorial Chapman and Hall/CRC Press, Taylor & Francis Group. Data Mining and Knowledge Discovery Series.

Keynote Invited Speaker

He has also several invited talk as Keynote Speaker about EDM (Educational Data Mining) and EDS (Educational Data Science):

2022 International Conference on Computer Supported Education: Educational Data Mining and Learning Analytics csedu22

Laboralia 2021 (La Coruña) Learning Analytics Orientar con Calidad a través del datolaboralia21

EDM 2021 - Test of Time Award: Data Mining to Classify Students, Paris (France) July, 2021edm21

First Plenary Talk HELMETO 2021 Pisa (Italy)"lasi2016

Learning Analytis Summer Institute (LASI2016), Bilbao(Spain) "Educational Data Science"lasi2016

Learning Analytis Summer Institute(LASI2013), Granada(Spain): "Minería de Datos en Educación y Análisis del Aprendizaje" lasi13



International Conferences Organization

He has organized several International Conferences: