Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010.  He obtained the Ph. D. in Informatics in 2015 from the Universidad Complutense de Madrid. His Ph. D. thesis is titled “Application of Metaheuristic Algorithms in Signal Processing, Images, and Alternative Energy”. Currently, he is an Associate Professor at the University of Guadalajara in Mexico and has been visiting a professor at the Tomsk Polytechnic University in Russia. Diego Oliva is coauthor of 16 papers in international journals and 4 books. His research interest includes Evolutionary and Swarm algorithms, Hybridization of evolutionary and swarm algorithms, and Computational intelligence.

1. Circle detection using electro-magnetism optimization, E Cuevas, D Oliva, D Zaldivar, M Pérez-Cisneros, H Sossa, Information Sciences 182 (1), 40-55
2. Parameter identification of solar cells using artificial bee colony optimization, D Oliva, E Cuevas, G Pajares, Energy 72, 93-102
3. A Multilevel Thresholding algorithm using electromagnetism optimization, D Oliva, E Cuevas, G Pajares, D Zaldivar, V Osuna, Neurocomputing 139, 357-381
4. Multilevel thresholding segmentation based on harmony search optimization, D Oliva, E Cuevas, G Pajares, D Zaldivar, M Perez-Cisneros, Journal of Applied Mathematics 2013
5. White blood cell segmentation by circle detection using electromagnetism-like optimization, E Cuevas, D Oliva, M Díaz, D Zaldivar, M Pérez-Cisneros, G Pajares, Computational and mathematical methods in medicine 2013

1. Editor of the book Advances in Soft Computing and Machine Learning in Image Processing. Will be published on 2017 by Springer.
2. Chair of EUROGEN 2017, Minisimposia:  Metaheuristics and Evolutionary Algorithm in Energy. Madrid , Spain, September 13-15, 2017.