He received the Graduate and Ph.D. degrees (with highest distinction) in telecommunications engineering from the University of Vigo, Vigo, Spain, in 1994 and 1999, respectively.
He has been a usual Visiting Researcher with the Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan, since 1999. He is currently an

Associate Professor with the Department of Signal Processing and Communications, University of Seville, Seville, Spain. He has published over 50 papers in various journals and conference proceedings. His current research interests include statistical signal processing, machine learning and information theoretic aspects in learning methods with emphasis on independent component analysis, signal separation or extraction and their application to communication, and neurosciences.
Dr. Cruces has served as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, and for the Journal of Computational Intelligence and Neuroscience. He has also served as Program Committee Member for several international conferences. 

• Andrzej Cichocki, Sergio Cruces and Shun-ichi Amari, “Generalized Alpha-Beta Divergence and its Application to Robust Nonnegative Matrix Factorization”, Entropy, vol. 13(1), pp. 134-170,  Jan. 2011. (ISSN: 1099-4300)

• Sergio Cruces, Andrzej Cichocki, “Comment on Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition", Neurocomputing, vol 74(5), pp. 863-865, Feb. 2011. (ISSN: 0925-2312)

• Sergio Cruces, "Bounded component analysis of linear mixtures: A criterion of minimum convex perimeter", IEEE Trans. on Signal Processing, vol 58(4), pp. 2141- 2154, April 2010. (ISSN: 1053-587X)
• Auxiliadora Sarmiento, Iván Durán-Díaz, Sergio Cruces, "Initialization method for speech separation algorithms that work in the time-frequency domain", J. Acoust. Soc. Am., vol. (.), pp. 1-6, Scheduled publication March 2010. (ISSN 0001-4966)
• J. M. Górriz, J. Ramírez, S. Cruces-Alvarez, C. G. Puntonet, E. W. Lang, D. Erdogmus  "A Novel LMS algorithm applied to Adaptive Noise Cancelation", IEEE Signal Processing Letters, vol. 127(4), pages 7, April 2010. (ISSN 0001-4966)

Dr. Cruces has served as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, and for the Journal of Computational Intelligence and Neuroscience. He has also served as Program Committee Member for several international conferences.