Department of Computer Science
Daniel Saucedo Aranda, s/n
I was born in Ponferrada (El Bierzo, Spain) on June 24, 1981. I lived there until I was 18, when I moved to Salamanca to study Computer Science. I received my Bachelor degree in 2002. Some years later, I obtained my M.S. degree (2006) from the University of La Coruña and my Ph.D. (2010) from the University of Santiago de Compostela. I completed my studies with two post-graduate courses, Computer Vision and Robotics Expert (University of Alicante, 2006) and Health Computer Science and Telemedicine Expert (E-learning National University, 2008).
I am currently Post-doctoral researcher at the Department of Computer Science and Artificial Intelligence of the University of Granada (UGR) and affiliated researcher at the European Centre for Soft Computing (ECSC). I spent almost six years at the latter institution (ECSC), first as a research assistant (2008-2011), then as a post-doctoral researcher (2011-2012), and finally as a Deputy Principal Researcher (2012-2013). Before that period, I worked in the University of La Coruña for almost two years (2006-2008). Finally, I have acted as post-doctoral visiting scholar in the following research centres and universities: CNRS- Cogimage team at the Brain and Spine Institute (France), University of California- The Berkeley Initiative in Soft Computing (USA), University of Granada- Physical Anthropology Lab (Spain), and Centre for Anatomy & Human Identification- University of Dundee (UK).
I have participated in four European and eight national research projects. I am co-author of two patents, one dealing with Computer vision applied to wave flume measurements and the other one is an international patent on a soft computing-based automatic forensic identification method. The latter is currently under exploitation in the form of a commercial software, Face2Skull. In 2014 I received the post-doctoral grant “Juan de la Cierva”, being considered within the top-3 of 120 young postdoctoral candidates in Computer Science by the Spanish Department of Science and Innovation. In 2011 I received the Best Ph.D. Thesis Award by the European Society for Fuzzy Logic and Technologies (EUSFLAT) and also the Award for Outstanding Applications of Fuzzy Technology by the International Fuzzy Systems Association (IFSA). I have published 17 JCR-SCI-indexed journal papers (and another 6 submitted), 12 of them in first quartile journals. I am coauthor of one book (Handbook on Craniofacial Superimposition) and another 30 articles published in non-indexed journals, conference proceedings and edited books. According to Google Scholar, I have an H-index of 8, an I10-index of 6, and my publications received 165 cites in just 7 years.
The majority of my research career has been focused on theoretical and applied developments on Soft Computing (SC), Computer Vision (CV), and Machine Learning. The main application field has been Forensic Anthropology (FA), although I have also made proposals in Ocean Engineering and Medical Imaging. My first contributions, as a result of my MSc. thesis, were already in the CV and SC fields, applying Evolutionary Computation (EC) techniques to Image Segmentation (IS) problems. Later, my work in the EU-project PROLIT focused on the development of a real time CV and Genetic Fuzzy Systems for different Ocean Engineering problems. As a result of different collaborations, I have also applied EC to the fields of Neuroscience and Machine Learning. In particular, I have coauthored two papers in two of the most prestigious journal where my main contribution has been the development of a new learning method for a novel model called Artificial Neuron-Glia Networks. My most important contributions on the field of FA are all related with Craniofacial Superimposition (CFS) and the application of SC (EC and Fuzzy Sets) and CV (Image Registration) techniques. They are the result of my PhD dissertation leading to one Patent, five SCI-JCR publications in the best SC journals, and seven articles in conferences. Finally, the international recognition in the FA (CFS) community has taken place within the project MEPROCS where I designed and supervised three different multi-centre experimental studies leading to the first standard in the craniofacial identification field. I also conceived and coordinated the development of the first ground truth data set.
Last updated: February 4, 2015
|Full Curriculum Vitae|
|List of Publications|
|Google scholar profile|
|Ph.D. Graduates and Students|
|Soft Computing and Intelligent Information Systems Research Group|
|European Centre for Soft Computing|
|IEEE CIM Special Issue on Computational Forensics|