Miguel Ángel holds a degree in Computer Engineering from the University of Murcia (2008, average grade 8.24, a collaboration grant, and one year of Erasmus at NTNU), and a PhD in Computer Science from the University of Seville (2013, Cum Laude by Unanimity, and International Doctorate mention for a 3-month stay in 2011 at NTNU’s HPCLab). He is a member of the Research Group in Natural Computation of the University of Seville (PAI-TIC 193) since 2009, where he was a predoctoral fellow, and a postdoctoral fellow afterwards. In 2014 he was PI of the NVIDIA CUDA Research Center at the University of Seville, which only 3 Spanish universities held at the time. From December 2014 to August 2017, he moved to Fraunhofer IIS (Germany) first as ERCIM fellow and later as research associate. He is accredited as Profesor Contratado Doctor since 2014, and he is a Profesor Ayudante Doctor at the University of Seville since August 2017. He is currently a founding member of the SCORE-Lab Unit of Excellence (November 2020), an associate member of I3US (January 2021), a collaborating member of the DeepKnowledge group (April 2020), and a collaborating member of the ACLab and the Membrane Computing Research Group at the University of the Philippines Diliman (2011). He has been a member in organizing committees of international conferences such as HPCS2020, BICAS and BWMCs. He is the lead administrator for GPU computing severs in his group since 2008.
His main line of research is the application of GPU computing: parallel simulation of bio-inspired models (developing the first parallel simulators of P-systems with CUDA), application of Deep Learning for automatic video understanding (co-leading two ERCIM fellow researchers at Fraunhofer IIS), and acceleration of image compression codecs (JPEG2000 for digital cinema, participating in the easyDCP tool and its technical support with international customers, and standardization of the JPEGXS format for its parallelization, leading to the development of 9 patents). Currently, he is also collaborating in Deep Learning applications (sign language translation, video understanding, and biosignal processing), GPU-accelerated multi-agent simulation, robotics and virtual reality, among others. He has participated as a member of the research team in 7 national research projects, 3 regional projects, 2 international projects (China) and 3 contracts with public companies. He has published 32 articles in JCR indexed journals (6 Q1, 7 Q2, 6 Q3, 13 Q4), 8 in non-indexed journals, 55 communications in conferences, 9 patents, 4 book chapters, 6 edited conference proceedings, 1 special edited volume in an indexed journal, and 4 invited talks.
Since 2010, he has been teaching at the University of Seville, both at undergraduate and master’s level. He has supervised 10 master’s degree final projects, 4 bachelor’s degree final projects, 5 final projects and 2 practicum. In addition, he has participated as a support teacher in the Summer Science Campus at Andalucía Tech from 2011 to 2014 and 2018. In October 2018, he was appointed as a university ambassador for the NVIDIA Deep Learning Institute, organizing 6 workshops since then and participating as an assistant in 5 other workshops. His website https://www.cs.us.es/~mdelamor includes detailed information about his curriculum.