Biography

Daniel Molina received his M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Granada, Spain, in 2000 and 2007, respectively. He is currently an Assistant Professor at the University of Granada. Since his Ph.D., he has been extensively working on Memetic Algorithms, particularly in Large-Scale Global Optimization and Neuroevolution. Dr. Daniel Molina has published 40 papers in international journals, 30 of them in Q1 journals, with over 13,000 citations (source: scopus.com), positioning him among the top 2% most influential researchers in Stanford. Dr. D. Molina is currently co-leading a General Purpose Artificial Intelligence project, a €120K Knowledge Generation Project, funded by the Ministry of Science, Innovation and Universities of Spain. He is an Associate Editor in Swarm and Evolutionary Computation. In Large-Scale Global Optimization, he has obtained two international awards, and within this line, he has driven several initiatives, such as organizing numerous competitions and special journal issues on this topic, and serving as the Chair of the IEEE Task-Force on Large-Scale Global Optimization (2015-2019). Regarding Neuroevolution, he has published various articles in prestigious journals and supervised a thesis.