Biography

Daniel Leite is a researcher in the Department of Computer Science, Paderborn University, Germany (as of November 2023). For 11 years he was a professor and researcher at the UFLA and UFMG, Brazil; and UAI, Chile, in the areas of dynamic systems, fuzzy systems, neural networks, data mining, and control theory. He earned his PhD from the State University of Campinas, UNICAMP, Brazil, 2012, and was a postdoctoral fellow at the University of Ljubljana, Slovenia, 2018-2019, and Federal University of Minas Gerais, UFMG, Brazil, 2013-2014. He received the North American Fuzzy Information Processing Society NAFIPS Early Career Award (2017); and PhD Thesis awards from the IEEE Computational Intelligence Society (2017), NAFIPS (2015), and Brazilian Computer Society (2014). He was granted for outstanding student papers in fuzzy systems and neural network events (FUZZ-IEEE and IJCNN) in the US, Australia, Brazil, and Scotland. He contributes as an Associate Editor of the Evolving Systems journal. His interests are in human-centered AI, granular computing, deep neural networks, control systems, and online machine learning.