Professor Kampis used to act as founding chairman and Professor (between 1994 and 2016) of the department of History and Philosophy of Science at Eötvös Loránd University in Budapest (http://hps.elte.hu). He holds a PhD and a Habilitation in Biology and a D.Sc. in Philosophy of Science. Main research interests in computational modeling, Artificial Life, cognitive science (Director of the Budapest Semester in Cognitive Science, http://hps.elte.hu/BSCS), complex systems (www.deepdata.org) and evolutionary systems. Dr. Kampis has about 150 scientific publications, and he is the author or editor of several books with international publishers Elsevier, Kluwer, and Springer. Serves on the editorial boards of the Elsevier journals Cognitive Systems Research and Computational Science. He has joined DFKI in 2012 as a Senior Researcher.
Bahle, G., Poxrucker, A., Kampis, G., & Lukowicz, P. (2016, June). An Adaptive and Dynamic Simulation Framework for Incremental, Collaborative Classifier Fusion. In International Conference on Digital Transformation and Global Society (pp. 600-609). Springer, Cham.
Kampis, G., Kantelhardt, J. W., Kloch, K., & Lukowicz, P. (2015). Analytical and simulation models for collaborative localization. Journal of Computational Science, 6, 1-10.