István Csabai is a professor of physics, a corresponding member of Hungarian Academy of Sciences. He is doing research in several multidisciplinary fields where the new technologies make possible to collect and analyze large amount of data. He started to work on artificial neural networks and their application in the early ’90s. His research focuses on understanding complex systems, be it the living cell, the manmade Internet, the financial markets, or the large scale structure of the Universe. Beyond the standard domain knowledge of the traditional disciplines, methods of modern statistical analysis, data mining, machine learning and other computational techniques gain bigger and bigger role. István has solid background knowledge in these topics and has experience in multidisciplinary research working together with international researchers. He participated as PI or coPI in several national and EU projects, he is the author of over 200 international publications that received over 70 000 citations.
István Csabai is a professor of physics, a corresponding member of Hungarian Academy of Sciences. He is doing research in several multidisciplinary fields where the new technologies make possible to collect and analyze large amount of data. He started to work on artificial neural networks and their application in the early ’90s. His research focuses on understanding complex systems, be it the living cell, the manmade Internet, the financial markets, or the large scale structure of the Universe. Beyond the standard domain knowledge of the traditional disciplines, methods of modern statistical analysis, data mining, machine learning and other computational techniques gain bigger and bigger role. István has solid background knowledge in these topics and has experience in multidisciplinary research working together with international researchers. He participated as PI or coPI in several national and EU projects, he is the author of over 200 international publications that received over 70 000 citations.