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Gyözö Gidofalvi is an Associate Professor at the KTH Royal Institute of Technology, working within the Division of Geoinformatics. He has extensive experience in various areas of data mining, particularly focusing on high-volume industrial data streams and spatio-temporal data mining methods for location-based services. He completed his Postdoctoral fellowship at the Uppsala Database Laboratory, Department of Information Technology, Uppsala University. Gyözö's academic journey includes a Master’s degree from the University of California, San Diego, where he specialized in financial text mining, as well as experience with connectionist learning methods, genetic algorithms, and computer vision. He actively teaches several courses related to Geoinformatics, including Degree Project Geoinformatics, Research Methodology, and Spatial Databases. His expertise encompasses both practical applications and theoretical foundations in geoinformatics and data analysis, making him a vital contributor to the academic community in his field.
Uppsala Database Laboratory • Uppsala, Sweden
Involved in the iStreams project, focusing on developing methods and tools for analyzing high-volume industrial data streams.
Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).