Davide Mottin is a postdoctoral researcher at Hasso Plattner Institute. His research interests include graph mining, novel query paradigms, and interactive methods. He presented graph exploration methods in KDD 2015 and VLDB 2014 and is actively engaged in teaching database, big data analytics, and graph mining for Bachelor and Master courses. He received his PhD in 2015 from the University of Trento.
Anja Jentzsch is a PhD student in the Information Systems Group at Hasso Plattner Institute Potsdam. She is a Linked Data enthusiast, being involved in several Linked Data projects like Wikidata and DBpedia since 2007. She presented a tutorial in graph mining, web of data, and data integration in WWW conference. Currently, she is working on exploring frequent and common graph structures in heterogeneous graph databases.
Emmanuel Müller is professor and head of the Knowledge Discovery and Data Mining group at Hasso Plattner Institute. His research interests include graph mining, stream mining, clustering and outlier mining on graphs, streams, and traditional databases. He presented tutorials in database, data mining, and machine learning conferences such as SDM, ICDM, and ICML. He received his PhD in 2010 from RWTH Aachen University, had been independent group leader at Karlsruhe Institute of Technology (2010 - 2015) and postdoctoral fellow at University of Antwerp (2012 - 2015).