, of Neu-Ulm, has won one of the two Dissertation Awards granted by the division for Databases and Information Systems of the . GI awards the best PhD theses of this research field every two years in the context of the , which was held in Hamburg in February 2015 this time.
, Maximilian Dylla elaborates on a new, unified approach for learning and query processing under a probabilistic and temporal database model. The latter is technically quite challenging as it combines various aspects from database research, probability theory, and machine learning. Dr. Dylla's thesis makes a number of key contributions in this field by providing a unified data model for both probabilistic and temporal relational data. Furthermore, a novel algorithm for top-k query evaluation under this data model was developed by him. This algorithm in particular avoids full evaluation of probabilistic queries against the underlying database and is yet able to return the k most probable query answers in an exact way.
Dr. Dylla studied Computer Science at the , at the and at . He obtained his Bachelor degree from the University of Karlsruhe in 2007, a Master degree from the University of Gothenborg in 2009, and was promoted with a doctoral degree at Saarland University and the Max-Planck-Institute for Informatics (MPI-Inf) in Saarbr眉cken in 2014. Dr. Dylla is currently working as a PostDoc for .
The PhD thesis was jointly supervised by and 
Prof. Dr. Martin Theobald (午夜探花). Finally, we would like to thank who served as an external reviewer.