Kyriakos Mouratidis

Professor at Singapore Management University, Singapore

Kyriakos Mouratidis received his B.Sc. from Aristotle University of Thessaloniki in 2002 and his Ph.D. from Hong Kong University of Science and Technology in 2006, both in Computer Science. Currently, he is a Professor of Computer Science at Singapore Management University. His main research area is spatial databases, with a focus on continuous query processing, road network databases and spatial optimization problems. He has also worked on preference-based queries, wireless broadcasting systems, and outsourced database authentication. He publishes in the main venues for database research (e.g., SIGMOD, VLDB, TODS, VLDB Journal, etc.) and serves on program/organizing committees and editorial boards in the same community.

ResearchGate: https://www.researchgate.net/profile/Kyriakos-Mouratidis

Title: Applications of geometric reasoning at scale: the case of low-dimensional preference queries

In this talk, we will explore the application of geometric reasoning in the context of low-dimensional preferences over large datasets. We will start with an overview of the standard queries for multi-objective decision making and demonstrate their direct connection to recommendations and to market analysis. We will demonstrate how and why this type of preferences are natural to actual applications and practical for the support of real users in their choices and decisions. Next, we will illustrate that the principles which underlie preference-based querying are geometric in nature, thus enabling the use of spatial data management techniques, such as multi-dimensional indices and geometry-based pruning. We will use three recent studies as examples for the potential of approaching preference querying with geometrical/spatial techniques. We will conclude with an outlook on directions for future work that are relevant to the MEDES audience.