Research Focus
"Data Intensive Computing and Graph Databases"
Abstract: Dr. Martens' research lies deeply in data management, with a strong current focus on query language design and graph databases. He intricately combines these areas with logic, complexity, and formal language theory. One of his primary scientific goals is to find an optimal balance that makes programming with data highly efficient, precise, intuitive, and easy for developers and researchers alike.
Biography
Wim Martens is professor for Data Intensive Computing at the University of Bayreuth. He is interested in data management (with a current focus on query language design and graph databases), logic, complexity, and formal language theory. One of his goals is to find a good balance for making programming with data easy, intuitive, precise, and efficient.
He was an invited speaker at STOC 2017 and PODS 2022, and his research received several awards (e.g., SIGMOD Best Industry Paper, five SIGMOD research highlight awards, a CACM research highlights award, an ICDT best paper and Test-of-Time award, and the Belgian dissertation award for computer science). He was PC chair of PODS and ICDT, and acted as program committee member in major conferences in databases, the Web, theoretical computer science, and logic, such as SIGMOD, PODS, ICDE, ICDT, WWW, ICALP, STACS, and LICS. Currently, he is on the editorial boards of ACM Transactions on Database Systems and Transactions on Graph Data and Knowledge, and the advisory board of TheoretiCS. In the past, he chaired the ICDT Council.