I am a computer scientist based in Berlin.
I research and develop distributed information systems. My research is on distributed information systems, Internet of Things, data stream processing and Linked Data, semantics and AI.
I am the CEO of FOKUS (Fraunhofer Institute for Open Communication Systems) and a full professor for “Open Distributed Systems” at the Technical University Berlin. I am also a director of the Weizenbaum Institute (German National Internet Institute).
I am also on a number of (advisory) boards, for example, Daimler Center for Automotive Information Technology Innovations (DCAITI), Salzburg Research, Computer Science Insititute - University of St. Gallen, Center for Advanced Internet Studies (CAIS), and Care Research Technology Centre (CR&T) at Imperial College London (among others).
I am affiliated to and work in the following institutions.
These are the scientific papers I published and the research projects I coordinated or participated in.
I have published more than 200 papers in scientific journals and conferences. DBLP knows them all.
My current h-index is 55 and my work has been cited over 12.000 times. Google Scholar knows them all.
Some of my papers you may find interesting.
The SSN ontology of the W3C semantic sensor network incubator group
A machine-readanle desription of sensors in terms of capabilities, measurement processes, observations and deployments. This paper is the basis for a W3C standard (World Wide Web Consortium).
A native and adaptive approach for unified processing of linked streams and linked data
Honourable mention (2nd), Semantic Web Science Association (SWSA) Ten-Year Award (2021)
Our data stream processing system: Scalable, native and adaptive query processing over Linked Stream Data integrated with Linked Data.
P-Grid: a self-organizing structured P2P system
A peer-to-peer system based on a virtual distributed search tree with efficient search in O(log(n), truly decentralized, i.e., requires no central coordination or knowledge, and based purely on randomized algorithms and local interactions.
Infrastructure for data processing in large-scale interconnected sensor networks
A platform to realize the vision of a global "Sensor Internet." This requires a flexible middleware layer which abstracts from the underlying, heterogeneous sensor network technologies and supports fast and simple deployment and addition of new platforms, facilitates efficient distributed query processing and combination of sensor data, provides support for sensor mobility, and enables the dynamic adaption of the system configuration during runtime with minimal (zero-programming) effort.
SPITFIRE: toward a semantic web of things
A vision and architecture of a Semantic Web of Things: a service infrastructure that makes the deployment and use of semantic applications involving Internet-connected sensors almost as easy as building, searching, and reading a web page today.
RDF data storage and query processing schemes: A survey
A comprehensive study of the state of the art in handling and querying RDF data with focus on data storage techniques, indexing strategies, and query execution mechanisms plus a classification of existing systems and approaches, benchmarkind and open problems.