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Dr.-Ing. Alexander Willner


IIoT Group Manager & Lecturer

Room 425
Einsteinufer 25
10587 Berlin



Curriculum Vitae

Dr. Alexander Willner is the head of the Industrial Internet of Things (IIoT) Center at the Fraunhofer Institute for Open Communication Systems (FOKUS) and the head of the IIoT research group at the chair of Next Generation Networks (AV) at the Technical University Berlin (TUB). In joint collaboration with the Berlin Center of Digital Transformation (LZDV) he is working with his groups in applying standard-based Internet of Things (IoT) technologies to industrial domains. With a focus on moving towards the realization of interoperable communication within the Industry 4.0, the most important research areas include industrial real-time networks (TSN), middleware systems (OPC UA), distributed AI (Digital Twins) and distributed Cloud Computing (Edge Computing) including management and orchestration.

Prior research positions include the University Bonn, he holds an M.Sc. and a Ph.D. (Dr.-Ing.) in computer science from the University Göttingen and the Technical University Berlin respectively. His research interests are on distributed information systems, linked data, communication middleware and service-oriented architectures. He is active in relevant standardization activities and alliances and gives a corresponding lecture at the Technical University Berlin; and in the past at the Humboldt University of Berlin as well.

At various occasions Dr. Willner also acts as ambassador for the science capital Berlin.

Tips for Students and Researchers


Presentation: Applying Linked Data Paradigms for Regional Weather Data Reanalysis
Citation key Figura2018bc
Author Figura, Richard and Radtke, Norman and Willner, Alexander and Martin, Michael
Year 2018
Editor on Regional Reanalysis (ISSR) 2018, International Symposium
How Published International Symposium on Regional Reanalysisx 2018, ISSR
Abstract “Data is the new oil”, this quote ascribed to Clive Humby most clearly describes the increasing impact of information on our society and economy. More and more data sets from various sources are published and used for different kinds of applications. Atmospheric reanalysis represents one of the richest and most valuable data sets for the open source community. However, transforming it into valuable information and linking it to other data sets is a challenge, especially for users from non-meteorological domains. In this presentation, we discuss the advantages of applying Linked (Open) Data principles to meteorological data in order to improve data acquisition for regional reanalysis (COSMO-REA2). By converting a COSMO-REA2 subset and linking it to further converted linked data, we illustrate how to gain much more knowledge using this approach. Different demonstrated scenarios, such as infrastructure planning for wind farming or transportation underline the advantage of this approach. Based on that, we argue that data in general and meteorological data in particular should be accessible by following the Linked Data paradigms.
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