Dr.-Ing. Stefan Schulte is Associate Professor at TU Wien.
Stefan received a diploma degree in economics and a Bachelor in Computer Science from the University of Oldenburg, Germany, and a Master of Information Technology (with Merit) from the University of Newcastle, New South Wales, in 2005 and 2006, respectively. From 2006 to 2010, he was a PhD student at the Multimedia Communications Lab at TU Darmstadt, Germany. In 2010, Stefan finished his PhD at TU Darmstadt summa cum laude ("mit Auszeichnung"). Before joining TU Wien in August 2011, Stefan headed the research group "Service-oriented Computing" at TU Darmstadt. From 2015 to early 2019, he was Assistant Professor (tenure track) at TU Wien. He finished his habilitation ("venia docendi") in Computer Science at TU Wien's Faculty of Informatics in 2018 and got promoted to the tenured position of Associate Professor in March 2019.
Findings from his research have been published in more than 90 refereed scholarly publications, including publications in high-tier journals like Information Systems, IEEE Transactions on Services Computing, and Future Generation Computer Systems as well as top-tier conferences like the International Conference on Very Large Databases. He is a member of the Editorial Boards of the Open Computer Science journal, the Journal of Web Semantics, and of PeerJ Computer Science. In 2017, he was the PC Co-Chair of the 6th European Conference on Service-Oriented and Cloud Computing and in 2019, he is PC Co-Chair of the inaugural IEEE International Conference on Decentralized Applications and Infrastructures.
From 2012 to 2015, Stefan was the project coordinator of the EU FP7 STREP SIMPLI-CITY - The Road User Information System of the Future, and from 2015 to 2017, he was the Scientific Leader of the EU Factories of the Future Research and Innovation Action Cloud-based Rapid Elastic Manufacturing (CREMA). He has acquired several projects sponsored by the industry, the German Federal Ministry of Economics and Technology and the European Union and was the overall proposal coordinator of the EU projects Adaptive Virtual Enterprise Manufacturing Environment (ADVENTURE), SIMPLI-CITY, and CREMA.
Stefan is a member of the Institute of Electrical and Electronics Engineers (IEEE), Gesellschaft für Informatik (GI), and Deutscher Hochschulverband.
Stefan's research strives to provide the means to process (big) data from, within, and beyond the Internet of Things (IoT). For this, Stefan investigates and applies methods and mechanisms from the fields of data engineering and elastic computing. The proliferation of these technologies enables both small-scale and large-scale smart environments and systems for smart cities, smart energy grids, and smart factories. A special focus is on Quality of Service (QoS) and Quality of Experience (QoE) aspects. He has made several important contributions to the fields of elastic stream processing, elastic processes, and fog computing. More recently, he has also made some first contributions to the fields of data provenance and runtime verification, applying blockchain technologies for this.
While Stefan's research results are generally applicable, a special focus is on the manufacturing industry, e.g., in the projects CREMA, ADVENTURE, FORA as well as the Doctoral College Cyber-Physical Production Systems, and smart mobility, e.g., in the project SIMPLI-CITY.
- Best Reviewer Award,
20th International Conference on Business Information Systems (BIS 2017)
- Winner in 2 out of 3 categories,
Annual International Contest S3 on Semantic Service Selection 2010, 2012,
Track "SAWSDL matchmaker evaluation", Categories "Average Query Response Time" and "Precision for Graded Relevance"
- Best Paper Award,The Fifth International Conference on Internet and Web Applications and Services (ICIW 2010),
Paper "Enhancing Availability with Self-Organization Extensions in a SOA Platform"
- Best Presentation Awards,Second IEEE International Conference on Digital Ecosystems and Technologies (DEST 2008),
Track "Digital Business Ecosystems", Paper "Queuing-based Capacity Planning Approach for Web Service Workflows Using Optimization Algorithms",
Track "Infrastructure for Digital Ecosystems", Paper "Towards Automated Monitoring and Alignment of Service-based Workflows"