Our research experts
Dr. Stefan Schmid
Knowledge engineering – transforming raw data into actionable knowledge
“We investigate and develop technologies to manage, discover, and integrate heterogeneous data in a meaningful and context-aware manner. Our aim is to automatically transform raw data into actionable knowledge for tomorrow’s data-driven applications.”
As a computer scientist, I am excited to explore and advance innovative technologies in the context of the Internet of Things (IoT) and connected services. After years of next-generation mobile network research and standardization, I now concentrate on the key challenges of leveraging data of connected devices, namely semantic interoperability and knowledge management in open and scalable data ecosystems
Robert Bosch GmbH
Senior Expert in the area of IoT at Robert Bosch Corporte Research
NEC Laboratories Europe
2005 - 2013
Lancaster University, U.K.
1999 - 2003
Ph. D. in Computer Science
A. Bröring et al. (2018)The BIG IoT API - Semantically Enabling IoT Interoperability
- A. Bröring, A. Ziller, V. Charpenay, S. Schmid, C. Seidel
- IEEE Pervasive Computing
A. Bröring et al. (2017)Enabling IoT ecosystems through platform interoperability
- A. Bröring, S. Schmid, C. K. Schindhelm, A. Khelil, S. Kabisch, D. Kramer, D. Le Phuoc
- IEEE software 34, vol. 34, issue 1, p. 54-61
S. Schmid et al. (2017)An Architecture for Interoperable IoT Ecosystems
- S. Schmid, A. Bröring, D. Kramer, S. Käbisch, A. Zappa, M. Lorenz, Y. Wang
- Lecture Notes in Computer Science, vol. 10218, p. 39-55
F.A. Zdarsky et al. (2015)Local mobility and service access for enterprise femtocell networks
- F.A. Zdarsky, A. Mäder, S. Schmid
- Transactions on Emerging Telecommunications Technologies, vol. 26, issue 4, p. 650-663
S. Spagna et al. (2013)Design principles of an operator-owned highly distributed content delivery network
- S. Spagna, M. Liebsch, R. Baldessari, S. Niccolini, S. Schmid, R. Garroppo
- IEEE Communications Magazine, vol. 51, issue 4, p. 132-140
F. Z. Yousaf et al. (2013)SoftEPC—Dynamic instantiation of mobile core network entities for efficient resource utilization
- F. Z. Yousaf, J. Lessmann, P. Loureiro, S. Schmid
- IEEE International Conference, p. 3602-3606
F. Z. Yousaf et al. (2013)Mobile CDN enhancements for QoE-improved content delivery in mobile operator networks
- F. Z. Yousaf, M. Liebsch, A. Maeder, S. Schmid
- IEEE Network, vol. 27, issue 2, p. 14-21
K. Samdanis et al. (2012)Traffic offload enhancements for eUTRAN
- K. Samdanis, T. Taleb, and S. Schmid
- IEEE Communications Surveys & Tutorials, vol. 14, issue 3, p. 884-896
G. Bouabene et al. (2010)The Autonomic Network Architecture (ANA)
- G. Bouabene, C. Jelger, C. F. Tschudin, S. Schmid, A. Keller, M. May
- IEEE Journal on Selected Areas in Communications, vol. 28, issue 1, p. 4-14
I. Ali et al. (2009)Network-based mobility management in the evolved 3GPP core network
- I. Ali, A. Casati, K. Chowdhury, K. Nishida, E. Parsons, S. Schmid, R. Vaidya
- IEEE Communications Magazine, vol. 47, issue 2, p. 58-66
S. Schmid et al. (2006)Towards autonomic networks
- S. Schmid, M Sifalakis, D Hutchison
- Lecture Notes in Computer Science, p. 1-11
S. Schütz et al. (2005)Protocol enhancements for intermittently connected hosts
- S. Schütz, L. Eggert, S. Schmid, M. Brunner
- ACM SIGCOMM Computer Communication Review, vol. 35, issue 3, 3, p. 5-18
S. Schmid et al. (2004)Turfnet: An architecture for dynamically composable networks
- S. Schmid, L Eggert, M Brunner, J Quittek
- Lecture Notes in Computer Science, vol. 3457, p. 94-114
Interview with Dr. Stefan Schmid
Senior Expert for IoT and Connected Systems
Please tell us what fascinates you most about research.
I am passionate to explore new ideas and to develop and test them through real-life applications.
The opportunity to contribute to innovations that advance the state of the art and outperform existing solutions is especially fascinating to me. I also love the collaborative spirit and diversity of the global research community in my area of research.
What makes research done at Bosch so special?
I love our company motto: “Invented for life.” The focus on technologies that protect and improve the quality of life in all its forms and facets makes me proud of my work.
Bosch, with its product portfolio across the domains mobility, industry, energy & building, and consumer goods, offers a great environment to carry out interdisciplinary research and develop holistic solutions with the prospect of creating cross-domain benefits and unique user experiences. I am also inspired by our company’s founder Robert Bosch, who was not only a remarkable inventor and entrepreneur but also a great visionary. Over a century ago, he established the Bosch culture and values, which drive the company to this day.
What research topics are you currently working on at Bosch?
I am currently working on the following topics:
- Semantic data management – we define semantic models and architectural extensions for enterprise data lakes and develop tools to automatically annotate and enrich data assets by utilizing internal and external knowledge sources.
- Semantic interoperability – in the context of a European research project (H2020), we design and develop a decentralized data marketplace that supports data providers to describe their assets according to common semantic models, and enables data consumers to discover and integrate the desired data assets automatically.
- Knowledge engineering – we develop methods and tools to expand and manage semantic models for knowledge representation in a semi-automatic and assisted manner, and to support knowledge acquisition and validation for next-generation AI systems.
What are the biggest scientific challenges in your field of research?
The ability to combine semantic technologies with machine learning is the key to the future of AI. While semantic technologies enable machines to directly leverage stored knowledge (facts) and support logical reasoning, machine learning allows computers to derive insights and make predictions from large amounts of unstructured data without being explicitly programmed. Combining these two fields will lead to a significant leap in the capabilities of tomorrow’s AI systems.
How do the results of your research become part of solutions "Invented for life"?
I am proud to work for a company with the aspiration to develop technologies that support life in all its forms and facets. Our research on knowledge engineering enables our business units to fully leverage data about their products in order to improve their performance and functionalities, and advance their safety and security. We also use the knowledge about our products, their users, and the world (weather, traffic, etc.) to provide intelligent assistance in everyday life tasks.