Elias Grünewald, M.Sc.
Elias Grünewald has been researching and teaching for his PhD at the Information Systems Engineering group at TU Berlin since 11/2020 on privacy engineering, cloud computing, and the interplay between computer science and society. He completed his Master of Science in Information Systems Management at TU Berlin and Politecnico di Milano (2018-2020). Previously, he completed a Bachelor's degree in Business Informatics at TU Berlin and Universidad de Sevilla (2014-2018). During his studies, he was a long-term teaching assistant in Information Governance, Information Systems & Data Analytics, Introduction to Programming, and Internet & Privacy. He then conducted research on AI-based transparency and data access in the DaSKITA project (2020-2021). His achievements have been supported and funded by Alliance4Tech, Erasmus+, the Deutschlandstipendium, and the Software Campus program. He is leading the BMBF-funded project TOUCAN on regulatory transparency in cloud-based systems (2023-2024).
Elias is involved in science and higher education policy. Among other positions, he has already been active in the Academic Senate, as Vice-Chair of the Extended Academic Senate, in various appointment and ad-hoc commissions of the TU Berlin or in the Berlin University Alliance (Advisory Board of the Collaboration Platform) as well as the European Universities Initiative ENHANCE (General Assembly). He is a member of the scientific advisory board of the KVF at Verbraucherzentrale NRW e.V. Elias is a member of the Gesellschaft für Informatik (GI) and the Association for Computing Machinery (ACM).
Publications
2022
Cloud Native Privacy Engineering through DevPrivOps
Privacy and Identity Management. IFIP International Summer School, Esch-sur-Alzette, 2021
Publisher: Springer International Publishing, Cham
2022
Configurable Per-Query Data Minimization for Privacy-Compliant Web APIs
Proceedings of the 2022 ICWE International Conference on Web Engineering, Bari
2022
2021
Datensouveränität für Verbraucher:innen: Technische Ansätze durch KI-basierte Transparenz und Auskunft im Kontext der DSGVO
fromAlexander Boden, Timo Jakobi, Gunnar Stevens, Christian Bala (Hgg.): Verbraucherdatenschutz - Technik und Regulation zur Unterstützung des Individuums, Page 1 – 17
2021
- ISBN
- 978-3-96043-095-7
RedCASTLE: Practically Applicable $k_s$-Anonymity for IoT Streaming Data at the Edge in Node-RED
Proceedings of the 8th International Workshop on Middleware and Applications for the Internet of Things
Publisher: Association for Computing Machinery, New York, NY, USA
2021
- ISBN
- 978-1-4503-9167-2/21/12
RedCASTLE: Practically Applicable k_s-Anonymity for IoT Streaming Data at the Edge in Node-RED
Proceedings of the 8th International Workshop on Middleware and Applications for the Internet of Things
Publisher: Acm
2021
TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
Proceedings of the 2021 Conference on Fairness, Accountability, and TransparencyfromFAccT '21
Publisher: Association for Computing Machinery, New York, NY, USA
2021
TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures
2021 IEEE European Symposium on Security and Privacy Workshops (EuroS\&PW)
Publisher: IEEE Computer Society
2021
2019
MockFog: Emulating Fog Computing Infrastructure in the Cloud
2019 IEEE International Conference on Fog Computing (ICFC), Page 144–152
Publisher: IEEE
2019
