Benjamin Heitmann, Ph.D.
Contact Information
| Address: |
Lehrstuhl Informatik 5 6012, ground floor, building: E2 Ahornstr. 55 52056 Aachen DE |
| Phone: | +49 241 80 21528 |
| Fax: | +49 241 80 22321 |
| Email: | heitmann@dbis.rwth-aachen.de |
Dr. Benjamin Heitmann is a post-doctoral researcher at the Information Systems chair (Informatik 5) at RWTH Aachen University. His research interests include approaches for balancing privacy and data mining through data analytics approaches with built-in privacy guarantees, as well as personalisation using knowledge graphs and the architecture of data intensive ecosystems. He holds a Ph.D. from the National University of Ireland, and an M.Sc. in computer science from the Karlsruhe Institute of Technology. The topic of his PhD thesis is a framework for cross-domain personalisation using semantic interest graphs. He is a member of the program committee for the SEMANTiCS conference and the ESWC Semantic Web Conference. In addition, he has worked as a software architect and team leader on collaborations with high profile industry clients. In 2014 and 2015, Benjamin worked as a post-doctoral researcher at the INSIGHT Centre for Data Analytics (NUI Galway, Ireland), which was previously also known as the Digital Enterprise Research Institute (DERI). During 2015, he was also the Galway Tech Lead of the Learnovate Centre in Dublin, Ireland, which is an industry-led centre of excellence for innovation and research in learning technologies.
GPG fingerprint: 3CD5 A4E8 4D57 5D32 E1F2 9FF1 77B7 1B7F 8B81 5F70
Current Teaching
Past Teaching
- Privacy Enhancing Technologies for Data Science (WS 20/21)
- Privacy and Big Data (SS 20)
- Privacy Enhancing Technologies for Data Science (WS 19/20)
- Privacy and Big Data (WS 18/19)
- Privacy Enhancing Technologies for Data Science (WS 18/19)
- Privacy and Big Data (WS 17/18)
- Privacy Enhancing Technologies for Data Science (WS 17/18)
- Privacy and Big Data (SS 17)
- Privacy Enhancing Technologies for Data Science (WS 16/17)
Theses
- Queries and Indexing on encrypted health data (Open)
- Privacy-preserving Data Publishing using Generative Adversarial Networks (Running)
- Local Differential Privacy in Intrusion Detection Systems (2020)
- A Condensation-based Anonymization Approach for Intrusion Detection (2020)
- Privacy Preserving Collaborative Filtering with SPDZ (2018)
- Interactive Secure Multi-party Calendar Scheduling (2018)
- Anonymising and de-anonymising of heterogeneous graph data containing personally identifiable information (2017)
- An Attribute-based Encryption System in the context of a Data Exchange Platform (2017)
- A Matrix Factorisation based Algorithm for Decentralised Personalisation (2017)
- Scalable anonymization of relational and transactional medical data ()
Publications
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k-RDF-Neighbourhood Anonymity: Combining Structural and Attribute-Based Anonymisation for Linked Data
Benjamin Heitmann, Felix Hermsen, Stefan Decker
Published in Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2017) at the International Semantic Web Conference (ISWC) 2017
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SemStim: Exploiting Knowledge Graphs for Cross-Domain Recommendation
Benjamin Heitmann, Conor Hayes
Published in Workshop on Semantics-Enabled Recommender Systems (SERecSys) at the IEEE International Conference on Data Mining (ICDM) 2016
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Towards the use of graph summaries for privacy enhancing release and querying of Linked Data
Benjamin Heitmann, Felix Hermsen, Stefan Decker
Published in Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2016) at the International Semantic Web Conference (ISWC) 2016
Open Access to MIT Press Book „Metamodeling for Method Engineering” 