Christian Maier, BSc MSc
| Position: | Data Scientist |
| Department: | Intelligent Connectivity |
| Telephon: | +43/662/2288-457 |
| E-Mail: | Send an e-mail |
- Nina Großegesse, Christian Maier, Felix Strohmeier, Vinicius Jose De Menezes Pereira (2025): Federated Learning for Anomaly Detection in Edge–Cloud Communication Systems. In: IEEEXplore
- Christian Maier, Nina Großegesse, Felix Strohmeier (2025): Predicting performance metrics in edge-cloud networks using Graph Neural Networks. In: Proceedings of the 3rd Workshop on Machine Learning in Networking (MaLeNe), co-located with the 6th International Conference on Networked Systems (NetSys 2025).
- Sabrina Pochaba, Christian Maier, Matthias Herlich, Peter Dorfinger (2024): Make your dataset representative: Fill data gaps with active measurements In: 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2024).
- Sabrina Pochaba, Christian Maier, Matthias Herlich, Peter Dorfinger (2024): An Open Data Set about Multi-Provider Redundancy in Cellular Networks In: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
- Stefan Farthofer, Matthias Herlich, Christian Mier, Sabrian Pochaba, Julia Lackner, and Peter Dorfinger (2022): An Open Mobile Communications Drive Test Data Set and Its Use for Machine Learning. In: IEEE Open Journal of the Communications Society, vol. 3, pp. 1688-1701, 2022.
- Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger and José Suárez-Varela (2022): Exploring the Limitations of Current Graph Neural Networks for Network Modeling. In: Proceedings of the IEEE/IFIP Network Operations and Management Symposium.
- Christian Maier, Jia Lei Du, Stefan Fahrthofer, Peter Dorfinger (2021): An Architecture for Detection of Anomalies in Deterministic Time within Real-Time Communication Networks. In: CORETA 2021: Advances on Core Technologies and Applications.
- José Suárez-Varela, Miquel Ferriol-Galmés, Albert López , Paul Almasan , Guillermo Bernárdez , David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio (2021): The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. In: ACM SIGCOMM Computer Communication Review, Vol. 51, No. 3
- Christian Maier, Jia Lei Du, Martin Happ, Matthias Herlich, Peter Dorfinger (2021): Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies. In: ITU Journal on Future and Evolving Technologies, Vol. 2, No. 4.
- M. Herlich, C. Maier (2021): Measuring and Monitoring Reliability of Wireless Networks. In: IEEE Communications Magazine, vol. 59, no. 1, pp. 76-81, January 2021
- Christian Maier, Matthias Herlich (2020): Adaptive Wireless Reliability Measurements. In: 2020 Network Traffic Measurement and Analysis Conference (TMA) Lightning Talk.
- Christian Maier, Peter Dorfinger, Jia Lei Du, Sven Gschweitl, Johannes Lusak (2019): Reducing Consumed Data Volume in Bandwidth Measurements via a Machine Learning Approach In: 2019 Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019, pp. 215-220.
- Matthias Herlich, Christian Maier, Peter Dorfinger (2018): A Black Box Measurement Method for Reliability of Wireless Communication. In: EM-5G’18: Workshop on Experimentation and Measurements in 5G, December 4, 2018, Heraklion, Greece. ACM, New York, NY, USA, 6 pages.
Publications of the person
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