Dr. Christian Gruhl

Team Leader: Self-Aware Microsystems (SAM)

Gruhl, Christian
Telephone
+49 561 804-6186
Fax
+49 561 804-6022
Email
Site
Wilhelmshöher Allee 73
34121 Kassel
Room
WA-altes Gebäude (WA 73), ohne Raumangabe

Publications

2022[ to top ]
  • Loeser, I., Braun, M., Gruhl, C., Menke, J.-H., Sick, B., Tomforde, S.: The Vision of Self-Management in Cognitive Organic Power Distribution Systems Energies. 15, 881 (2022). https://doi.org/https://doi.org/10.3390/en15030881.
  • Draude, C., Gruhl, C., Hornung, G., Kropf, J., Lamla, J., Leimeister, J.M., Sick, B., Stumme, G.: Social Machines Informatik Spektrum. 45, 38–42 (2022). https://doi.org/https://doi.org/10.1007/s00287-021-01421-4.
  • Gruhl, C., Tomforde, S., Sick, B.: Self-Aware Microsystems In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 126–127. IEEE (2022). https://doi.org/10.1109/ACSOSC56246.2022.00045.
  • Krupitzer, C., Gruhl, C., Sick, B., Tomforde, S.: Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario Information and Software Technology. 145, 106826 (2022). https://doi.org/10.1016/j.infsof.2022.106826.
  • Decke, J., Schmeißing, J., Botache, D., Bieshaar, M., Sick, B., Gruhl, C.: NDNET: A Unified Framework for Anomaly and Novelty Detection In: International Conference on Architecture of Computing Systems (ARCS). bll 197–210. Springer (2022). https://doi.org/10.1007/978-3-031-21867-5_13.
2021[ to top ]
  • Gruhl, C., Hannan, A., Huang, Z., Nivarthi, C., Vogt, S.: The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 204–209. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00055.
  • Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P.R., Nelson, P.R., Pournaras, E., Stein, A., Tomforde, S.: Self-improving system integration: Mastering continuous change Future Generation Computer Systems. 117, 29–46 (2021). https://doi.org/10.1016/j.future.2020.11.019.
  • Gruhl, C., Tomforde, S.: OHODIN -- Online Anomaly Detection for Data Streams In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 193–197. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00046.
  • Gruhl, C., Sick, B., Tomforde, S.: Novelty detection in continuously changing environments Future Generation Computer Systems. 114, 138–154 (2021). https://doi.org/10.1016/j.future.2020.07.037.
  • Heidecker, F., Gruhl, C., Sick, B.: Novelty based Driver Identification on RR Intervals from ECG Data In: Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll 407–421. IEEE, Milan, Italy (2021). https://doi.org/10.1007/978-3-030-68799-1_29.
  • Al-Falouji, G., Gruhl, C., Tomforde, S.: Digital Shadows in Self-Improving System Integration: A Concept Using Generative Modelling In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 166–171. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00047.
  • Hannan, A., Gruhl, C., Sick, B.: Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders In: IEEE International Conference on Cyber Security and Resilience (CSR). bll 1–7. IEEE (2021). https://doi.org/10.1109/csr51186.2021.9527980.
2020[ to top ]
  • Gruhl, C., Schmeißing, J., Tomforde, S., Sick, B.: Normal-Wishart clustering for novelty detection In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 64–69. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00032.
  • Pham Minh, T., Kottke, D., Tsarenko, A., Gruhl, C., Sick, B.: Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning In: International Joint Conference on Neural Networks (IJCNN). IEEE (2020). https://doi.org/10.1109/ijcnn48605.2020.9206873.
  • Tomforde, S., Gruhl, C.: Fairness, performance, and robustness: is there a cap theorem for self-adaptive and self-organising systems? In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 54–59. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00029.
  • Tomforde, S., Gruhl, C., Sick, B.: A swarm-fleet infrastructure as a scenario for proactive, hybrid adaptation of system behaviour In: Workshop on Self -Aware Computing (SeAC), ACSOS. bll 166–169. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00050.
2019[ to top ]
  • Bellman, K.L., Gruhl, C., Landauer, C., Tomforde, S.: Self-Improving System Integration -- On a Definition and Characteristics of the Challenge In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 1–3. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00014.
  • Tomforde, S., Gelhausen, P., Gruhl, C., Haering, I., Sick, B.: Explicit Consideration of Resilience in Organic Computing Design Processes In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–6. VDE (2019).
  • Barnes, C.M., Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P.R., Nelson, P.R., Stein, A., Stewart, C., Tomforde, S.: CHARIOT -- Towards a Continuous High-Level Adaptive Runtime Integration Testbed In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 52–55. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00026.
2018[ to top ]
  • Gruhl, C., Sick, B.: Novelty detection with CANDIES: a holistic technique based on probabilistic models International Journal of Machine Learning and Cybernetics. 9, 927–945 (2018). https://doi.org/10.1007/s13042-016-0618-8.
  • Gruhl, C., Tomforde, S., Sick, B.: Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 198–203. IEEE (2018). https://doi.org/10.1109/fas-w.2018.00047.
2017[ to top ]
  • Gruhl, C.: Highly Autonomous Learning in Collaborative, Technical Systems In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. kassel university press, Kassel, Germany (2017).
  • Gruhl, C., Beer, F., Heck, H., Sick, B., Bühler, U., Wacker, A., Tomforde, S.: A Concept for Intelligent Collaborative Network Intrusion Detection In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. VDE (2017).
2016[ to top ]
  • Heck, H., Wacker, A., Rudolph, S., Gruhl, C., Sick, B., Tomforde, S.: Towards Autonomous Self-tests at Runtime In: IEEE International Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO), FAS*W. bll 98–99. IEEE (2016). https://doi.org/10.1109/fas-w.2016.32.
  • Fisch, D., Gruhl, C., Kalkowski, E., Sick, B., Ovaska, S.J.: Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers Information Sciences. 370--371, 476–496 (2016). https://doi.org/10.1016/j.ins.2016.08.016.
  • Gruhl, C.: Probabilistic Obsoleteness Detection for Gaussian Mixture Models In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2016. bll 45–56. kassel university press, Kassel, Germany (2016).
  • Heck, H., Gruhl, C., Rudolph, S., Wacker, A., Sick, B., Hähner, J.: Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).
2015[ to top ]
  • Heck, H., Edenhofer, S., Gruhl, C., Lund, A., Shuka, R., Hähner, J.: On the Application Possibilities of Organic Computing Principles in Socio-technical Systems In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 165–170. kassel university press, Kassel, Germany (2015).
  • Gruhl, C.: Anomalies in Generative Trajectory Models -- Discovering Suspicious Traces with Novelty Detection Methods In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 95–107. kassel university press, Kassel, Germany (2015).
  • Gruhl, C., Sick, B., Wacker, A., Tomforde, S., Hähner, J.: A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection In: IEEE International Conference on Awareness Science and Technology (iCAST). bll 194–200. IEEE, Qinhuangdao, China (2015). https://doi.org/10.1109/icawst.2015.7314046.
2014[ to top ]
  • Gruhl, C.: Self-Adapting Generative Modeling Techniques -- A Basic Building Block for Many Organic Computing Techniques In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2014. bll 99–109. kassel university press, Kassel, Germany (2014).
  • Tomforde, S., Hähner, J., von Mammen, S., Gruhl, C., Sick, B., Geihs, K.: "Know thyself" -- Computational Self-Reflection in Intelligent Technical Systems In: Workshop on Self-Improving System Integration (SISSY), SASO. IEEE, Braunschweig, Germany (2014). https://doi.org/10.1109/SASOW.2014.25.