about me

I am a senior researcher at the Intelligent Sensor-Actuator-Systems (ISAS) laboratory, Karlsruhe Institute of Technology (KIT), Germany. I have obtained my Ph.D. from Karlsruhe Institute of Technology under the supervision of Prof. Uwe D. Hanebeck (KIT) and Dr. Simon J. Julier (UCL, UK). On this website, you can find information about my work and research interests.

from observation to information

My research in the field of state estimation theory includes robust Kalman filtering, distributed and decentralized information processing for sensor networks, and event-based filtering. With state estimation, usable information can be extracted from sensor data — even under severe uncertainties. Quantifying uncertainty in predictions and estimates is essential for the assessment and design of robust filtering techniques. Further important challenges in developing filtering techniques arise from nonlinear process and sensor models and from spatially distributed systems. In view of these challenges, I’m interested in consistent and robust solutions.

research overview

news

  • September 04, 2018 Our article for the Powder Technology journal has been accepted.
  • June 21, 2018 Our article for the IET Signal Processing journal has been accepted.
  • May 01, 2018 Three papers for the FUSION conference in Cambridge, United Kingdom, have been accepted.
  • March 27, 2018 Our article for the Sensors journal has been accepted.
  • October 02, 2017 Our article for the Journal of Real-Time Image Processing has been accepted.
  • September 18, 2017 Three papers for the MFI conference in Daegu, Korea, have been accepted.
  • September 08, 2017 Article for tm - Technisches Messen (teme) has been accepted.
  • May 10, 2017 Three papers for the FUSION conference in Xi’an, China, have been accepted.

recent publications

  1. [1] C. Pieper, F. Pfaff, G. Maier, H. Kruggel-Emden, S. Wirtz, B. Noack, R. Gruna, V. Scherer, U. D. Hanebeck, T. Längle, and J. Beyerer, Numerical Modelling of an Optical Belt Sorter Using a DEM–CFD Approach Coupled with Particle Tracking and Comparison with Experiments, Powder Technology, vol. 370, pp. 181–193, Dec. 2018. more
  2. [2] K. Li, D. Frisch, S. Radtke, B. Noack, and U. D. Hanebeck, Wavefront Orientation Estimation Based on Progressive Bingham Filtering, in Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2018), Oct. 2018. more
  3. [3] S. Özgen, U. D. Hanebeck, B. Noack, M. Huber, F. Rosenthal, and J. Mayer, Retrodiction of Data Association Probabilities via Convex Optimization, in Proceedings of the 21st International Conference on Information Fusion (Fusion 2018), Cambridge, United Kingdom, Jul. 2018. more
  4. [4] S. Radtke, B. Noack, U. D. Hanebeck, and O. Straka, Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples, in Proceedings of the 21st International Conference on Information Fusion (Fusion 2018), Cambridge, United Kingdom, Jul. 2018. more
  5. [5] M. Aristov, B. Noack, U. D. Hanebeck, and J. Müller-Quade, Encrypted Multisensor Information Filtering, in Proceedings of the 21st International Conference on Information Fusion (Fusion 2018), Cambridge, United Kingdom, Jul. 2018. more
  6. [6] F. Rosenthal, B. Noack, and U. D. Hanebeck, State Estimation in Networked Control Systems with Delayed and Lossy Acknowledgments, in Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System, S. Lee, H. Ko, and S. Oh, Eds. Cham: Springer International Publishing, Jul. 2018, pp. 22–38. more
  7. [7] J. Duník, O. Straka, B. Noack, J. Steinbring, and U. D. Hanebeck, On Directional Splitting of Gaussian Density in Nonlinear Random Variable Transformation, IET Signal Processing, Jul. 2018. more