快三砍龙

Professor Dr. Kerstin Schill - Vice President of the 快三砍龙 since 2019

Portrait of the member of the Executive Committee - Prof. Dr. Kerstin Schill

Prof. Dr. Kerstin Schill

Education

YearDescription
1993Doctor of Human Biology, Ludwig-Maximilians-Universit盲t M眉nchen
1987Diplom in Computer Science, Technische Universit盲t M眉nchen
1979 - 1987Study of Computer Science, Technische Universit盲t M眉nchen
1977 - 1979Study of Mechanical Engineering, Technische Universit盲t M眉nchen

Research Experience

YearDescription
since 2018Rector of Hanse鈥怶issenschaftskolleg, Delmenhorst聽
(Institute for Advanced Study)
since 2003Professor (W3) of Computer Science, Director of Cognitive Neuroinformatics, University of Bremen
1993听-听2003Postdoc and leader of the "Computational Intelligence" Research Group, Institute of Medical Psychology, Ludwig-Maximilians-Universit盲t M眉nchen
1987 - 2003Research assistant, Institute of Medical Psychology,聽
Ludwig-Maximilians-Universit盲t M眉nchen

Awards/committees/roles

YearDescription
since 2019Vice-President of the Deutsche Forschungsgemeinschaft (快三砍龙, German Research Foundation), e.g. Chair of the Committee of Experts 鈥淣FDI- National Research Data Infrastructure鈥, Chair of the Senate Working Group 鈥淒igital Turn in the Sciences and Humanities鈥
2018听-听2020Member of the 快三砍龙 Expert Commission on the Sciences and Humanities in the Digital Age
since 2017Deputy spokesperson and board member of CRC 鈥淓ASE:聽
Everyday Activity Science and Engineering鈥
2014 - 2018Senator of the 快三砍龙
2013 - 2019Spokesperson for key research area 鈥淢inds, Media, Machines鈥,聽
University of Bremen
2012 - 2018Dean of Faculty of Mathematics and Computer Science,聽
University of Bremen
2012 - 2014Member of 快三砍龙 review board 鈥淐omputer Science鈥
2010 - 2014Board member of CRC/TR8 鈥淪patial Cognition鈥 and spokesperson for the Integrated Research Training Group

Advisory board/board of trustee memberships and selection activities include: Fraunhofer Institute for Digital Medicine MEVIS, Carl-Zeiss-Stiftung, OFFIS, ZDIN (Center for Digital Innovations), Stiftung Bremer Wertpapierb枚rse.

Current third-party-funded projects

YearDescription
2017听-听2025CRC EASE: Everyday Activity Science and Engineering, project H1 (2nd phase): Sensorimotor and Causal Human Activity Models for Cognitive Architectures, project leader, 快三砍龙
2017 - 2025CRC EASE: Everyday Activity Science and Engineering, project H3 (2nd phase): Discriminative and Generative Human Activity Models for Cognitive Architectures, project leader, 快三砍龙
2017-2023VIPE, Neurocomputational Operations in the Periphery of the Visual System, project leader C. Zetzsche, German-American cooperation, NSF/BMBF
2022 - 2025IMAREX-Intelligent Maritime Exploration, consortium management, BMWK
2022 - 2025VAMEX 3- Robust Ground Exploration, consortium management, BMWK
2023 - 2025Safety Control Centre, project, BMWK
2023 - 2026Triple GNC-Guidance, Navigation and Control, project, BMWK

Relevant publications

  • Visual-Inertial Odometry aided by Speed and Steering Angle Measurements (Andreas Serov, Joachim Clemens, Kerstin Schill), in 25th International Conference on Information Fusion (FUSION), IEEE, 2022.
  • Extended Object Tracking on the Affine Group Aff(2) (Lino Antoni Giefer, Joachim Clemens, Kerstin Schill), in 23rd International Conference on Information Fusion (FUSION), IEEE, 2020.
  • Kalman Filter with Moving Reference for Jump-Free, Multi-Sensor Odometry with Application in Autonomous Driving (Joachim Clemens, Constantin Wellhausen, Tom Luca Koller, Udo Frese, Kerstin Schill), in 23rd International Conference on Information Fusion (FUSION), IEEE, 2020.
  • From Human to Robot Everyday Activity (Celeste Mason, Konrad Gadzicki, Moritz Meier, Florian Ahrens, Thorsten Kluss, Jaime Maldonado, Felix Putze, Thorsten Fehr, Christoph Zetzsche, Manfred Herrmann, Kerstin Schill, Tanja Schultz), in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  • Multi-Sensor Fusion and Active Perception for Autonomous Deep Space Navigation (David Nakath, Joachim Clemens, Kerstin Schill), in 21st International Conference on Information Fusion (FUSION), IEEE, 2018.
  • Neural Computation of Statistical Image Properties in Peripheral Vision (Christoph Zetzsche, Ruth Rosenholtz, Noshaba Cheema, Konrad Gadzicki, Lex Fridman, Kerstin Schill), in Computational and Mathematical Models in Vision (MODVIS), 2017.
  • Evidential Object Recognition Based on Information Gain Maximization (Thomas Reineking, Kerstin Schill), in Belief Functions: Theory and Applications, Springer Science + Business Media, 2014.
  • A belief-based architecture for scene analysis: from sensorimotor features to ontological knowledge (Kerstin Schill, Christoph Zetzsche, Johanna Hois), in Fuzzy Sets and Systems, v. 160, 10, 2009.
  • A model of attention and recognition by information maximization (Kerstin Schill), in I. Itti, G.Rees and J. Tsotsos: Encyclopedia of the neurobiology of attention, Academic Press, Elsevier, invited article, 109, 2005.
  • Hybrid architecture for the sensorimotor representation of spatial configurations (Kerstin Schill, Christoph Zetzsche, Johannes Wolter), in Cogn Process, Springer Science + Business Media, volume 7, 2006.