Prof. Dr. rer. nat. habil. Rudolf Kruse
Rudolf Kruse is a Professor of Computer Science. From 1996 -2017 he was the leader of the Computational Intelligence Research Group at the Department of Computer Science of the University of Magdeburg, see http://fuzzy.cs.uni-magdeburg.de. Since 2017 he has the status of an emeritus professor. He is still active in research and teaching.
Rudolf Kruse recently presented CI Methods at Continental (Hannover) and VW Data Lab (Munich)
Rudolf Kruse received the IEEE Fuzzy Systems Pioneer Award and gives a plenary talk at the WCCI’2018 in Rio de Janeiro, Brasil.
Rudolf Kruse attends the ceremony of the BBVA Award as a member of the jury in Madrid, Spain
Rudolf Kruse is participant of a panel about Lotfi Zadeh at the IPMU’2018 conference in Cadiz, Spain
Rudolf Kruse is plenary speaker at the World Congress on Soft Computing in Baku, Aserbaidschan
Rudolf Kruse serves as a member of the jury of "la Caixa" Fellowships in Barcelona, Spain
Rudolf Kruse gives a course on Neuronale Netze (in German) for Bachelor Students in SS 2018, see the lecture page for detailed information.
Rudolf Kruse serves as a member of the advisory board of the journal Fuzzy Sets and Systems.
Rudolf Kruse was reviewer of the dissertation of M.Sc. Wolfgang Doneit, and he attended the defense at the University of Karlsruhe (KIT).
Rudolf Kruse was member of the international jury of the BBVA Foundation Frontiers of Knowledge Awards. The prestigious award in the category Information and Communication Technologies (Price money 400.000 Euro) is given to Goldwasser, Micali, Rivest and Shamir for enabling a secure digital society thanks to modern cryptography
Rudolf Kruse was coorganizer of the workshop on soft-computing at the HICSS'49 at Hawaii.
Rudolf Kruse is an IEEE CIS distinguished lecturer for the period 2018-2020.
Rudolf Kruse has been approved as associate editor for the journals on Fuzzy Sets and Systems, Computer Aided Engineering, Applied Logic, Information sciences, Wiley Interdisciplinary: Reviews on Data Mining and Knowledge Discovery, and Uncertainty, Fuzziness and Knowledge-Based System
R. Kruse is Co-Organizer of the CIES Symposium in Honolulu at the IEEE-SSCI 2017 in Honolulu.
R. Kruse gave an invitational talk at the 27. Workshop on Computational Intelligence, Dortmund entitled “ Decomposable Graphical Models in Industrial Applications”.
T.T. Nguyen, doctorate of R. Kruse, received the best poster award at the IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems in Daegu, Korea
R. Kruse is Co Editor of special issue for the Applied Soft Computing entitled “Applied soft computing for business analytics”.
Prof. Kruse will continue to give lectures on Computational Intelligence for the next two years. In WS 2017/18 he will give a course on Bayes Networks, see the lecture page for more information.He agrees to serve as supervisor (Bachelor, Master, Ph.D.), and to accept offers as consultant in academia and industry.
Rudolf Kruse celebrates his 65 birthday. On this occasion, a festive event and a symposium on the subject of Computational Intelligence took place. See the Colloquium's webpage for schedule, photos, and documents.
In WS 2018/19 Rudolf Kruse gives a course on Bayes Networks, Alexander Dockhorn is responsible for the exercises. See the lecture page for more information.
In SS 2018 Rudolf Kruse gives a course on Neural Networks and Deep Learning, Alexander Dockhorn is responsible for the exercises. See the lecture page for more information.
A. Dockhorn, T. Tippelt, and R. Kruse, Model Decomposition for Forward Model Approximation Alexander. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018 (in print)
T. T. Nguyen, J. Spehr, S. Zug, and R. Kruse, Multisource Fusion for Robust Road DetectionUsing Online Estimated Reliabilities, IEEE Transactions on Industrial Informatic, 2018 (in print)
A. Dockhorn, M. Frick., Ü. Akkaya, R. Kruse, "Predicting Opponent Moves for Improving Hearthstone AI". In: 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, pp. 621–632, 2018
F. Schmidt, J. Gebhardt, R. Kruse „Decomposable Graphical Models on Learning, Fusion and Revision”. In: L.Zadeh, R. Yager, et. al, Recent Developments and the New Direction in Soft-Computing Foundations and Applications, Springer, pp 439-452, 2018.
T. T. Nguyen, J. Spehr, J. Sitzmann, S. Zug, and R. Kruse. Zuverlassigkeitsschatzung und zuverlassigkeitsbasierte Fusion von Ego-Fahrstreifen fur automatisch Fahrfunktionen. In ITS mobility e.V., editor, AAET - Automatisiertes und Vernetztes Fahren, pages 339-355. ITS mobility e.V, Braunschweig, 2018.
T. T. Nguyen, J. Spehr, D. Vock, M. Baum, S. Zug, and R. Kruse. A GeneralReliability-Aware Fusion Concept Using DST and Supervised Learning with ItsApplications in Multi-Source Road Estimation. In 2018 IEEE Intelligent Vehicles Symposium (IV), 2018.
T. T. Nguyen, J. Spehr, J. Sitzmann, M. Baum, S. Zug, and R. Kruse. ImprovingEgo-Lane Detection by Incorporating Source Reliability. In S. Lee, H. Ko,U. D. Hanebeck, F. Sun, and S. Oh, editors, Multisensor Fusion and Integrationin the Wake of Big Data, Deep Learning and Cyber Physical System, volume501 of Lecture notes in electrical engineering. Springer International Publishing,2018.
T. T. Nguyen, J.-O. Perschewski, F. Engel, J. Kruesemann, J. Sitzmann, J.Spehr, S. Zug, and R. Kruse. Reliability-Aware and Robust Multi-Sensor Fusion Towards Ego-Lane Estimation Using Artifcial Neural Networks. In Eloi Bosse and Galina Rogova, editors, Information quality in Information Fusion and decision making. Springer Nature, 2018.
J.-O. Perschewski, T. T. Nguyen, J. Spehr, S. Zug, and R. Kruse. Multi-SourceFusion Using Neural Networks and Genetic Algorithms Towards Ego-Lane Estimation.In S. N. Shahbazov, editor, Proc. of the 7th World Conf. of Soft Computing 2018, page (to appear). Springer, 2018.
A. Dockhorn, C. Doell, M. Hewelt and R. Kruse “A Decision Heuristic for Monte Carlo Tree Search Doppelkopf Agents”. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (2017).
T.Sabsch, C.Braune, A. Dockhorn and R. Kruse “Using a Multiobjective Genetic Algorithm for Curve Approximation”. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 2017.
T. T. Nguyen, J. Spehr, J.-O. Perschewski, F. Engel, S. Zug, and R. Kruse, “Zuverlässigkeitsbasierte Fusion von Fahrstreifeninformationen für Fahrerassistenzfunktionen,” in Proceedings 27. Workshop Computational Intelligence, F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds. Karlsruhe and Karlsruhe: KIT Scientific Publishing, 2017, pp. 33–49.
T. T. Nguyen, J. Spehr, J. Xiong, M. Baum, S. Zug, and R. Kruse, “A Survey of Performance Measures to Evaluate Ego-Lane Estimation and a Novel Sensor-Independent Measure Along with Its Applications,” in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017, pp. 239–246.
T. T. Nguyen, J. Spehr, J. Xiong, M. Baum, S. Zug, and R. Kruse “Online Reliability Assessment and Reliability-Aware Fusion for Ego-Lane Detection Using Influence Diagram and Bayes Filter,” in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017, pp. 7–14.
Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado: Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60: 750-751 (2017)
Alexander Dockhorn, Rudolf Kruse: Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67