Intelligent Systems




April, 1st: M.Sc. Torben Schnuchel from the University of Passau joins our team for research exchange. In his PhD he works on methods to enable machine learning on devices with limited compute resources. During his stay at the chair, he will investigate techniques for smart data collection in crowdsourcing scenarios.

April, 1st: CAPTN "Förde Areal": Intelligent Systems group is involved in a Kiel research project to develop an autonomous ferry that receives millions in funding from the Federal Ministry of Transport.

April, 1st: Kick-off meeting for the lecture Autonomous Learning will take place on April 20th 2021 via this zoom link. The details for participation as well as for all subsequent dates will be discussed in this event.

March, 23th:  "Transforming the Energy System" - a new series of publications with research work has been published by the Gesellschaft für Energie und Klimaschutz  Schleswig-Holstein (EKSH), in which the "Intelligent Systems" group is also involved with a project.

March, 10th: Master Project "Intelligent Systems" in summer term 2021: "Collaborative classification with Turtle Bots". For more information see Teaching.

February, 23th: Publication of the editorial for the special issue on "Self-Improving System Integration" in the Elsevier Future Generation Computing Systems Journal

February, 8th: Paper accepted for the 7th International Conference on Vehicle Technology and Intelligent Transport Systems
Hamann, Heiko; Schwarzat, Julian; Thomsen, Ingo; and Tomforde, Sven: “A self-organising system combining self-adaptive traffic control and urban platooning – A concept for autonomous driving“. In: Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, held April 28-20, 2021, INSTICC, to appear.
Thomsen, Ingo; Zapfe, Yannick; and Tomforde, Sven: “Urban Traffic Incident Detection for Organic Traffic Control: A Density-Based Clustering Approach”. In: Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, held April 28-30, 2021, INSTICC, to appear.


January, 12t: Open Positions:
We are looking for two doctoral students in the context of machine learning (full position at TV-L 13), specific: 1) in the field of self-learning adaptive communication and 2) learning based on digital twins in the field of autonomous ferries. If you are interested, please contact Prof. Tomforde .



December, 1st: Impressions from current teaching activities: Competion of creating Julia sets as part of exercise of Computational Intelligence lecture

November, 26th: Publication: Kirstie Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Evangelos Pournaras, Anthony Stein, Sven Tomforde. Corresponding Author: Sven Tomforde (CAU Kiel): "Self-improving system integration: Mastering continuous change".  Elsevier Future Generation Computer Systems. DOI

November, 13th: Paper accepted for the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021)
Colin Clausen, Simon Reichhuber, Ingo Thomsen, Sven Tomforde: "Improvements to Increase the Efficiency of the AlphaZero Algorithm - A Case Study in the Game Connect 4"
Simon Reichhuber, Sven Tomforde: "Bet-based Evolutionary Algorithms - Self-improving Dynamics in Offspring Generation" (Poster)

September, 3rd: Preliminary meeting for the master's project on Thursday, October 1st, 2020 at 3 p.m. via this link

August, 3rd: Publication: Gruhl, Christian; Tomforde, Sven; and Sick, Bernhard: “Novelty Detection in Continuously Changing Environments”. In: Elsevier Journal of Future Generation Computing Systems, Special Issue on "Self-integration: Mastering Continuous Change". Read this article

July, 8th: Paper accepted for the 6th Workshop on Self-Aware Computing (SEAC 2020):
Goller, Martin; Tomforde, Sven: “Towards a Continuous Assessment of Stability in (Self-)Adaptation behaviour”. In: Proceedings of the 1st IEEE International Conference on Au-tonomic Computing and Self-Organising Systems Workshops (ACSOS-W)

Tomforde, Sven; Gruhl, Christian, and Sick, Bernhard: “A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System behaviour”. In: Proceedings of the 1st IEEE International Conference on Autonomic Computing and Self-Organising Systems Workshops (ACSOS-W)

More information about  the ACSOS 2020 conference

July, 3rd: Paper accepted for the workshop "Lifelike Computing Systems - 8th Edition in the Evolution of the Series of Autonomously Learning and Optimising Systems (SAOS)", co-hosted by ALIFE 2020 conference:
Kirstie L. Bellman, Sven Tomforde: "Lifelike Systems Need Some Kind of a Skin: First Thoughts on Cyberskin Capabilities"


July, 1st:  Papers accepted for the 7th International Workshop on Self-Improving Systems Integration (SISSY20) at the 1st International IEEE Conference on Autonomic Computing and Self-Organising Systems (ACSOS20):

Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick: „Normal-Wishart Clustering for Novelty Detection“.

Simon Reichhuber, Sven Tomforde: “Opportunistic Meta-Learning: A Case Study for Quality Assurance in Industry 4.0 Environments”.

Sven Tomforde and Christian Gruhl: “Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-Adaptive and Self-Organsing Systems?”.

Simon Reichhuber, "Opportunistic Knowledge Adaptation in Self-Learning Systems". ACSOS20 Doctoral Symposium


May, 13th: Gesellschaft für Energie und Klimaschutz Schleswig-Holstein (EKSH) funds prestudy - Together with the Distributed Systems group (Prof. Landsiedel) and the Process Analytics group (Prof. Koschmieder), we received funding for an EKSH-Prestudy: "Digitalisierung der Energiewende auf der Quartiersebene - Vernetzung, Datenanalyse, Data Mining".


May 11th: Publication: Meyer, Michael; Kuschk, Georg; and Tomforde, Sven: „Complex-Valued Convolutional Neural Networks for Automotive Scene Classification Based on Range-Beam-Doppler Tensors“. In: The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), held September 20-23, 2020 in Rhodes, Greece.


March 18th: Publication: Tomforde, Sven; and Goller, Martin: "To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation". In: Computers 2020, 9(1), 21. For more information click here


February 12th: We published our concepts of self-awareness for opportunistic meta learning at the "Self-Awareness in Cyber-Physical Systems" (SelPhyS).
The conference is going to take place at the University of California - Irvine on April 16-17th, 2020.

January 31th: Inaugural lecture by  Prof. Tomforde


January 1st: Dipl.-Ing Ingo Thomsen strengthens the team as PhD Student. In the context of the project "InTurn" he works on the detection and evaluation of incidents in urban traffic flow. Using autonomous learning mechanisms the performance and resilience of the Organic Traffic Control system are increased.



November 15th: Claudia Seewald strengthens the team as secretary.


October 10th: Approval of the DFG project "Zwischenfall-bewusstes resilientes Verkehrsmanagement für urbane Straßennetze (InTurn)"


September 30th: Publication: Rudolph, Stefan; Tomforde, Sven; and Hähner, Jörg: „Mutual Influence-Aware Runtime Learning of Self-Adaptation Behaviour“. In: ACM Transactions on Autonomous Adaptive Systems (TAAS), 14(1), 2019, pp. 4:1 – 4:37.


September 1th: M.Sc. Simon Reichhuber strengthens the team. As part of his doctorate, he works in the Intelligent Systems group on opportunistic learning. Potentially available learning sources are evaluated at runtime and integrated into the learning process.


August 1th: PD Dr.-lng. Sven Tomforde, formerly Faculty of Computer Science and Mathematics, Chair for Intelligent Systems at the University of Passau, took over the Chair for Intelligent Systems. For more information, click here