Intelligent Systems

News

news

2021

September, 1st: Ghassan al Falouji from the Technical University of Regensburg  joins our team. In his dissertation, he is working on the FördeAreal project (initially called "CAPTin Kiel"): The development of an integrated inner-city mobility chain of autonomous clean transport modes on water and on land with water-land interfaces for public transport with water-land interfaces for public transport.
 

August, 18th: The KickOff event for the Master Seminar "Deep Learning" will take place on Thursday, September 23, 2021 at 2 p.m. as a zoom call. There, the seminar schedule will be explained and topics will be assigned. In preparation for the topic assignment, the starting papers for the individual topics are available. If you are interested in the event, already want to reserve a place or have any questions, please contact Prof. Tomforde directly.


August, 18th: At the Workshop on Self-Aware Computing (SeAC 2021) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021, Sept 27 - Oct 01, 2021 in Washington DC, USA and virtual), two papers from the research group have been accepted:
Goller, Martin; Tomforde, Sven: “Assessment of Configuration Stability and Variability in Collections of Self-Adaptive Systems”. In: Proceedings of IEEE ACSOS 2021 Companion, SeAC Workshop
Stein, Anthony; Tomforde, Sven: “Reactive Learning Classifier Systems for Self-Adaptive and Self-Organising Agents”. In: Proceedings of IEEE ACSOS 2021 Companion, SeAC Workshop
 

August, 18th: At the Workshop on Self-Improving System Integration (SISSY 2021) at the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021, Sept. 27 - Oct. 01, 2021 in Washington DC, USA and virtual), three papers from the working group have been accepted:
Gruhl, Christian; Tomforde, Sven: “OHODIN – Online Anomaly Detection for Data Streams”. In: Proceedings of IEEE ACSOS 2021 Companion, SISSY Workshop
Esterle, Lukas; Gomes, Claudio; Frasheri, Mirgita; Ejersbo, Henrik; Tomforde, Sven; Gorm Larsen, Peter: „Digital Twins for Collaboration and Self-Integration“. In: Proceedings of IEEE ACSOS 2021 Companion, SISSY Workshop
Al-Falouji, Ghassan; Gruhl, Christian; Tomforde, Sven: “Digital Shadows in Self-Improving System Integration: A Concept Using Generative Modelling”. In: Proceedings of IEEE ACSOS 2021 Companion, SISSY Workshop


August, 17th: 19th International Conference on Dependable, Autonomic and Secure Computing (DASC 2021)
Sven Tomforde and Martin Goller: Beyond Homeostasis: A Novel Approach for Assessing the Stability and Coherence of Self-Adaptive Systems


August, 16th: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW):
Michael Meyer, Georg Kuschk and Sven Tomforde: "Graph Convolutional Networks for 3D Object Detection on Radar Data"


July, 2nd: The course for Intelligent Systems will not take place in the winter semester 2021/22, but again in the winter semester 2022/23.
 

June, 15th: Kick-off meeting for the Master Project Intelligent Systems will take place on July, 13th 2021 at 2pm via this zoom link
 

June, 10-11.: The Ninth International “Organic Computing Doctoral Dissertation Colloquium” (OC-DDC) will take place in Oldenburg, Germany. The OC-DDC is organised by the Special Interest Group on Organic Computing (speakers: Anthony Stein, Universität Hohenheim and Sven Tomforde, Christian-Albrechts-Universität zu Kiel) within the Gesellschaft für Informatik and is co-organised by Prof. Astrid Nieße from the Offis / University of Oldenburg.

Paper by Simon Reichhuber "Evolution of machine learning algorithms in a marketplace-oriented environment" presents new concepts for learning in a marketplace-oriented environment. In detail, an environmental pressure of markets evolves more appropriate individuals that solves tasks and finds strategies to estimate the market value of the solvers.

The paper "Feature Assessment for Traffic Incidents in Urban Road Networks" by Ingo Thomsen proposes a systematical assessment of temporally and spatially varying incidents in simulated urban road networks in regards to their identifiying features. This is a essential prerequisite for the incident-based traffic management capabilities of the InTURN project.
 

May, 31th: Publication: Martin Goller; Sven Tomforde: "On the Stability of (Self-)Adaptive Behaviour in Continuously Changing Environments: A Quantification Approach." Elsevier Journal of Future Generation Computing Systems. DOI


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 .

 

2020

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.

 

2019

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