News

At the IEEE IV 2025 in Romania, our research group was represented with 13 accepted papers. In addition, Ahmed Abouelazm won the Best Paper Award with his contribution "TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility".

On March 1, 2024, the KIT Center for Mobility Systems and the Energy Lab at Campus North received an official visit from Dr. Volker Wissing, Federal Minister for Digital Affairs and Transport, and Members of the Bundestag Michael Theurer and Parsa Marvi.

Am Tag der offenen Tür und beim Campustag am KIT haben wir unsere Forschungsgruppe zahlreichen kleinen und großen Besucher*innen vorgestellt. In unseren Institutsräumen präsentierten wir verschiedene Systeme und Roboter, die in Forschung und Lehre bei uns zum Einsatz kommen. Darüber hinaus beteiligten wir uns an der Wissensrallye sowie am „Weg der Nachhaltigkeit“ und freuten uns über spannende Gespräche mit interessierten Gästen.

A robot that helps children cross the street safely? What sounds like science fiction has become reality in Bratislava – with significant involvement from KIT. 

On September 22, 2024, the workshop takes place in conjunction with the 16th International Conference on Automotive User Interfaces. This workshop deals with the rise of micromobility services and Cooperative Intelligent Transport Systems (C-ITS) as a potential solution to problems like regulations, standardization and road safety.

The ISE group is one of the organizers of the International Semantic Web Research Summer School (ISWS) 2024.

The article “S/MIME verstehen in 5 Minuten - Entwicklung und Evaluation eines Erklärvideos" (Understanding S/MIME in 5 minutes - Development and evaluation of an explanatory video) by Fabian Lucas Ballreich and Melanie Volkamer has been accepted for publication in the journal Datenschutz und Datensicherheit (DuD). The article examines the development of an explanatory video on the topic of S/MIME as well as the subsequent evaluation with experts in the field of information security. The article will appear in issue 3 of DuD.

How can artificial intelligence make our work live easier? These and other questions about the interaction between humans and AI will be explored during the “Mensch x KI” knowledge week from March 17 to 21. Exciting events will take place at the Triangel from Tuesday through Saturday. The “Wir forschen digital” citizen panel is also participating in the “Mensch x KI” knowledge week! If you are curious about how a scientific study works, stop by on Wednesday starting at 2:30 p.m. or on Saturday between 1 and 4 p.m. to take part in our “Wir forschen digital on Tour” study on QR code phishing. Just like emails or text messages, QR codes can also be used for phishing by directing users to a different website than expected. Test our QR code scanner and decide whether the links are phishing attempts or legitimate addresses. In addition to other exciting AI demonstrations, our Security Teaching and Awareness Robot STAR will also be in action. We look forward to meeting with everyone who is interested! 

[March 6-9th, 2026]- Our Ph.D. student, Atieh Khodadadi, participated in the 14th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2026) in Marbella, Spain, where she presented our latest work, titled “MDPNML: A Multidimensional Petri Net Markup Language Enabling Construction and Simulation of Comprehensive Digital Twin Models.” The work highlights our ongoing research on advanced modeling approaches for the construction and simulation of comprehensive Digital Twin models.

You can read the full paper on ResearchGate.

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[January 30, 2026] - We are pleased to share that the paper titled “Data-driven artificial intelligence applications for tyre-road-noise prediction and road condition monitoring: A review and future directions” by Postdoc Dr. Mustafa Demetgül and Prof. Sanja Lazarova-Molnar, which focuses on data-driven artificial intelligence approaches, has been published in the journal Measurement (Elsevier – ScienceDirect). This publication was produced as part of the Tyre Road Noise (TyRoN) Project, which focuses on data-driven approaches for tyre–road noise prediction and road condition monitoring, drawing on signal processing, machine learning, and intelligent sensing. It highlights key AI approaches, data requirements, and future research directions in acoustic AI and smart mobility.

Link to the article

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