News

Marc Deegen, a doctoral candidate in our Communications Engineering group, spent eight weeks of his summer at the 32nd Jelinek Summer Workshop on Speech and Language Technology (JSALT) in Brno in the Czech Republic.The workshop has been organised annually by the Center for Language and Speech Processing at Johns Hopkins University for 30 years. The JSALT brings together teams with team members from all over the world to conduct joint research on…

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KLUG pro­ject at VDI Auto­ma­tion 2025

New products require not only technology, but also expertise: Annika Reich presented a “method for developing digital business models using customer data to increase value” at the VDI Automation 2025 conference. With the help of this method, companies can use key technologies such as augmented reality to generate customer data, for example on maintenance processes, and build an expanded value proposition in the form of customer-specific training…

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"Eth­ics and norm­ativ­ity of ex­plain­able AI"

The sub-project B06 of the SFB/TRR 318 "Constructing Explainability" investigates the normativity of XAI from an ethical and media science perspective. To date, there has been a lack of research into the normativity of XAI, i.e., among other things, an analysis of the question of what XAI is actually supposed to be good for, because explanations are not an end in themselves. The lack of examination of the question of the purposes of XAI is due to…

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f.l.t.r. Prof. Dr. Stefan Sauer, Dr. Caglar Demir, N'Dah Jean Kouagou, Prof. Dr. Axel-Cyrille Ngonga Ngomo, Prof. Dr. Anni-Yasmin Turhan

We con­grat­u­late N'Dah Jean Kou­agou on passing his doc­tor­al ex­am­in­a­tion

N'Dah Jean Kouagou successfully completed her doctorate on the topic of "Fast Neuro-Symbolic Approaches for Class Expression Learning" under the supervision of Prof. Dr. Axel-Cyrille Ngonga Ngomo. Summary of the doctoral dissertation: With the swift progress of current AI systems' capabilities, there is a pressing need for explainable AI methods to understand the behavior of these systems. To this end, class expression learning in description…

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f.l.t.r. Dr Gunnar Schomaker, Prof. Dr Heike Trautmann, Dr Leon Özcan, Prof. Dr Roman Dumitrescu, Prof. Dr habil. Boris Otto, Prof. Dr. Dennis Kundisch

We con­grat­u­late Le­on Özcan on passing his doc­tor­al ex­am­in­a­tion

Leon Özcan successfully completed his doctorate on the topic of "Systematics for the strategic management of digital platforms in B2B markets" under Prof Dr.-Ing. Roman Dumitrescu. Summary of the doctoral dissertation: In the course of digitization, digital platforms are unleashing their full disruptive potential and have led to fundamental changes in B2C markets. Experts expect and are already observing, that digital platforms will continue to…

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Photo (Paderborn University, Thorsten Hennig): Analysing EEG data provides valuable information about activities in the brain.

New tech­no­logy for safe autonom­ous driv­ing: Pre­dict­ing ped­es­tri­an be­ha­viour us­ing AI and avoid­ing ac­ci­dents

Paderborn University research prize awarded A ball rolls onto the road, a child stands on the pavement - drivers' alarm bells immediately ring. The result: they brake because they assume that the child will run onto the road. Drivers are also able to anticipate the behaviour of pedestrians in other potentially dangerous situations. Autonomous vehicles, which will increasingly characterise the streetscape, cannot do this. Although news…

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LeMuR - Learn­ing with mul­tiple rep­res­ent­a­tions

LeMuR is an MSCA (Marie Skłodowska-Curie Actions) Doctoral Network (DN) 2021 on the topic of "Learning with Multiple Representations". The aim of LeMuR is to develop the theoretical foundations and a first set of algorithms for the new paradigm "Learning with Multiple Representations" (LMR). In addition, corresponding applications will be developed to demonstrate the usefulness of the new approaches. In particular, LMR algorithms will enable…

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TraCMAS - Traffic op­tim­isa­tion for autonom­ous and con­ven­tion­al vehicles

High traffic volumes in urban areas are not only a burden for the road users themselves, but also for the residents of the affected areas and the environment. Combating pollutant and noise emissions is a major challenge for local authorities and has also led to drastic measures in the past, such as driving bans. At the same time, road mobility is facing major upheavals due to new technologies. Numerous new cars are already being equipped with…

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EN­EXA - Ef­fi­cient Ex­plain­able Learn­ing on Know­ledge Graphs

Efficient Explainable Learning on Knowledge Graphs (ENEXA) is a European project that develops human-centred, explainable approaches to machine learning for real-world knowledge graphs. Human-centred, transparent and explainable AI systems are key to human-centred and ethical development of digital and industrial solutions. ENEXA builds on novel and promising results in the fields of knowledge representation and machine learning to develop…

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In­ter­im res­ults in Di­gi4­Cir­cu­lar: Con­sor­ti­um meet­ing at Data CoL­AB in Por­tugal

Seven months into the project, time for an interim review: From 13th to 15th May 2025, the Digi4Circular consortium met in beautiful Viana do Castelo in Portugal at project partner Data CoLAB. Who needs what material information at what stage of the product creation process? What must be included in a digital product passport to enable aluminum to be recycled even more effectively? Initial decisions on these questions were made by the project…

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From lec­ture to in­dustry – ex­cur­sion to the Pader­born com­pany GLASS

How can design guidelines be implemented in practice? This question was answered during an excursion to the GLASS company as part of Prof. Dr.-Ing. Iris Gräßler's product creation lecture. Managing Director Karsten Ollesch opened the morning with an inspiring presentation on the food industry and the associated challenges in the engineering and production of industrial mixers. Particular focus was given to guidelines that enable ‘Design for…

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The eighth Stuttgart Symposium for Product Development took place from May 21 – 22, 2025 - and Felix Vollenkemper from the Chair for Product Creation was invited to present Design for Capabilities (DeCap) even three times: in an elevator pitch oriented towards industry, in a poster session and in a scientific presentation on the conference day. With the title “Evolving Design for Assembly, Disassembly and Reassembly into a new paradigm”, the…

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Suc­cess­ful mile­stone of the re­search pro­ject De­cide4ECO

Green light for the milestone! At the halfway point of the project, the Decide4ECO project partners met for the milestone meeting on 25th and 26th June 2025 at PROSTEP in Darmstadt. Manufacturing-X concepts and implemented demonstrators persuaded the research executive agency, represented by Fabian Hammel (VDI Technology Centre). Prof. Dr.-Ing. Iris Grässler's team reported on the reference engineering process, sustainability metrics, and the…

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CREXDATA in­spires users in Fin­land: In­nov­at­ive tech­no­lo­gies for emer­gency man­age­ment tested in prac­tice

Together with the Finish Meteorological Institute and the Finnish Ministry of the Interior, the “Product Creation” workgroup presented the CREXDATA project and demonstrated innovative technologies for the management of critical situations at the Emergency Services Academy in Kuopio, Finland. Developed technologies were presented as part of a practice-oriented hands-on exhibition. End users from the Emergency Service Academy were able to test…

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Res­ults in fo­cus: KLUG net­work meet­ing ad­dresses stra­tegic col­lab­or­a­tion and key tech­no­lo­gies

Pilot studies, a decision-making tool, and a practical guide to legally compliant data and technology management—a whole package of results was presented at the KLUG project's digital consortium meeting. The two planned pilot studies are ready to address key challenges facing digital business models: collaboration between companies and the use of key technologies for services such as predictive maintenance. Project coordinator Prof. Dr.-Ing.…

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