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1. CNI
2. News: 3/16/2012
Solving Pinball Routing, Race Condition and Loop Formation Issues in Nested Mobile Networks

standard NEMO solution does not specify any Route Optimization mechanism, as a result of which the data is always exchanged over a bi-directional tunnel maintained between the MNet and its respective Home [...] packets imposes several performance issues that gets compounded for nested Mobile Networks, where data packets will be tunneled/detunneled multiple times undergoing repeated levels of encapsulations/d [...] phenomena, and to avoid loop formation and race condition between contending Mobile Routers. View on ScienceDirect …
1. AI
2. News: 11/18/2022
TMLR: One paper accepted!

magnitude-only measurements. In many real-world applications the problem is underdetermined. When training data is available, generative models allow optimization in a lower-dimensional latent space, hereby co [...] (ILO) to extend the range of the generator while still producing images consistent with the training data. Second, we introduce new initialization schemes that further improve the quality of the reconstruction [...] .net/forum?id=YAVE6jfeJb A short version of this work was also presented at the NeurIPS 2022 AI4Science workshop . …
1. Agile PAIR
2. News: 6/2/2026
Call for Contributions: Hackathon on Interpretable Machine Learning for Longitudinal and Clustered Data

st study and in-person hackathon on Interpretable Machine Learning for Longitudinal and Clustered Data , hosted by the interdisciplinary research center Agile Prevention and Intervention Research (Agile [...] TU Dortmund University. The initiative addresses a growing challenge in the social and behavioral sciences: modern datasets often contain complex dependencies, such as repeated measurements over time or [...] in developing and comparing interpretable machine learning approaches suitable for such dependent data structures. The goal is to evaluate different methods through a coordinated multi-analyst study and …
1. Agile PAIR
2. News: 6/2/2026
Call for Contributions: Hackathon on Interpretable Machine Learning for Longitudinal and Clustered Data

st study and in-person hackathon on Interpretable Machine Learning for Longitudinal and Clustered Data , hosted by the interdisciplinary research center Agile Prevention and Intervention Research (Agile [...] TU Dortmund University. The initiative addresses a growing challenge in the social and behavioral sciences: modern datasets often contain complex dependencies, such as repeated measurements over time or [...] in developing and comparing interpretable machine learning approaches suitable for such dependent data structures. The goal is to evaluate different methods through a coordinated multi-analyst study and …
1. Computer Science
2. News: 5/13/2026
Felix Finkeldey achieves 3rd place at the Forum Junge Spitzenforschung 2026

0 Felix Finkeldey from the Department of Computer Science has won 3rd place at the Forum Junge Spitzenforschung 2026 with his LEAP project. The project is dedicated to a central challenge of industrial [...] robust and efficient. Industrial AI applications often face the challenge that large amounts of labeled data are required and models are difficult to transfer to new machines, tools and environments. LEAP addresses [...] self-supervised learning and active learning approaches. This should reduce the effort required for data annotation and speed up the commissioning of new systems. In addition, "ChatterCoach" is being developed …
1. Computer Science
2. News: 8/12/2025
Researcher receives Young Academy funding

specialized, data-driven expert models and to interpret their results in an understandable way using Explainable AI and Large Language Models. In preliminary investigations, experimental data on tool deflections [...] 0 The Department of Computer Science at TU Dortmund University is delighted to announce the successful funding of an outstanding young scientist by the TU Dortmund Young Academy. Dr. Felix Finkeldey has …
1. Smart City Science
2. Research
3. Research Topics
Research on Geometric Deep Learning

are also researching the compression of data structures for which expressivity should be maintained or increased. We look forward to welcoming computer science students interested in these exciting research [...] deep learning is a sub-discipline of machine learning that deals with the processing and analysis of data that is available in a geometric structure. These structures can be diverse, from 2D images and 3D [...] Efficient processing: Another central research area of our group is the efficient processing of arbitrary data structures for the use of expressive models in resource-constrained systems. Here we are concerned …
1. Lamarr Institut
Home

At TU Dortmund University, Lamarr is embedded in the Department of Computer Science and connected to a wide range of data-driven and computational research across disciplines. The Dortmund location c [...] announcements 01/26/2026 From Physics Data to Structured Knowledge with LLMs A new interdisciplinary project explores how large language models can turn complex physics data into structured, reusable knowledge …
1. Fakultät Sowi
2. Department
3. Committees and Representatives
Complaint Management

Complaint Management The Department of Social Sciences has set up its own complaints management. All students can contact us in confidence with their problems, suggestions or proposals for improvement [...] . We will handle every complaint carefully and discreetly while respecting data protection. beschwerdemanagement.fk17 tu-dortmund de If a complaint is not handled to your satisfaction, the Central Complaints …
1. Fakultät Sowi
2. News: 1/5/2022
Judith Kaschowitz receives TU Dissertation Award 2021!

Judith Kaschowitz receives the Dissertation Award 2021 of TU Dortmund for the Department of Social Sciences. In her doctoral thesis on "Informal care as health risk? The role of household, migration and country [...] examines whether informal caregiving is associated with negative health consequences based on data of the Survey of Health, Ageing and Retirement in Europe (SHARE ) and the English Longitudinal Study …