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1. GRK 2624
2. Research
3. Projects
P5: ExpTimeDose-DoE

dependent data (e.g., Schorning et al., 2020). However, in contrast to the dose-response setting, in which the data are usually assumed to be independent, one has to deal with correlated data in the context [...] context of timedependent data. Consequently, the theory developed for independent data cannot be applied in this case. However, optimal designs for exposure time-dose responses or dose-time response models [...] evaluated on real data provided by IfADo. Experiments with a large number of doses, exposure times, and replicates will be performed. The true model can then be precisely estimated on the full data set, and the …
1. MSIND
2. News: 6/21/2023
Erasmus+ Lecturer Mobility or Teaching and Research in Salzburg

Interfaces, conducts research on non-parametric methods and procedures for the analysis of multivariate and high-dimensional data, among other topics. The chairs in Salzburg and Dortmund are already collaborating …
1. AG Kröninger - NWG Delitzsch
2. News: 5/20/2022
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

900 MRI slices, we trained a deep learning-based model to work directly with the complex raw k-space data. Skull stripping performed by HD-BET (Brain Extraction Tool) in the image domain were used as the [...] should be dedicated to discovering additional ways the k-space can be used for innovative image analysis and further workflows. To the paper: arXiv: 2202.09706 Our other publications on the subject of …
1. Physik
2. News: 9/9/2025
New professorship in experimental astroparticle physics

cosmic ray detector. In addition to the theoretical modeling of radio emission and the analysis of experimental data, he is also developing new types of detection hardware in Dortmund. One focus in the coming …
1. APP
2. News: 9/26/2025
New professorship in experimental astroparticle physics

cosmic ray detector. In addition to the theoretical modeling of radio emission and the analysis of experimental data, he is also developing new types of detection hardware in Dortmund. One focus in the coming …
1. HAII
2. Lehre
3. Sommersemester 2026
Human-Centered Machine Learning

red applications. To systematically collect, prepare, and analyze data for ML systems, and to critically reflect on the impact of data quality, bias, and representativeness on model behavior. To train [...] utilized as baselines. Building upon these, neural networks are treated systematically, ranging from data preprocessing, feature engineering, and representation learning to neural network architecture, b [...] among others: Fundamentals of Machine Learning, specifically supervised and unsupervised learning Data Preprocessing, feature engineering, and representation learning Architecture and Functionality of …
1. sfs
2. News: 11/16/2025
Start of the BMFTR-funded joint project “PETRA-AI”

literature analysis, co-creation workshops with those affected and problem-centered interviews with gynecologists will first be conducted to determine needs. Based on this, an app with a data and knowledge [...] Institute of Health at Charité contributes its experience with the interoperable data standard FHIR and the collection of research data. The Social Research Center's subproject is led by sfs-researcher Christine [...] app can greatly improve their individual quality of life. Holistic improvement of women's health The data collected in the app will also be anonymized for scientific studies, given the consent of the users …
1. IPS
2. Research & Consult
3. Research Projects
4. 2026
DAADIE

DAADIE Competence concept for data-driven industrial engineering in Australia Problem definition The Australian industry faces a growing demand for interdisciplinary professionals who combine classical [...] classical engineering methods with data-driven competencies. Despite the increasing industrial level in Sydney, there is currently no master’s program in Industrial Engineering that is practice-oriented and i [...] production planning and control with modern Industry 4.0 methods, artificial intelligence, and industrial data analytics, nor do they adequately address the requirements of global labour markets. Against this …
1. SEAL
2. Team
3. Scientific Staff
4. Dr. Lars Hildebrand
Research projects

Research projects DataPlant - Data fusion in plant phenotyping using the example of Cercospora in sugar beet Duration: 5.2017 - 10.2020 Project partner Dortmund University of Technology - Chair of Computer [...] Solutions GmbH Link to the Federal Agency for Agriculture and Food FIRGAS - Fire brigade infrared gas analysis system Duration: 7.2014 - 6.2017 Project partner Dortmund University of Technology - Chair of Computer [...] Universidad de Malaga, Spain Topy Analytica, Finland RAPCOAT - Rapid, reproducible and accurate analysis techniques for coating systems Duration: 7.2003 - 6.2006 Project partner Technical University - …
1. DAES
2. Lehre
3. Lehrveranstaltungen
4. SS2022
Real-Time Systems and Applications

s Real-Time Calculus Multiprocessor Scheduling Prerequisites A basic background in algorithm analysis, data structures, operating systems, and discrete math will be assumed. Literature Giorgio C. Buttazzo [...] Uniprocessor Scheduling Resource Sharing and Resource Reservation Servers Worst-Case Execution Time Analysis and Compilers Perspectives Real-Time Operating Systems and Programming Languages Real-Time Comm …