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TU Dortmund

Research Profile

Colorful spectral rings. © Roland Baege​/​TU Dortmund

Research is at the forefront of the AI Ecosystem at TU Dortmund University. Our faculty and researchers are dedicated to pushing the boundaries of AI knowledge and exploring new frontiers. From fundamental research on Deep Learning architectures to investigating the ethical implications of AI, our multidisciplinary approach encompasses a wide range of research areas. We actively collaborate with industry partners and other academic institutions to foster knowledge exchange and leverage resources for impactful research outcomes. Through our research endeavors, we aim to advance the understanding of AI, develop innovative algorithms and methodologies, and contribute to the global AI community.

Scientists

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Our scientists are distinguished researchers, thought leaders, and innovators who continually push the boundaries of AI knowledge and its practical applications. With diverse backgrounds and specializations, they bring a wealth of experience and insights into their interdisciplinary collaboration. Their collective expertise spans areas such as Machine Learning, Philosophy, Statistics, Data Science and many more. Through their groundbreaking research, they not only advance the frontiers of AI but also mentor and inspire the next generation of AI enthusiasts and professionals. Their dedication, collaborative spirit, and pursuit of excellence make them instrumental in shaping the AI landscape within and beyond TU Dortmund University.

A list of AI & ML scientists at TU Dortmund can be found here.

Partners

Green and white flags with the inscription “TU 50 years“ © Martina Hengesbach​/​TU Dortmund

The AI Ecosystem at TU Dortmund University is strengthened by valuable partnerships with esteemed institutions such as the Fraunhofer Institute for Material Flow and Logistics (Fraunhofer IML) and the Max Planck Institute for Security and Privacy (MPI-SP). Our partnerships bring together the expertise and resources of leading research organizations to drive collaborative AI initiatives. Through working with them, we leverage collective strengths, foster interdisciplinary collaborations, and address critical challenges at the intersection of AI, Logistics, security, privacy and in work contexts.