RDS - Robust Data Science

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Masters Lecture Robust Data Science With Biomedical Applications Begins October 30th

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RDS Group Congratulates Jasin Machkour on Passing his Doctoral Examination

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Joint curATime workshop: T-Rex based high-dimensional Variable Selection with False Discovery Rate Control.

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Picture: Saengsuriya Kanhajorn/EyeEm

Two New Masters Thesis Projects in Biomedical Engineering

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The Robust Data Science Group attended the 5th SLSIP Workshop in Porquerolles!

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Andrea Gargano is Visiting the Robust Data Science Group

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Prof. Arnaud Breloy Visited the Robust Data Science Group.

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Fabian Scheidt Receives Fiancial Grant From emergenCITY

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Picture: Jens Steingässer/TU Darmstadt

LOEWE center emergenCITY receives around 5 million euros in 2024

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Jasin Machkour visited Prof. Palomar at Hong Kong University of Science and Technology

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Research excursion to CERN

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Tanuj Hasija visited the Robust Data Science Group

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Jonas Emrich at EUSIPCO 2023 in Helsinki

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Michael Muma has been elevated to IEEE Senior Member.

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Congratulations to Jonas Emrich!

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Aylin Tastan successfully defends her PhD

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Picture: https://www.sew-eurodrive.de

Taulant Koka receives SEW-Eurodrive Award

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EURASIP Student Committee

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RDS Excursion

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RDS Research Retreat 2023 in Paris

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A warm welcome to our new group member Fabian Scheidt.
Picture: Fotograf: Michael Muma

The Friedrich-Dessauer Prize awarded by VDE Rhein-Main e.V. for outstanding final theses was awarded to Simon Tien for his Master's thesis „Development of High Dimensional Learning Methods for Genome-wide Association Studies“.
A warm welcome to our new group member Sonja Höhn.
Picture: Fotograf: Michael Muma

The Robust Data Science Group is attending the SLSIP Workshop.
Picture: Fotograf: Michael Muma

A warm welcome to our new group member Taulant Koka.
Picture: Fotograf: Michael Muma

A warm welcome to our new group member Jasin Machkour.
Picture: Fotograf: Patrick Bal

The ERC Starting Grant ScReeningData has started.

Welcome to the Robust Data Science Group

We develop new robust data science theory and methods with applications in signal processing and machine learning for biomedicine and engineering.