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Joint curATime workshop:
2024/07/23
T-Rex based high-dimensional Variable Selection with False Discovery Rate Control.
As part of the curATime project, supported by the Cluster4Future initiative of the Federal Ministry of Education and Research, a workshop of the cluster project entitled “T-Rex based high-dimensional Variable Selection with False Discovery Rate Control” took place. It was organized by the research groups for Robust Data Science and Signal Processing at TU Darmstadt in collaboration with the Center for Thrombosis and Hemostasis (CTH) of the University Medical Center Mainz at the University Medical Center Mainz.
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Picture: Saengsuriya Kanhajorn/EyeEmPicture: Saengsuriya Kanhajorn/EyeEm
Two New Masters Thesis Projects in Biomedical Engineering
2024/06/24
Conduct your Masters Project under joint supervision of the Robust Data Science Group and Biophotonics – Biomedical Engineering Group to enhance your skills in machine learning, signal processing, laser spectroscopy, and biomedical engineering.
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The Robust Data Science Group attended the 5th SLSIP Workshop in Porquerolles!
2024/06/20
Statistical Learning for Signal and Image Processing (SLSIP) Workshop in Porquerolles, South of France.
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Prof. Arnaud Breloy Visited the Robust Data Science Group.
2024/02/15
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Andrea Gargano is Visiting the Robust Data Science Group
2024/02/15
“Physiological and Emotional-Annotated Time Series Analysis for Affective Computing and Biomedical Applications“.
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Picture: shutterstockPicture: shutterstock
HiWi Position: Efficient Algorithm Implementation in C++ for Large-scale Biomedical Data
2024/01/10
You are an expert in C++ and interested in biomedical applications? We are offering a Student Assistant (HiWi) position to engage in cutting-edge research that concerns computationally efficient C++ implementations for the analysis of large-scale biomedical data. While small data sets can be processed with python or R, applying advanced statistical machine learning algorithms to large-scale biobanks requires backends or complete implementations in C++. Efficiency is required with regards to algorithmic operations, but also efficient memory handling/memory mapping and online-processing.
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Financial Grant from emergenCITY
2024/01/10
Fabian Scheidt received a short-term financial grant to participate at the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) in Costa Rica.
Thanks to the support of the emergenCity, Fabian Scheidt, a PhD. Student in Electrical Engineering, Signal Processing and Robust Data Science, from TU Darmstadt’s Robust Data Science Group of Prof. Michael Muma received a short-term financial grant to participate and conduct research and collaborate with conference delegates at the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) in Costa Rica, December 2023.
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Picture: Jens Steingässer/TU DarmstadtPicture: Jens Steingässer/TU Darmstadt
LOEWE center emergenCITY receives around 5 million euros in 2024
2024/01/10
State funds research network that aims to make cities more resilient to crises and disasters
Wiesbaden/Darmstadt. The Darmstadt LOEWE center emergenCITY will continue to receive funding from the state of Hesse and will receive a total of around five million euros in project funding for 2024. This was decided by the committees of the state's LOEWE research funding program.
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Jasin Machkour with Prof. Palomar at Hong Kong University of Science and Technology
2023/10/16
Jasin Machkour visited Prof. Palomar at The Hong Kong University of Science and Technology (HKUST) to work on the development of false discovery rate (FDR) controlling methods for dependent variables.
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Research excursion to CERN
2023/10/12
From 28.09.2023 to 01.10.2023, members of the Robust Data Science Group of TU Darmstadt visited the CERN research center in Geneva. The excursion was organized by the Signal Processing Group. Many thanks to our colleagues!
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Picture: shutterstock.comPicture: shutterstock.com
Lecture Robust Data Science With Biomedical Applications
2023/10/09
Masters Lecture Robust Data Science With Biomedical Applications Begins October 18th
The lecture covers fundamental topics and recent developments in robust data science. Unlike classical statistical learning and signal processing, which relies strongly on the normal (Gaussian) distribution, robust methods can tolerate impulsive noise, outliers and artifacts that are frequently encountered in biomedical applications.
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Dr. Tanuj Hasija visited the Robust Data Science Group
2023/10/09
Dr. Tanuj Hasija of the Signal and System Theory Group at Universität Paderborn visited the Robust Data Science Group.
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Jonas Emrich Received Travel Grant from emergenCity
2023/10/05
Jonas Emrich, a Master's Student and Student Research Assistant at the Robust Data Science Group at TU Darmstadt (Germany) received a travel grant to attend the 31st European Signal Processing Conference 2023 (EUSICPO) held in Helsinki, Finland.
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Michael Muma has been elevated to IEEE Senior Member.
2023/08/23