Chair

Browse all posts in the Chair category.

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04JUL 2022
Chair
Visit of Dr. Dana Lahat
Dr. Dana Lahat is Adjunct Assistant Professor at the University of Maryland (Baltimore, USA) and Researcher at the Tel Aviv University (Israel). She works on algebraic methods for data analysis and statistical signal processing. During her stay at the LMS, she will present some of her research results within an EEI colloquium talk.
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01JUL 2022
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LMS News – July 2022
Refreshing news in the hot summer months: We congratulate our colleague Kamal Nambiar for his accepted journal paper entitled “A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions“. It shows that the coverage of ice, clouds, and shadows in data from the Copernicus Sentinel-2 satellite can be […]
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30JUN 2022
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Graduation of Dr.-Ing. Andreas Brendel
We cordially congratulate our esteemed colleague Andreas Brendel, who received his PhD on June 20th, 2022!
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01JUN 2022
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LMS News – June 2022
Deep Learning by LMS – All over the daily news, one can read buzzwords such as “Artificial Intelligence” and “Machine Learning”. At the LMS, we are performing cutting-edge research in this direction with various applications. For example, we are investigating and improving deep convolutional neural networks that target image and video compression. Furthermore, we examine […]
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01MAY 2022
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LMS News – May 2022
More Open Source at the LMS: To globally provide our open-source software, we operate our own Gitlab-server, where a large part of our software products are publicly available. In this month’s news, we would like to draw your attention to PADIS, “Probabilistic Approach to Dynamic Image Sampling”, which dynamically adapts the sampling method to the […]
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13APR 2022
Chair
LMS offers course “Physical Models meet Deep Learning” at Ferienakademie 2022
In the past decade, deep learning (DL) algorithms have gained increasing popularity in many areas of signal processing and communications and managed to solve tasks which were previously considered infeasible. However, classical model-based approaches such as nonnegative matrix factorization, the Kalman filter or the Viterbi algorithm are still of great relevance as they do not […]
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