Peter Jung

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Dr.rer.nat.,
http://www.commit.tu-berlin.de,
Technical University Berlin (TUB)
Sekr. HFT 6, 6.Etage
Einsteinufer 25
10587 Berlin
E-post: peter.jung [@] tu-berlin [DOT] de

About me

I received the Dipl.-Phys. in high energy physics in 2000 from Humboldt University, Berlin, Germany, in cooperation with DESY Hamburg. Since 2001 I have been with the Department of Broadband Mobile Communication Networks, Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut (HHI) and since 2004 with Fraunhofer German-Sino Lab for Mobile Communications.

In 2007 I received the Dr.-rer.nat (Ph.D.) degree (on “Weyl–Heisenberg representations in communication theory”) at the Technical University of Berlin (TUB), Germany.

I am a member of the The Communications and Information Theory Group (CommIT) of Prof. Giuseppe Caire.

I was also a visiting professor at TU Munich and associated with the Munich AI Future Lab (AI4EO).

Since 2023 I am with the German Aerospace Center (DLR) leading the “Computational Sensing and AI” group at the DLR Institute for Optical Sensor Systems.

Research

I am working interdisciplinary in signal processing, sensing, information and communication theory, data science and machine learning. My research profile is the interface between data science and its mathematical treatment.

My research interests include :

  • AI approaches for inverse problems in computational sensing (signal processing, imaging and data science)

  • 6G related research (joint sensing and communication, massive MIMO & random access, UWB)

  • Sensor networks, IoT and related data science applications

  • Compressed sensing (CS), low–rank matrix recovery, blind deconvolution

  • Compressive imaging and inverse problem via deep-learning methods (visible, THz, Radar, nondestructive testing)

  • Noncoherent and blind communication, nonorthogonal waveforms

  • Time–frequency analysis, Gabor frame and filterbank theory, doubly-dispersive communication channels

  • Artificial intelligence based methods in earth observation

  • Artificial intelligence based methods in non-destructive testing

Teaching

In last years I gave lectures in compressed sensing and estimation theory.

Technology

I am a cofounder of the MOXZ GmbH - a TU-Berlin spin-off via “EXIST Forschungstransfer”, see moxz.tech

Sites

Full list of publications.
A brief cv