Peter Jung

alt text 

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. Currently I am working under own DFG grants at TUB in the field of signal processing and information and communication theory. I am a member of the The Communications and Information Theory Group (CommIT) of Prof. Giuseppe Caire. I am also a visiting professor at TU Munich and associated with the Munich AI Future Lab (AI4EO).


I am working in communication theory, signal processing and information theory. My research profile is the interface between applied math and telecommunication engineering. My research interests include :

  • deep learning approaches for inverse problems in signal processing, imaging and data science

  • 5G (6G) related research (new air interface, mmWave, 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

  • Multiuser MIMO beamforming and feedback methods

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


I give lectures in compressed sensing and estimation theory.



Full list of publications.
A brief cv