Research 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