SynSense

  1. “Spiking Neural Networks for Low-Power Real-Time Inference,” Applied Machine Learning Days (AMLD) Workshop, EPFL, Lausanne, Switzerland, Mar. 2022.


CSEM

  1. “MIMOSI for vital signs monitoring: Achievable performance and theoretical challenges,” CSEM, Neuchˆatel, Switzerland, Jan. 2021.

  2. “MIMOSI for Presence detection and people counting: Theoretical challenges and novel clustering-based methodology,” CSEM, Neuchatel, Switzerland, Jul. 2020.

  3. “Generic MIMO Sensor Imager (MIMOSI): Theoretical Study, Options, and Recommendations,” CSEM, Neuchatel, Switzerland, May 2020.


CommIT, TU Berlin

  1. “Massive MIMO: Signal Structure, Efficient Processing, and Open Problems,” Workshop on Compressed Sensing in Information Processing (CoSIP), TU Berlin, Berlin, Germany, Dec. 7-9, 2016.

  2. “Compressed Sensing Techniques for Efficient Massive-MIMO Signal Processing,” Workshop on Compressed Sensing in Information Processing (CoSIP), Aachen, Germany, Jul. 4-5, 2016.

  3. “Enhancing the Estimation of mmWave Large Array Channels by Exploiting Spatio-Temporal Correlation and Sparse Scattering,” Workshop on Smart Antennas (WSA), Munich, Germany, Mar. 7-9, 2016.