Alexandra Gallyas-Sanhueza


PhD student at Cornell University.


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I am a third-year Ph.D. student at Cornell University. I work with Professor Christoph Studer, who is an Associate Professor at ETH Zurich and a Visiting Associate professor at Cornell University. My research is on baseband algorithms for beyond 5G multi-antenna wireless communication systems. More broadly, I am interested in applying statistical signal processing techniques to model signals corrupted by noise and hardware impairments, and exploiting such models in order to design computationally-efficient algorithms that estimate the signals of interest.


  1. S. H. Mirfarshbafan, A. Gallyas-Sanhueza, R. Ghods and C. Studer, “Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design,” in IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2020.3023023.

  2. A. Gallyas-Sanhueza, S. H. Mirfarshbafan, R. Ghods and C. Studer, “Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems,” 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, GA, USA, 2020, pp. 1-5, doi: 10.1109/SPAWC48557.2020.9154213.

  3. R. Ghods, A. Gallyas-Sanhueza, S. H. Mirfarshbafan and C. Studer, “BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond,” 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019, pp. 1-5, doi: 10.1109/SPAWC.2019.8815576.

  4. O. Castañeda, M. Bobbett, A. Gallyas-Sanhueza and C. Studer, “PPAC: A Versatile In-Memory Accelerator for Matrix-Vector-Product-Like Operations,” 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP), New York, NY, USA, 2019, pp. 149-156, doi: 10.1109/ASAP.2019.000-9.

  5. C. Alessandri, D. Guzman, A. Abusleme, D. Avila, E. Alvarez, H. Campillo, A. Gallyas-Sanhueza, C. Oberli, and M. Guarini. “Theoretical framework and simulation results for implementing weighted multiple sampling in scientific CCDs.” arXiv preprint arXiv:1510.09105 (2015).


  1. C. Studer, R. Ghods, S. H. Mirfarshbafan and A. Gallyas-Sanhueza, Cornell University, 2020. Circuit and method for enabling channel denoising in a wireless communication apparatus. U.S. Patent 10,608,686.