Alexandra Gallyas-Sanhueza

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Research Scientist, IBM Research.

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I am a Research Scientist at the IBM T. J. Watson Research Center.

My research interests include signal processing, efficient algorithms, hardware accelerators, machine learning and statistics, wireless communication systems, and wireless sensing.

EDUCATION

Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Cornell University, Ithaca, NY.
Aug 2018 – Dec 2023
Thesis: Denoising Sparse Wireless Channels in Multi-Antenna Communication Systems.
Ph.D. Advisor: Professor Christoph Studer.

Master of Science (M.Sc.), Electrical and Computer Engineering, Cornell University, Ithaca, NY.
Aug 2018 – Dec 2021

Bachelor of Science (B.S.), Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Mar 2009 – Apr 2015
5.5-year program. Maximum Distinction. GPA: A+. Ranking: top 6.5%.

PUBLICATIONS

  1. A. Gallyas-Sanhueza, S. Garcia Sanchez, A. Paidimarri, A. Tzadok, B. Sadhu and A. Valdes-Garcia, “Angle of Arrival Estimation within One OFDM Symbol Leveraging Agile Beamforming,” IEEE International Symposium on Phased Array Systems and Technology (ARRAY), Oct. 2024.

  2. A. Paidimarri, A. Tzadok, S. Garcia Sanchez, A. Kludze, A. Gallyas-Sanhueza, and A. Valdes-Garcia, “Eye-Beam: A mm-wave 5G-compliant platform for integrated communications and sensing enabling AI-based object recognition,” IEEE Journal on Selected Areas in Communications (JSAC), Jun. 2024.

  3. A. Gallyas-Sanhueza, G. Marti, V. Palhares, R. Wiesmayr, and C. Studer, “LoFi user scheduling for multiuser MIMO wireless systems,” *ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024, (* indicates equal contribution).

  4. A. Gallyas-Sanhueza, “Denoising sparse wireless channels in multi-antenna communication systems,” PhD thesis, Cornell University, Dec. 2023.

  5. A. Gallyas-Sanhueza and C. Studer, “Low-complexity blind parameter estimation in wireless systems with noisy sparse signals,” IEEE Transactions on Wireless Communications, Feb. 2023.

  6. Y. Dai, M. E. Rasekh, S. H. Mirfarshbafan, H. Liew, A. Gallyas-Sanhueza, J. Dunn, U. Madhow, C. Studer, and B. Nikolic, “An adaptable and scalable generator of distributed massive MIMO baseband processing systems,” Springer Journal of Signal Processing Systems, May 2022.

  7. Y. Dai, H. Liew, M. E. Rasekh, S. H. Mirfarshbafan, A. Gallyas-Sanhueza, J. Dunn, U. Madhow, C. Studer, and B. Nikolic, “A scalable generator for massive MIMO baseband processing systems with beamspace channel estimation,” IEEE International Workshop on Signal Processing Systems (SiPS), Oct. 2021.

  8. E. Gönültaş*, S. Taner*, A. Gallyas-Sanhueza, S. H. Mirfarshbafan, and C. Studer, “Hardware-aware beamspace precoding for all-digital mmWave massive MU-MIMO,” IEEE Communications Letters, Aug. 2021.

  9. A. Gallyas-Sanhueza and C. Studer, “Blind SNR estimation and nonparametric channel denoising in multi-antenna mmWave systems,” IEEE International Conference on Communications (ICC), Jun. 2021.

  10. S. H. Mirfarshbafan, A. Gallyas-Sanhueza, R. Ghods and C. Studer, “Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), Sep. 2020.

  11. A. Gallyas-Sanhueza, S. H. Mirfarshbafan, R. Ghods and C. Studer, “Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), May. 2020.

  12. O. Castañeda, M. Bobbett, A. Gallyas-Sanhueza and C. Studer, “PPAC: A Versatile In-Memory Accelerator for Matrix-Vector-Product-Like Operations,” IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Jul. 2019,

  13. R. Ghods, A. Gallyas-Sanhueza, S. H. Mirfarshbafan and C. Studer, “BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jul. 2019.

  14. 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.” Scientific Detectors Workshop, Oct. 2013.

PATENTS

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