P. Padilla, A. M. Gómez, J. M. Mateos, C. García, and C. Benítez, "Señales Digitales", ISBN 8417628940, 2019.
J. M. Mateos-Ramos, C. Häger, M. F. Keskin, L. L. Magoarou, and H. Wymeersch, "Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments", IEEE Transaction on Wireless Communications, vol. 24, no. 3, pp. 2574-2589, Mar. 2025.
V. Shatov, S. Schieler, C. Muth, J. M. Mateos-Ramos, I. Bizon, F. Euchner, S. Semper, S. t. Brink, G. Fettweis, C. Häger, H. Wymeersch, L. Schmalen, R. Thomä, N. Franchi, "Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective", under revision.
H. Farhadi, B. Banerjee, R. Berkvens, N. N. Bhat, E. Bodji, D. Dampahalage, E. Eldeeb, J. Famaey, G. P. Fettweis, J. Jeong, D. Korpi, S. Kumar, Y. Lebrun, R. Legouable, J. M. Mateos-Ramos, N. H. Mahmood, M. H. Moghaddam, A. Nimr, N. Rajatheva, N. Rajapaksha, A. Stavridis, T. Svensson, H. Yu, L. Wilhelmsson, H. Wymeersch, "6G AI-driven air interface—Hexa-X-II view", IEEE Communications Magazine, vol. 63, no. 10, Oct. 2025.
S. Rivetti, J. M. Mateos-Ramos, Y. Wu, J. Song, M. F. Keskin, V. Yajnanarayana, and H. Wymeersch, "Spatial signal design for positioning via end-to-end learning", IEEE Wireless Communications Letters, vol. 12, no. 3, pp. 525-529, Mar. 2023.
J. M. Mateos-Ramos, C. Häger, M. F. Keskin, L. L. Magoarou, and H. Wymeersch, "Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems", IEEE ICASSP, 2025.
J. M. Mateos-Ramos, B. Chatelier, C. Häger, M. F. Keskin, L. L. Magoarou, and H. Wymeersch, "Semi-supervised end-to-end learning for integrated sensing and communications", IEEE ICMLCN, 2024.
J. M. Mateos-Ramos, C. Häger, M. F. Keskin, L. L. Magoarou, and H. Wymeersch, "Model-driven end-to-end learning for integrated sensing and communication", IEEE ICC, 2023.
J. M. Mateos-Ramos, J. Song, Y. Wu, C. Häger, M. F. Keskin, V. Yajnanarayana, and H. Wymeersch, "End-to-end learning for integrated sensing and communication", IEEE ICC, 2022.
J. M. Mateos-Ramos, D. Castillo-Barnes, D. Salas-Gonzalez, J. Ramírez, J. M. Górriz, "Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis." IEEE NSS/MIC, 2020.
M. C. Ilter, M. F. Keskin, J. M. Mateos-Ramos, C. Häger, M. Valkama, H. Wymeersch, "End-to-End Learning for RIS Profile Design and Channel Parameter Estimation under Pixel Failures", IEEE VTC, Spring 2025.
B. Chatelier, J. M. Mateos-Ramos, V. Corlay, M. Crussiere, C. Häger, L. L. Magoarou, and H. Wymeersch, "Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays", IEEE ICC, 2025.
Henk Wymeersch, Sharief Saleh, Ahmad Nimr, Rreze Halili, Rafael Berkvens, Mohammad H Moghaddam, José Miguel Mateos-Ramos, Athanasios Stavridis, Stefan Wänstedt, Sokratis Barmpounakis, Basuki Priyanto, Martin Beale, Jaap Van De Beek, Zi Ye, Marvin Manalastas, Apostolos Kousaridas, and Gerhard P Fettweis, "Joint communication and sensing for 6g-a cross-layer perspective", IEEE JC&S 2024.
"D4.2 - Radio design and spectrum access requirements and key enablers for 6G evolution" Hexa-X-II deliverable, 2023.
"D3.3 - Final models and measurements for localisation and sensing" Hexa-X deliverable, 2023.