G. Eappen et al., "Neuromorphic Models for Energy-Efficient Onboard Interference Detection in Satellite Systems," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2025.3608092.
G. Fontanesi et al., "Artificial Intelligence for Satellite Communication: A Survey," in IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2025.3534617, 2025.
E. Lagunas et al., "Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications," in IEEE Wireless Communications, vol. 31, no. 6, pp. 78-84, December 2024, doi: 10.1109/MWC.016.2300560.
F. Ortiz, N. Skatchkovsky, E. Lagunas, W. A. Martins, G. Eappen, S. Daoud, "Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing," IEEE Transactions on Machine Learning in Communications and Networking, 2024.
Saifaldawla, F. Ortiz, E. Lagunas, A. B. M. Adam, S. Chatzinotas, "GenAI-Based Models for NGSO Satellites Interference Detection," IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 904-924, 2024.
J. A. Vásquez-Peralvo, J. Querol, F. Ortiz, J.L. Gonzalez, E. Lagunas, L.M. Garces, J. Merlano, M. Mandoza, Symeon Chatzinotas, "Multibeam Beamforming for Direct Radiating Arrays in Satellite Communications Using Genetic Algorithm," in IEEE Open Journal of the Communications Society, vol. 5, pp. 2343-2357, 2024.
V. Monzon Baeza, F. Ortiz, E. Lagunas, T. S. Abdu and S. Chatzinotas, "Gateway Station Geographical Planning for Emerging Non-Geostationary Satellites Constellations," in IEEE Network, vol. 38, no. 4, pp. 158-165, July 2024.
F. Ortiz, V. Monzon Baeza, L. M. Garces-Socarras, J. A. Vásquez-Peralvo, "Onboard Processing in Satellite Communications Using AI Accelerators," Aerospace, vol. 10, no. 2, p. 101, 2023.
M. Jalali, F. Ortiz, E. Lagunas, S. Kisseleff, L. Emiliani and S. Chatzinotas, "Joint Power and Tilt Control in Satellite Constellation for NGSO-GSO Interference Mitigation," in IEEE Open Journal of Vehicular Technology, vol. 4, pp. 545-557, 2023.
J. A. Vásquez-Peralvo, J. Querol, F. Ortiz, J.L. Gonzalez, E. Lagunas, L.M. Garces, J. Merlano, M. Mandoza, Symeon Chatzinotas., "Flexible Beamforming for Direct Radiating Arrays in Satellite Communications," in IEEE Access, vol. 11, pp. 79684-79696, 2023.
F. G. Ortiz-Gomez, L. Lei, E. Lagunas, R. Martinez, D. Tarchi, J. Querol, "Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems," Electronics, vol. 11, no. 7, p. 992, 2022.
V. Monzon Baeza, F. Ortiz, S. Herrero Garcia, E. Lagunas, "Enhanced Communications on Satellite-Based IoT Systems to Support Maritime Transportation Services," Sensors, vol. 22, no. 17, p. 6450, 2022.
Cornejo, S. Landeros-Ayala, J. M. Matias, F. Ortiz-Gomez, R. Martinez, "Method of Rain Attenuation Prediction Based on Long–Short Term Memory Network," Neural Processing Letters, vol. 54, no. 4, pp. 2959-2995, 2022.
F. G. Ortiz-Gomez, D. Tarchi, R. Martinez, A. Vanelli-Coralli, "Supervised Machine Learning for Power and Bandwidth Management in Very High Throughput Satellite Systems," International Journal of Satellite Communications and Networking, vol. 40, no. 6, pp. 392-407, 2022.
F. G. Ortiz-Gomez, D. Tarchi, R. Martínez, A. Vanelli-Coralli, M. A. Salas-Natera, "Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems," IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 1, pp. 335-349, 2021.
F. G. Ortiz-Gomez, M. A. Salas-Natera, R. Martínez, S. Landeros-Ayala, "Optimization in VHTS Satellite System Design with Irregular Beam Coverage for Non-Uniform Traffic Distribution," Remote Sensing, vol. 13, no. 13, p. 2642, 2021.
F. G. Ortiz-Gomez, D. Tarchi, R. Martínez, A. Vanelli-Coralli, M. A. Salas-Natera, "Convolutional Neural Networks for Flexible Payload Management in VHTS Systems," IEEE Systems Journal, vol. 15, no. 3, pp. 4675-4686, 2020.
F. G. Ortiz-Gomez, R. Martinez, M. A. Salas-Natera, "Forward Link Optimization for the Design of VHTS Satellite Networks," Electronics, vol. 9, no. 3, p. 473, 2020.
J. M. Matías, F. G. Ortiz, M. A. Hernández, C. H. López, U. Gil, "Laboratory Tests of ATSC M/H Commercial Receivers Performance on SFN Networks," IEEE Latin America Transactions, vol. 18, no. 10, pp. 1752-1759, 2020.
O. Auedi, et al. "Hybrid Model-Aided Learning for 5G-NTN Handover in High-Mobility Platforms" 2025 IEEE International Conference on Computer Communications (INFOCOM),
F. Ortiz, et. al., "Gen-AI for Radio Resource Management in Multi-Orbit 5G-NTN Systems", 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN).
A. Zorkun, et. al., "Optimizing Antenna Activation for Even Power Distribution in mm-Wave Multi-Beam Satellite Systems Using Genetic Algorithm", in “Proc. 2025 19th European Conf. Antennas Propagation (EuCAP)”, Accepted.
J. A. Vásquez-Peralvo, J. Querol, E. Lagunas, F. Ortiz, L. M. Garcés-Socarrás, "Genetic Algorithm-Based Beamforming in Subarray Architectures for Geo Satellites," in “Proc. 2024 18th European Conf. Antennas Propagation (EuCAP)”, pp. 1-5, 2024.
F. Ortiz et al., "Supervised Learning Based Real-Time Adaptive Beamforming On-Board Multibeam Satellites," 2024 18th European Conference on Antennas and Propagation (EuCAP), Glasgow, United Kingdom, 2024, pp. 1-5.
W. Alves-Martins, E. Lagunas, N. Skatchkovsky, F. Ortiz, G. Eappen, O. Simeone, Bipin, S. Chatzinotas, "Satellite Adaptive Onboard Beamforming Using Neuromorphic Processors." IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, Washington, United States, 2024.
S. Almoatssimbillah, F. Ortiz, E. Lagunas, S. Chatzinotas "Convolutional Autoencoders for Non-Geostationary Satellite Interference Detection." IEEE International Conference on Communications (IEEE ICC), 2024.
M. Oliveira, F. Ortiz, J. Querol, E. Lagunas, J. Vasquez, V. Monzon Baez, S. Chatzinotas, B. Ottersten, "Flexible Payload Configuration for Satellites using Machine Learning." IEEE International Conference on Machine Learning for Communication and Networking. 2024.
F. Ortiz, et al., "Harnessing Supervised Learning for Adaptive Beamforming in Multibeam Satellite Systems." 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). 2024.
P. Honnaiah, F. Ortiz, E. Lagunas, S. Chatzinotas, “Feed-forward neural networks to overcome complex precoding matrix calculation in GEO broadband satellite communication systems,” 40th International Communications Satellite Systems Conference (ICSSC 2023), 2023 p. 112 – 116.
A. Saifaldawla, F. G. Ortiz-Gomez, E. Lagunas, S. Daoud and S. Chatzinotas, "NGSO-To-GSO Satellite Interference Detection Based on Autoencoder," 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 2023, pp. 1-7.
V. M. Baeza, F. Ortiz, E. Lagunas, T. S. Abdu and S. Chatzinotas, "Multi-Criteria Ground Segment Dimensioning for Non-Geostationary Satellite Constellations," 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Gothenburg, Sweden, 2023, pp. 252-257.
M. Jalali, F. G. Ortiz-Gomez, E. Lagunas, S. Kisseleff, L. Emiliani, S. Chatzinotas, "Radio Regulation Compliance of NGSO Constellations’ Interference towards GSO Ground Stations," in “Proc. 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)”, 2022.
F. Ortiz, E. Lagunas, S. Chatzinotas, "Unsupervised Learning for User Scheduling in Multibeam Precoded GEO Satellite Systems," in “Proc. 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)”, pp. 1-6, 2022.
F. Ortiz et al., "Towards the application of neuromorphic computing to satellite communications," 39th International Communications Satellite Systems Conference (ICSSC 2022), Stresa, Italy, 2022, pp. 91-97.
D. de la Torre, F. Ortiz, M. Salas-Natera, R. Martinez, "Analysis of the traffic demand on very high throughput satellite for 5G,” Simposio Nacional de la Union Cientifica Internacional de Radio, URSI. Vol. 9. 2020.
F. G. Ortiz-Gomez, D. Tarchi, R. M. Rodriguez-Osorio, A. Vanelli-Coralli, M. A. Salas-Natera and S. Landeros-Ayala, "Supervised Machine Learning for Power and Bandwidth Management in VHTS Systems," 2020 10th Advanced Satellite Multimedia Systems Conference and the 16th Signal Processing for Space Communications Workshop (ASMS/SPSC), Graz, Austria, 2020, pp. 1-7.
F. G. Ortiz-Gomez, R. Martínez, M. A. Salas-Natera, S. Landeros-Ayala, D. Tarchi and A. Vanelli-Coralli, "On the use of neural networks for flexible payload management in VHTS systems", Proc. 25th Ka Broadband Commun. Conf., pp. 1-10, Oct. 2019.
F. Ortiz-Gomez, R. Martínez, M. Salas-Natera and S. Landeros-Ayala, "On the use of machine learning for flexible payload management in VHTS systems", Proc. 70th Int. Astronautical Congr., pp. 1-6, Oct. 2019.
F. G. Ortiz-Gomez, et al. "Coverage optimization for the preliminary design of multibeam satellite systems using regular and irregular beams,“ Simposio Nacional de la Union Cientifica Internacional de Radio, URSI. Vol. 8, 2019.
[1] L. M. Garces, A. Nik, F. Ortiz, et al, "Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets." arXiv preprint arXiv:2405.18297, 2024.
[2] Abe, Yuma, F. Ortiz, et al. "Optimizing Satellite Network Infrastructure: A Joint Approach to Gateway Placement and Routing." arXiv preprint arXiv:2405.01149, 2024.
[3] F. Ortiz, et al. "Emerging NGSO Constellations: Spectral Coexistence with GSO Satellite Communication Systems." arXiv preprint arXiv:2404.12651, 2024.
[4] E. Lagunas, F. Ortiz, et al. "Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications." arXiv preprint arXiv:2401.06911, 2024.
[5] G. Fontanesi, F. Ortiz, et al. "Artificial intelligence for satellite communication and non-terrestrial networks: A survey." arXiv preprint arXiv:2304.13008, 2023.
[1] Speaker: Flor Ortiz, "AI & Machine Learning for Satellite Communications", SnT Partnership Day, 2023, access.
[2] Speaker: Flor Ortiz, “Tecnologías Emergentes en Comunicaciones por Satélite: Oportunidades y Desafíos (Emerging Technologies in Satellite Communications: Opportunities and Challenges)”, Simposio de Física, Matemáticas e ingeniería 2023 de la Red Global de Mx Capitulo España, access.
[3] Speaker: Flor Ortiz, “El impacto ambiental de la IA y la computación del futuro: Cuántica, Neuromórfica y Biológica (Environmental Impact of AI and Future Computing: Quantum, Neuromorphic and Biological)”, Talk for Universidad Politécnica del Bicentenario for the Robotics Engineering Faculty, 2023, acccess.
[4] Speaker: Flor Ortiz, “Pasado, presente y futuro de la Inteligencia artificial (Past, Present and Future of Artificial Intelligence)”, Red Global Mx Capitulo España, 2022, access.
[1] NeuroSat Workshop: Neuromorphic Processors in SatCom systems, 2022.
[1] Flor Ortiz, “El impacto ambiental de la IA y la computación del future (The environmental impact of AI and computing the future),” MILENIO, 2023, access.
[2] Flor Ortiz, “Reduciendo la huella de carbono de la Inteligencia Artificial con la Computación Neuromórfica (Reducing the carbon footprint of Artificial Intelligence with Neuromorphic Computing),” REVOLUCION 3.0, 2023, access.