CASTILLO SORIA, FRANCISCO RUBEN
INGENIERÍA · Nivel 1
Desde 2017 es Associate Professor en Autonomous University of San Luis Potosí
Francisco R. Castillo-Soria received his M.Sc. in Telecommunications Engineering from IPN-ESIME, Mexico City, México, in 2004 and his Ph.D. in Electronics and Telecommunications from the CICESE Research Center, Ensenada, Mexico, in 2015. Since 2017, FRCS has been an associate professor...
Francisco R. Castillo-Soria received his M.Sc. in Telecommunications Engineering from IPN-ESIME, Mexico City, México, in 2004 and his Ph.D. in Electronics and Telecommunications from the CICESE Research Center, Ensenada, Mexico, in 2015. Since 2017, FRCS has been an associate professor at the Autonomous University of San Luis Potosí, S.L.P., México. His research interests include RIS-assisted MIMO systems, spatial/index modulation, multiuser detection, and media-based modulation.
| Nombre | FRANCISCO RUBEN CASTILLO SORIA |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA DE TELECOMUNICACIONES |
| Especialidad | TELECOMUNICACIONES |
| CVU | 90924 |
| Institución | |
|---|---|
| Dependencia | FACULTAD DE CIENCIAS |
| Entidad | SAN LUIS POTOSI |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2025 |
| Fin: 31/12/2029 |
Publicaciones ORCID
- 2026
- GPU-Accelerated Deep Learning Algorithms for MIMO Signal Detection Telecom
- Symmetrical User Fairness in Asymmetric Indoor Channels: A Max–Min Framework for Joint Discrete RIS Partitioning and Power Allocation in NOMA Systems Symmetry
- Enhancing FLoRa Simulations: Accurate Radio Channel Modeling and Standard-Compliance Corrections IEEE Access
- 2025
- Neural Network Aided M-PSK Detection in 802.11P V2V OFDM Systems Under ICI Conditions IEEE Wireless Communications Letters
- Audio’s Impact on Deep Learning Models: A Comparative Study of EEG-Based Concentration Detection in VR Games Inventions
- Performance Optimization of Multiple RIS‐Assisted Multiuser MIMO Communication Systems Reconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks
- Performance Analysis of Reconfigurable Intelligent Surface-Assisted Millimeter Wave Massive MIMO System Under 3GPP 5G Channels Information
- Multi-Channel Speech Enhancement Using Labelled Random Finite Sets and a Neural Beamformer in Cocktail Party Scenario Applied Sciences
- Verification of a Probabilistic Model and Optimization in Long-Range Networks Applied Sciences
- Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems Sensors