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Academic Vita:
Academic Vita:
Short biography: Received the Master of Science degree in 2013 and the Doctor of Science degree in Digital Systems in 2017, respectively, both from the Instituto Politécnico Nacional research center (IPN-CITEDI) located in Tijuana, B.C. México. He is a formerly visiting scientist in the RF Nonlinear Research Laboratory of the Electrical and Computer Engineering department, Caldwell Laboratory at The Ohio State University (OSU) in Columbus, Ohio, USA (From 2014 to 2016). He is a IEEE Senior Member and a member of the Mexican National System of Researchers (SNI) Level I.
Research Interests:
Research Interests:
Major Field: Electrical and Computer Engineering – with focus areas research of interests including: Modeling of RF/Microwave communication systems, FPGA digital circuit design, Digital signal processing for wireless transmission systems, Device characterization, measurements, modeling, and linearization of nonlinear RF devices and circuits for behavioral modeling such as; GaN HEMTs Power Amplifiers, mixers, high-efficient outphasing systems. System-level digital predistortion linearization of single and multi-band RF Power Amplifiers, Power/efficiency characterization, Power Amplifiers measurements and modeling.
PhD thesis title: Measurement and Behavioral Modeling of Dynamic Efficiencies and Linearization of an LTE-A Chireix PA. December/2017.
Master's thesis title: FPGA-Based Design and Implementation of a Digital Predistortion Module for RF Power Amplifiers Linearization. June/2013.
Recent News:
Recent News:
January 2025
Manuscript: “FPGA-Based Lock-In Amplifier System with Signal Enhancement: A Comprehensive Review on the Design for Advanced Measurement Applications. Sensors 2025, 25, 584, has been accepted for publication in the journal MDPI Sensors, DOI: https://doi.org/10.3390/s25020584
June 2024
Manuscript: “Reliable Methodology to FPGA Design Verification and Noise Analysis for Digital Lock-In Amplifiers” has been accepted for publication in the journal IEEE Embedded Systems Letters. DOI: https://doi.org/10.1109/LES.2024.3415651
March 2023
Chapter: “Power amplifier modeling comparison for highly and sparse nonlinear behavior based on regression tree, random forest, and CNN for wideband systems” has been accepted to be considered in the upcoming book edited by CRC Press, Machine Learning for Complex and Unmanned Systems. ISBN: 9781032472249
September 2022
Manuscript: “A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data” has been accepted for publication in the journal MDPI Sensors. DOI: https://doi.org/10.3390/s22197461
7 June 2022
A talk was given in the electronics department seminar on “Digital signal processing techniques for linear and efficient solutions applied to emerging wireless communication systems” at Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Tonantzintla, Puebla, MX.
January 2022
January 2022
Paper: “Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest” has been accepted in the IEEE International Symposium on Circuits and Systems (ISCAS) 2022, Austin TX, USA. DOI: 10.1109/ISCAS48785.2022.9937863
Manuscript: “A Crest Factor Reduction Technique for LTE Signals with Target Relaxation in Power Amplifier Linearization” has been accepted for publication in the journal MDPI Sensors. DOI: https://doi.org/10.3390/s22031176
January 2022
Acknowledgment as Reviewer by Electronics Editorial Office of MDPI Electronics in 2021. DOI: https://doi.org/10.3390/electronics11030407
9 June 2021
A talk was given in the electronics department seminar on “Sistemas de Linealización y su Impacto en las Transmisiones de RF” at Tecnológico Nacional de México / Instituto Tecnológico de Tijuana, Tijuana, B.C., MX.
28 May2021
Scientific divulgation article: “La optimización de las telecomunicaciones móviles” in TECSCIENCE daily publication by Instituto Tecnológico y de Estudios Superiores de Monterrey (Monterrey Institute of Technology and Higher Education), All Rights Reserved to use the title TecScience under Certificate No. 04-2023-011613551100-203.
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Experience:
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