📡Jose Alejandro Galaviz-Aguilar, Ph.D.
RF Research & Development Engineer
Jose Alejandro Galaviz-Aguilar received his M.Sc. (2013) and Ph.D. (2017) degrees in Digital Systems from the Instituto Politecnico Nacional (IPN-CITEDI) in Tijuana, Mexico. During his doctoral studies, he spent two years (2014–2016) as a Visiting Scholar at the RF Nonlinear Research Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA, where he gained expertise in RF power amplifier characterization and behavioral modeling.
From October 2024 to December 2025, he served as an RF R&D Engineer at Télécom Paris (France), contributing to the Docte6G national project in collaboration with NXP Semiconductors on the development of advanced digital predistortion techniques for millimeter-wave 6G systems. Prior to this, he held a postdoctoral research appointment at Tecnologico de Monterrey (2020–2024), where he led research initiatives on reconfigurable intelligent surfaces, FPGA-based LDPC encoder/decoder architectures, and spectral optimization strategies for 5G massive MIMO systems.
He is recognized as an IEEE Senior Member and holds a Level I distinction in the Mexican National Researchers System (SNII). His research interests encompass RF power amplifier linearization, digital predistortion, NARMA-based behavioral modeling, FPGA-based digital signal processing, and the application of machine learning to nonlinear RF system design.
Skills
Signal processing, PA modeling, DPD algorithms
VHDL, Verilog, SystemVerilog, UVM
NVNA, spectrum analyzers, automated testbeds
Quartus, Xilinx ISE, Keysight ADS, Modelsim
DPD linearization, NARMA, spline modeling
HDL code generation, fixed-point design, hardware verification
15+ journal/conference papers, IEEE reviewer
Experience
- RF R&D Engineer in the Docte6G national project in collaboration with NXP Semiconductors
- Developed digital predistortion (DPD) linearization for millimeter-wave (mmW) 6G systems
- Advanced subband DPD theoretical framework with hardware measurement validation
- Led reconfigurable intelligent surfaces (RIS) platform with AI-driven algorithms for 5G/6G
- Designed FPGA-based AWGN module and LDPC encoder/decoder with UVM verification (SAGE Microelectronics)
- Developed spectral modeling and DPD algorithms for 5G massive MIMO systems
- Advised 3 M.Sc. students and served on Ph.D. thesis committees
- Optimized spectral efficiency in massive MIMO systems for 5G (CONACYT Grant)
- Designed and implemented DPD algorithms from concept through FPGA prototyping
- RF Nonlinear Research Laboratory, Dept. of Electrical and Computer Engineering
- Measurement and behavioral modeling of Chireix PA dynamic efficiencies
- NSF Scholar (2015–2016)