R&D S&E Electrical Engineer Senior Member Of Technical Staff at Sandia National Laboratories
Albuquerque, New Mexico, United States
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Miguel Aparicio is a senior R&D electrical engineer and Senior Member of Technical Staff at Sandia National Laboratories with 12 years of experience applying machine learning and signal processing to power systems protection. He holds dual master’s degrees from Georgia Tech and Comillas ICAI-ICADE and blends deep academic training with hands-on HIL testing of ultra-fast fault location and classification algorithms. His work spans PyTorch, wavelet/time-frequency analysis, traveling-wave methods, and graph neural networks to tackle distribution-level protection challenges. Prior roles in automotive startups and industrial engineering exposed him to data-driven quality improvements and embedded computer vision, giving him a practical product-oriented perspective alongside research rigor. Based in Albuquerque, he’s known for translating advanced theory into deployable systems under realistic hardware constraints.
12 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Georgia Institute of Technology
Master's Degree in Industrial Engineering, Electromechanical Engineering, Master's Degree in Industrial Engineering, Electromechanical Engineering at Universidad Pontificia Comillas ICAI-ICADE
Contributions:1 comment, 1 issue in 1 year 9 months
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Miguel Aparicio - R&D S&E Electrical Engineer Senior Member Of Technical Staff at Sandia National Laboratories