Ing Iglesias
Scientific Researcher at CONICET
Argentina
Summary
👤
Senior🎓
Top SchoolIng Iglesias is a scientific researcher and electronics engineer with nine years of experience designing and building high-cadence polarimetric instrumentation for solar physics and space weather studies. He blends hands-on expertise in embedded systems and scientific cameras with signal processing, image analysis and machine learning to turn complex observational requirements into operational instruments and data pipelines. His PhD work delivered a novel polarimeter for solar observations, and he has continued developing instrumentation and analysis methods across roles at CONICET, Max-Planck and academic institutions in Argentina. As an educator and collaborator he bridges research and teaching, mentoring students while leading projects in heliofísica and remote sensing. Notably, his background spans from field measurements of non-ionizing radiation to advanced topics like adaptive optics and astrophysical polarimetry, reflecting a rare mix of practical measurement skills and cutting-edge optical instrumentation.
8 years of coding experience
14 years of employment as a software developer
Mechanical Technician, Mechanical Technician at Technical institute ENET N°5Adaptive optics and Interferometry, Adaptive optics and Interferometry at International School on Astronomical Instrumentation in the 21st Century, ESO ChileDr. -Ing Scientific Instrumentation, Dr. -Ing Scientific Instrumentation at Technische Universität BraunschweigDipl.-Ing. Electronics, Dipl.-Ing. Electronics at Universidad Tecnológica Nacional – Facultad Regional Mendoza (UTN-FRM)Astrophysical Polarimetry, Astrophysical Polarimetry at International School on Astrophysical Polarimetry, FranceSolar Physics, Solar Physics at 4th El Leoncito School on Solar Physics
English, Spanish
Github Skills (2)
machine-learning2
php1
Programming languages (2)
Github contributions (5)
franciscoai/2021_cme_expansion_sources
Dec 2021 - Sep 2022
Análisis de correlaciones entre regiones fuentes de CMEs y su morfología
Contributions:11 commits, 31 pushes, 1 branch in 9 months
regiones
franciscoai/2020_gcs_with_ml
Sep 2021 - Sep 2024
GCS fitting using ML
Contributions:6 PRs, 99 pushes, 3 branches in 3 years 1 month
fittinggcsmachine-learning
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