Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite, State University of Campinas, Brazil

๐ŸŽ“ Nathalia Hidalgo Leite is a Ph.D. candidate in Energy Systems Planning at the State University of Campinas (Unicamp) ๐Ÿ‡ง๐Ÿ‡ท, focusing on electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, and a B.S. in Agronomic Engineering from UFSCar ๐ŸŒฑ. As a researcher at CPTEn and CPFL Energy, and an instructor at Unicamp, she has contributed significantly to energy systems planning and education. Her international academic experience includes programs in Portugal ๐Ÿ‡ต๐Ÿ‡น, Denmark ๐Ÿ‡ฉ๐Ÿ‡ฐ, Spain ๐Ÿ‡ช๐Ÿ‡ธ, Italy ๐Ÿ‡ฎ๐Ÿ‡น, and the USA ๐Ÿ‡บ๐Ÿ‡ธ. Nathalia’s research interests span the economic and financial viability of energy systems, artificial neural networks, and renewable energy integration ๐ŸŒž. Proficient in Portuguese, English, and Spanish, she holds numerous certifications in finance and technical skills ๐Ÿ“Š. Her achievements are recognized by multiple academic and extracurricular awards, underscoring her dedication and multifaceted talents ๐ŸŒŸ.

๐ŸŒ Professional Profile:

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๐ŸŽ“ Educational Background

Nathalia Hidalgo Leite is currently pursuing a Ph.D. in Energy Systems Planning at the State University of Campinas (Unicamp) ๐Ÿ‡ง๐Ÿ‡ท, focusing on the economic and financial viability for electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, where she studied the economic viability of photovoltaic solar energy. Nathalia completed her B.S. in Agronomic Engineering at the Federal University of Sao Carlos (UFSCar), researching artificial neural networks applied to Asian soybean rust ๐ŸŒฑ.

๐Ÿข Professional Experience

Nathalia is an accomplished researcher and instructor. At Unicamp, she has taught courses in computer algorithms, programming, numerical calculation, and discrete mathematics. As a researcher at the Sao Paulo Center for Energy Transition Studies (CPTEn) and previously at CPFL Energy, she has made significant contributions to energy systems planning. Nathalia also worked as a Financial Planning and Analysis Specialist at Grupo JLJ and interned at Ecomark Indรบstria e Comรฉrcio de Fertilizantes Especiais Ltda ๐ŸŒŸ.

๐ŸŒ International Experience

Nathalia has enriched her academic journey with several exchange programs. She spent six months at the University of Lisbon ๐Ÿ‡ต๐Ÿ‡น and the University of Southern Denmark ๐Ÿ‡ฉ๐Ÿ‡ฐ, three months at Universitat Politรจcnica de Valรจncia ๐Ÿ‡ช๐Ÿ‡ธ, one month at Universitร  degli Studi di Roma La Sapienza ๐Ÿ‡ฎ๐Ÿ‡น, and also attended Beverly Hills High School ๐Ÿ‡บ๐Ÿ‡ธ and Moore Elementary School in Colorado ๐Ÿ‡บ๐Ÿ‡ธ during her earlier education ๐Ÿ“š.

๐Ÿ“ Research Interests

Nathalia’s research interests include the economic and financial viability of energy systems, artificial neural networks, and the integration of renewable energy sources. She is particularly focused on interdisciplinary approaches to solving complex problems in energy planning and sustainability ๐ŸŒž.

๐ŸŒ Certifications and Skills

Nathalia holds numerous certifications in finance, photovoltaic systems, scientific writing, and programming. She is proficient in Portuguese (native), English (fluent), and Spanish (advanced). Her technical skills and continuous learning make her a versatile and knowledgeable professional in her field ๐Ÿ“Š.

๐Ÿ† Awards and Recognitions

Nathalia has received several awards for academic and extracurricular excellence, including the Excellence in Academic Performance award from Anglo Middle School ๐Ÿ‡ง๐Ÿ‡ท and multiple accolades from Lincoln Junior High School ๐Ÿ‡บ๐Ÿ‡ธ for academic achievement, athletic performance, and leadership. These recognitions highlight her dedication and multifaceted talents ๐ŸŒŸ.

Publication Top Notes:

1. ย Artificial Neural Networks Applied to Plant Disease
2. ย Study of Asian Soybean Rust