Alex Soares Castro, PhD
Alex Soares Castro, PhD
Bioelectrochemical Systems | Artificial Intelligence | Computational Linguistics
São Paulo, Brazil
Researcher in Bioelectrochemical Systems & AI
alex.soares@unesp.br
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ABOUT
Alex Soares Castro is a Brazilian researcher working at the intersection of Bioelectrochemical Systems (BES), Artificial Intelligence, and Computational Linguistics. His work integrates electrochemical experimentation, real-time data acquisition systems, machine learning modeling, and semantic analysis to design intelligent and sustainable technologies.
He completed his PhD in Chemistry focusing on microbial electrochemical systems and conducted research at Johns Hopkins University, developing low-cost catalytic materials and optimizing hydrogen production in microbial electrolysis cells.
His interdisciplinary research explores predictive modeling of bioelectrochemical performance, explainable AI in electrochemical systems, and NLP-driven scientific knowledge extraction.
His long-term vision is to develop intelligent bioelectrochemical platforms capable of self-optimization through machine learning and semantic systems that translate scientific knowledge into actionable engineering solutions.
EDUCATION
Doctoral & Graduate Studies
PhD in Chemistry | University of São Paulo (USP), Brazil
Visiting Researcher |Johns Hopkins University (JHU), USA
MSc in Sciences |University of São Paulo (USP), Brazil
Postgraduate Specializations
Postgraduate Specializations
Postgraduate Specialization in Linguistics
Postgraduate Specialization in Forensic Linguistics
Postgraduate Specialization in English Language Studies
Postgraduate Specialization in Translation Studies
Undergraduate Education
Undergraduate Education
BA in Languages | São Paulo State University (UNESP), Brazil
BA in Chemistry | University of São Paulo (USP), Brazil
RESEARCH INTERESTS
RESEARCH INTERESTS
Bioelectrochemical Systems (MFCs, MECs, MES)
Machine Learning for Electrochemical Modeling
Explainable Artificial Intelligence (XAI)
Natural Language Processing in Scientific Domains
Sustainable Energy Technologies
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