Trustworthy multi-agent AI systems for regulated mining, energy and natural-resource contexts.
Metrics, topics and timeline are generated from OpenAlex. Impact Factors are the 2025 Journal Impact Factor as published on each journal's own page, retrieved August 2026.
A Brazilian researcher, professor and software builder, Vinicius Minatogawa is an Associate Professor at the Pontificia Universidad Católica de Valparaíso (PUCV), Chile. His work focuses on multi-agent AI systems applied to regulated industries — particularly mining and energy — where AI has to operate under real compliance, traceability and accountability constraints.
This builds on more than a decade studying how firms systematically renew their business models in the digital era, now turned toward a concrete question: how to bring reliable AI into high-stakes natural-resource sectors. He publishes across management and engineering venues and works in Portuguese, English and Spanish.
A decade of co-authored research spanning ten countries — anchored in Chile and Brazil, reaching across Europe and East Asia.
Collaboration network derived from OpenAlex co-authorship affiliations.
Applied research and software work bridging academia and industry across the energy and mining sectors.
A Petrobras–Unicamp R&D programme developing replicable methodologies to spin deep techs out of the lab into the energy, oil and gas market. I design and develop the project's database — the data backbone that supports its methodologies and decision-making.
enfuse.com.br →
Chile's national observatory for geological and mining hazards, integrating geoscientific data, artificial intelligence and advanced monitoring to anticipate risk and protect communities. Driven by SERNAGEOMIN with PUCV among its partner institutions.
sernageomin.cl →