Portrait of Vinicius Minatogawa
Associate Professor · PUCV, Chile

Vinicius
Minatogawa

Trustworthy multi-agent AI systems for regulated mining, energy and natural-resource contexts.

Research Output

Production, impact and source status.

OpenAlex: API pending
ORCID: 0000-0002-7441-7242
Last sync: placeholder
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Publications
OpenAlex pending
835
Citations
Scholar baseline
13
h-index
Scholar baseline
14
i10-index
Scholar baseline
Production by year / OpenAlex placeholder
2019
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2020
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2021
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2022
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2023
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2024
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2025
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2026
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Research themes
Multi-agent AI systems Trustworthy AI Digital transformation Big data analytics Machine learning Compliance and traceability Mining and energy
Selected papers / high-impact journals
Navigating the tailings data maze: A design science approach to developing a public sector entrepreneurship compass for mining SMEs
Technovation · 2026 · DOI 10.1016/j.technovation.2026.103513
IF 12.0 Innovation management
2026
Technovation
Symmetry-Enhanced AI and GIS Framework Using Open Data for Simplified Physical Stability Assessment of Tailings Storage Facilities in Chile
IEEE J-STARS · 2026 · DOI 10.1109/JSTARS.2026.3715431
IF 6.3 Open Access
2026
IEEE J-STARS
An adaptive fuzzy-penalty swarm metaheuristic for the multi-demand multidimensional knapsack problem
Applied Soft Computing · 2026 · DOI 10.1016/j.asoc.2026.115946
IF 7.8 Metaheuristics
2026
ASOC
Simplified Physical Stability Assessment of Chilean Mine Waste Storage Facilities Using GIS and AI: Application in the Antofagasta Region
IEEE Access · 2025 · DOI 10.1109/access.2025.3530856
IF 4.2 Tailings & remote sensing
2025
IEEE Access
Blacksmith's house, wooden knives: why legacy firms struggle with the digital transformation of their business models
Review of Managerial Science · 2025 · DOI 10.1007/s11846-025-00848-3
IF 11.4 Digital transformation
2025
RMSC
Exploring digital transformation capability via a blended perspective of dynamic capabilities and digital maturity
Review of Managerial Science · 2024 · DOI 10.1007/s11846-023-00692-3
IF 11.4 Dynamic capabilities
2024
RMSC
Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions
Automation in Construction · 2022 · DOI 10.1016/j.autcon.2022.104532
IF 12.6 Construction 4.0
2022
AIC

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.

About

Building AI systems that organizations can actually trust.

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.

Research Network

Research in the world.

A decade of co-authored research spanning ten countries — anchored in Chile and Brazil, reaching across Europe and East Asia.

countries
works · citations
World map of research-collaboration countries, with each country sized by number of co-authored works
Co-authored works 1 → 89

Collaboration network derived from OpenAlex co-authorship affiliations.

Current Work

Current research projects.

Applied research and software work bridging academia and industry across the energy and mining sectors.