Prof. Dr. Mauro Augusto da Rosa | INESC P&D Brasil | Brazil
Mauro Augusto da Rosa is a distinguished electrical engineer, researcher, and professor specializing in power systems planning, renewable energy, and artificial intelligence applications. He holds a Ph.D. in Electrical Engineering from the University of Porto, Portugal, with a research placement at KTH Sweden. Throughout his career, he has worked as a Senior Researcher at INESC TEC, a Professor at PUCRS and UFSC, and an Executive Director at INESC P&D Brazil. His research focuses on energy distribution systems, automation, and reliability, with significant contributions to technological innovations in electrical energy storage and AI-driven power system optimization.
Professional Profile:
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Suitability for Best Innovation Award
Dr. Mauro Augusto da Rosa is a highly deserving candidate for the Best Innovation Award due to his groundbreaking contributions to power systems planning, renewable energy, and AI-driven energy optimization. His work has led to technological advancements in energy distribution, automation, and storage, playing a crucial role in shaping the future of sustainable and intelligent power systems.
Education & Experience ๐๐ผ
๐น Ph.D. in Electrical & Computer Engineering โ University of Porto, Portugal (2010)
๐น Master’s in Electrical Engineering โ PUCRS, Brazil (2003)
๐น Specialization in Distribution Systems Planning โ Mackenzie University, Brazil (2002)
๐น B.Sc. in Electrical Engineering โ PUCRS, Brazil (1998)
๐ธ Professor โ Federal University of Santa Catarina, UFSC (2013โPresent)
๐ธ Executive Director โ INESC P&D Brazil (2023โPresent)
๐ธ Director of Science & Technology โ INESC P&D Brazil (2012โ2023)
๐ธ Senior Researcher โ INESC TEC, Portugal (2010โ2012)
๐ธ Visiting Professor โ University of Porto, Portugal (2010โ2012)
๐ธ Visiting Researcher โ KTH Sweden (2008)
๐ธ Assistant Professor โ PUCRS, Brazil (2000โ2009)
๐ธ Engineer (Distribution Systems Planning) โ Rio Grande Energia, Brazil (1999โ2003)
Professional Development ๐๐ก
Mauro Augusto da Rosa has played a pivotal role in advancing electrical engineering, power systems, and energy distribution. As a professor and researcher at UFSC, he educates the next generation of engineers while leading cutting-edge research projects. His tenure at INESC P&D Brazil includes spearheading technological advancements in energy storage, grid reliability, and AI applications for power systems. His expertise in renewable energy integration and intelligent power systems has led to impactful projects such as NAATEC (energy storage) and FASTEN Vita (pandemic response technology). His commitment to innovation, sustainability, and AI-driven solutions continues to shape the future of energy systems.
Research Focus ๐ฌโก
Mauroโs research centers on power system reliability, renewable energy integration, and AI-driven solutions for energy distribution and automation. His work leverages intelligent agents and evolutionary computing to enhance power system resilience and predictive analytics. He actively explores new energy storage technologies, such as vanadium and iron-sulfur flow batteries, to mitigate renewable energy intermittency. Additionally, he has led projects that use distributed manufacturing technologies for energy and healthcare applications. His expertise in automation, AI, and control systems contributes to the development of smarter, more sustainable power grids that improve efficiency and energy security.
Awards & Honors ๐๐๏ธ
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Ph.D. Fellowship โ University of Porto & KTH Sweden
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Recognition for Research Contributions โ INESC TEC, Portugal
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Executive Leadership Award โ INESC P&D Brazil
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Best Paper Awards โ Various international power system conferences
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Research Grant Award โ Brazilian National Research Council (CNPq)
Publication Top Notes:
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๐ Improving power system reliability calculation efficiency with EPSO variants โ V Miranda, L de Magalhaes Carvalho, MA Da Rosa, AML Da Silva, ย ๐ Cited by: 113
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๐ Probabilistic evaluation of reserve requirements of generating systems with renewable power sources: The Portuguese and Spanish cases โ M Matos, JP Lopes, M Rosa, R Ferreira, AL da Silva, W Sales, L Resende, ๐ Cited by: 105
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๐ Distributed energy resources impact on distribution system reliability under load transfer restrictions โ AML da Silva, LC Nascimento, MA da Rosa, D Issicaba, JAP Lopes ๐ Cited by: 83
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๐ Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation โ RS Maciel, M Rosa, V Miranda, A Padilha-Feltrin ๐ Cited by: 78
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๐ Adequacy and security evaluation of distribution systems with distributed generation โ D Issicaba, JAP Lopes, MA da Rosa ๐ Cited by: 59