G. Bongiovì
Papers
1
Total Citations
6
H-Index
1
About
G. Bongiovì is a researcher whose work lies at the intersection of nuclear fusion engineering and advanced decision-making methodologies. Their primary research areas include the design and maintenance of fusion reactor components, with a particular focus on the EU DEMO project, and the application of fuzzy logic and multi-criteria decision support tools to complex engineering challenges. Bongiovì’s most notable contribution is the development of a novel fuzzy-based decision support tool for concept selection, applied to the automated inspection and maintenance test unit for the EU DEMO. This work, published in 2019 and cited 6 times, provides a systematic, transparent framework for evaluating and selecting optimal engineering designs under uncertainty—a critical need for next-generation fusion reactors. By integrating fuzzy set theory with engineering requirements, Bongiovì has helped advance the reliability and safety of remote maintenance systems in extreme environments. Their research bridges the gap between theoretical decision science and practical fusion engineering, offering a replicable methodology that can be adapted to other large-scale infrastructure projects. Bongiovì’s work is particularly valuable for students and researchers interested in the intersection of operations research, fuzzy systems, and sustainable energy technologies.
Research Focus
Key Achievements
Top Papers
- 1