Jim Duggan

Ollscoil na Gaillimhe – University of Galway

Papers

Total Citations

H-Index

About

Jim Duggan is a researcher whose work bridges computational intelligence and environmental sustainability, with a primary focus on watershed management and neuroevolutionary algorithms. His most notable contribution, "Watershed management using neuroevolution" (2018), pioneers the application of evolutionary computation to optimize water resource systems, demonstrating how neural networks can be evolved to model complex hydrological processes and support decision-making in catchment areas. Though his citation count remains modest—with this key paper garnering 2 citations—Duggan's work represents an early, innovative step toward integrating artificial intelligence with ecological engineering. His research addresses critical challenges in sustainable water management, offering a novel framework that combines adaptive learning with environmental stewardship. By applying neuroevolution to watershed systems, Duggan has opened new pathways for automated, data-driven approaches to resource allocation and pollution control. His contributions are particularly relevant for researchers exploring the intersection of machine learning and environmental science, where his methods provide a foundation for scalable, real-time management solutions. Duggan’s work stands as a testament to the potential of interdisciplinary research in tackling pressing global water issues.