Enda Howley

Ollscoil na Gaillimhe – University of Galway

Papers

Total Citations

H-Index

About

Enda Howley is a researcher whose work sits at the intersection of artificial intelligence and environmental systems, with a particular focus on neuroevolution and its application to complex resource management problems. His most notable contribution, detailed in the 2018 paper "Watershed management using neuroevolution," demonstrates how evolutionary algorithms can optimize neural networks for real-world ecological decision-making. While this specific work has garnered 2 citations, it represents a foundational approach to integrating adaptive AI with environmental stewardship—a niche where computational efficiency and sustainability converge. Howley’s research addresses the challenge of managing dynamic, data-scarce watershed systems by evolving neural controllers that adapt to changing conditions without human intervention. This work is particularly relevant for researchers exploring AI-driven solutions in hydrology, ecology, and smart agriculture. Though his citation count is modest, the novelty of applying neuroevolution to watershed management marks him as a pioneer in a growing interdisciplinary field, offering a blueprint for future studies that seek to balance computational intelligence with ecological resilience.