Peter J. Hickey

Defence Science and Technology Laboratory

Papers

Total Citations

H-Index

About

Peter J. Hickey is a researcher whose work lies at the intersection of artificial immune systems and chemical detection. His most-cited paper, "Chemical Detection Using the Receptor Density Algorithm" (2012, 21 citations), introduces a novel application of the receptor density algorithm—a computational model inspired by biological immune systems—to identify chemicals from spectrometer data. By generating unique chemical signatures and matching them against a reference library, Hickey’s approach enables robust, automated chemical identification, offering a powerful tool for environmental monitoring, security, and analytical chemistry. His contributions demonstrate how bio-inspired algorithms can solve real-world sensing challenges, bridging computational intelligence with practical instrumentation. While his citation count reflects a focused niche, the impact of his work lies in its methodological innovation: adapting immune system principles to enhance detection accuracy and reliability. For students and researchers exploring artificial immune systems or sensor data analysis, Hickey’s work provides a compelling example of cross-disciplinary problem-solving, showing how abstract biological concepts can be translated into tangible, deployable technologies.