David P. A. Kilgour
Papers
1
Total Citations
21
H-Index
1
About
David P. A. Kilgour is a researcher whose work sits at the intersection of computational intelligence and chemical sensing, with a particular focus on artificial immune systems. His most notable contribution is the development and application of the receptor density algorithm, a bio-inspired computational method that mimics the vertebrate immune system to identify chemical compounds. In his seminal 2012 paper, Kilgour demonstrated how this algorithm can process spectral data from various spectrometers, generating unique chemical signatures that are then matched against a library of known substances for positive identification. This approach offers a robust, pattern-based alternative to traditional analytical chemistry techniques. While his highly specialized work has garnered over 20 citations, its true impact lies in its conceptual bridge between immunology and analytical chemistry, offering a novel framework for automated chemical detection. Kilgour’s research represents a creative synthesis of disciplines, showcasing how biological principles can be repurposed to solve practical problems in chemical analysis and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1Chemical Detection Using the Receptor Density Algorithm21 citations · 2012