معرفی
Andrew John Campbell is a Knowledge Exchange Fellow in the Department of Electronic & Electrical Engineering at the University of Strathclyde's Faculty of Engineering. With a Doctor of Engineering in Advanced Manufacturing, Dr. Campbell specializes in applying image processing and hyperspectral imaging techniques to solve complex measurement challenges across nuclear decommissioning, aerospace, and industrial manufacturing contexts. His research bridges academic innovation with practical industrial applications, particularly in environments where traditional measurement approaches are impractical or hazardous.
- Doctor of Engineering, Advanced Manufacturing
Dr. Campbell's research focuses on developing advanced image analysis methodologies for diverse applications. His primary expertise lies in hyperspectral imaging for nuclear fuel characterization during decommissioning processes, where his work enables remote analysis of radioactive materials through specialized techniques like short-wave infrared imaging through leaded glass. He has also applied similar methodologies to space object identification, granular material analysis in foundry applications, and biomedical contexts such as platelet analysis. His approach consistently combines cutting-edge image processing algorithms with domain-specific knowledge to address real-world industrial challenges.
Analysis of Dr. Campbell's recent publications (2019-2025) reveals a clear research trajectory from fundamental image analysis techniques toward increasingly specialized applications in high-consequence environments. The 2024-2025 publications demonstrate a strong emphasis on nuclear decommissioning applications, with multiple papers addressing the characterization of nuclear fuel debris through multimodal spectroscopy. This work represents a significant advancement in the field, enabling safer and more efficient nuclear site cleanup. His publications span multiple high-impact venues including IEEE conferences and scientific journals, reflecting the interdisciplinary nature of his work.
- Best Technical Paper in IIF Journal Award (Non-Ferrous Category) - February 2025
Dr. Campbell has secured significant research funding through multiple competitive grants, serving as Principal Investigator for the "Spectroscopy Suite for Direct Low Waste Measurement for All States of Matter" project funded by Sellafield Limited (January-March 2024), and as Co-investigator on several other substantial projects including the HSI for Granular Material project funded by Fraunhofer UK Research Limited (2023-2024). His funding portfolio spans nuclear, aerospace, manufacturing, and biomedical applications, demonstrating the versatility of his image processing expertise. He has supervised doctoral research as evidenced by his role in the thesis "Image processing for the analysis of TI-6AL-4V microstructures" and has presented research at professional venues including a 2020 presentation on "Automated tracking of mitochondrial motility using image processing and epifluorescence microscopy".
Dr. Campbell works within research groups focused on advanced imaging applications, collaborating extensively with researchers including Paul Murray, Jaime Zabalza, and Stephen Marshall. His laboratory work suggests capabilities in hyperspectral imaging, spectral analysis, and advanced image processing techniques. He appears to be part of Strathclyde's nuclear technology research initiatives and contributes to the Universities' Nuclear Technology Forum. His fingerprint analysis indicates significant contributions to image processing (100%), space object identification (87%), and microstructure analysis (65%), reflecting the interdisciplinary nature of his research program.
