Martin Graham

Martin Graham is a Researcher at Edinburgh Napier University, affiliated with the School of Computing Engineering and the Built Environment and the Centre for Algorithms, Visualisation and Evolving Systems. With a PhD completed between 1998-2002 under Prof Jessie Kennedy, his career spans over two decades of research in information visualization.

His research interests focus on information visualization with specialization in taxonomic visualization, genomic data representation, cybersecurity visualization, and techniques for visualizing multiple overlapping classification hierarchies. Graham has consistently applied visualization techniques to help domain experts explore complex data across biology, genomics, and security domains. His work bridges theoretical visualization concepts with practical applications through numerous Knowledge Transfer Partnership projects.

Graham's publication record shows an evolution from foundational work on taxonomic visualization to diverse applications in genomics (VIPER, Helium), cybersecurity (Pianola, Security Visualisation), and biodiversity (Vesper). His recent work continues to advance visualization techniques for complex data analysis problems, with his latest publication in 2021 focusing on insider threat detection systems.

As a supervisor, he has mentored PhD students including Alan Melville for the project 'An investigation into visual graph comparison' (2007-2014), serving as Second Supervisor.

His research has been supported by significant funding including Innovate UK (£184,993 for Security Visualisation 2018-2022), Biotechnology and Biological Sciences Research Council (£104,072 for VESpeR 2012-2014), and Scottish Funding Council projects totaling over £20,000.

Graham has collaborated extensively with Prof Jessie Kennedy throughout his career, co-authoring numerous publications and projects. His work demonstrates a consistent thread of developing practical visualization tools that address real-world data exploration challenges across multiple scientific domains.