Iain Duff

Iain Duff is a Visiting Professor in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde, United Kingdom. His academic work bridges applied mathematics and computer science, particularly in algorithmic approaches to network analysis and machine learning.

His research focuses on uncovering structural patterns in complex networks using spectral methods and matrix algorithms. Key areas include community detection, graph partitioning, and clustering techniques based on adjacency matrices and singular vectors. These methods have broad applications in data science and artificial intelligence.

The publication trends indicate a strong emphasis on algorithm development for network structure discovery, particularly in unsupervised learning contexts. His work integrates theoretical linear algebra with practical machine learning applications.

• Research Output: 1 major conference publication with international recognition (ECML PKDD).
• Citations: 3 citations (Scopus), 5 reader captures, indicating moderate academic engagement.

He has not been listed with any formal advisees or research students in the provided material. No grants or funding sources are mentioned.

His research fingerprint highlights core expertise in Algorithms, Community Detection, Adjacency Matrix analysis, Singular Vectors, and Spectral Information, primarily within the domain of computer science and network theory.