Chris Walshaw

Professor Chris Walshaw BSc, MSc, PhD

Professor of Informatics

Chris Walshaw is a Professor of Informatics at the University of Greenwich with a particular focus on enterprise and knowledge exchange. He studied at Bath University (BSc Mathematics), the University of Edinburgh (MSc Mathematics of Non-Linear Models) and Heriot-Watt University (PhD in Parallel Algorithms for Large Sparse Systems of Differential Equations). His research interests have evolved since then and are centred around Combinatorial Optimisation, Multilevel Refinement, Graph Partitioning & Visualisation and Music Information Retrieval. In addition, with his PhD students, KTP associates and MSc project supervision he takes a wider interest in data visualisation, machine learning and network optimisation. His teaching has covered a range of topics in mathematics and computing but is currently focussed on visualisation and programming.

Please see chriswalshaw.co.uk

Computer science

Responsibilities within the university

Module Leader

  • Programming Foundations
  • Object Oriented Programming
  • Data Visualisation

Recognition
  • Fellow of the Higher Education Academy (FHEA)
  • Member of advisory committee for 10th DIMACS Implementation Challenge
  • Member of Editorial board for 10th International Conference on Engineering Computational Technology, Barcelona, Spain 2018
  • Member of Program Committee for 8th International Workshop on Folk Music Analysis, Thessaloniki, Greece 2018
  • Member of Review Panel for 1st International Symposium Music Visualization 2018, Salerno, Italy 2018
  • Member of Editorial board for 6th International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, Pecs, Hungary 2019
  • Member of Program Committee for 9th International Workshop on Folk Music Analysis, Birmingham, July 2019
  • Member of Review Committee for 23rd International Symposium on Information Visualization 2019, Paris, France 2019
  • Guest Editor, Algorithms, Special Issue on Optimization Algorithms for Graphs and Complex Networks, 2021

Research / Scholarly interests
  • Combinatorial Optimisation, Metaheuristics, Graph Visualisation, Multilevel Refinement, Graph Partitioning, Graph Drawing, Autonomics, Symbolic Music Representation, Music Score Processing; Melody Search Algorithms
  • Lead Academic for Knowledge Transfer Partnership KTP010507 with Transforming Systems Limited, to design, develop and implement a software application which predicts the growth in pressure in public health systems
  • Lead Academic for Knowledge Transfer Partnership KTP11709 with Argos Limited, for the innovation of an optimal assortment multi-echelon inventory plan which adjusts for store space and stock budget constraints.

Please see chriswalshaw.co.uk/research/

Recent publications

Please see chriswalshaw.co.uk/papers/