Dr Matthew Craven
Lecturer in Applied Mathematics
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)
FHEA (Higher Education Academy)
Postgraduate Certificate in Academic Practice
PhD in Mathematics
Member of the Institute of Mathematics and its Applications
Member of the London Mathematical Society
Member of the Foundation Year Network
Staff serving as external examiners
PhD External at University of Greenwich (2019)
- Combinatorial enumeration methods for approximation of optimal solutions
- Hyperheuristics and machine learning for discovery of symbolic objects
- Offshore renewable energy
- Group-theoretic cryptanalysis
- Copulas and combinatorial optimisation in financial mathematics for business
- Real time visualisation and performance analysis of algorithms (particularly Evolutionary Algorithms and variants)
- Structure-preserving mappings and algorithms
- Mathematics education
I am an external member of the Cybersecurity research group at the University of Abertay Dundee.
Grants & contracts
Several journal papers currently submitted or in preparation (as of 14/11/19):
M. J. Craven, J. Sharp, Evaluation of the effectiveness of the Foundation Year in Mathematics and the impact on student recruitment and retention, in progress.
D. J. Walker, M. J. Craven, A Visualisation-Based Benchmarking Approach in Water System Design, in progress.
D. I. Graham, M. J. Craven, Sifted QP Solutions of Portfolio Optimisation Problems with Small Cardinality Constraints, accepted subj. minor revs. (Sept 2019).
M. J. Craven, D. I. Graham, A Matrix-Based Evolutionary Algorithm for Cardinality-Constrained Portfolio Optimisation, submitted (Sept 2019).
Key publications are highlightedJournals
Reports & invited lectures
2019 (with T. Alotaibi and P. Tziogkidis) "Constructing Class-Based Portfolios on Gulf Markets with Metaheuristics", OR-61, Kent, UK.
2019 (with J. Sharp) "Combatting the Deficit Model in Foundation Year Mathematics: Ethical Admissions and Inclusive Curricula", FYNAC19, Univ. Sussex, UK.
2019 "Group-Theoretic Cryptanalysis Using Hyperheuristics", Queen Mary University of London, UK.
2019 "Evolution of Cryptanalytic Attacks via Hyperheuristics", Big Data Group, Plymouth, UK.
2018 (with J. Sharp) "Exploring the Frontiers of Foundation Years in Mathematics - An Update on a Work in Progress", FYNAC18, Nottingham, UK.
2017 (with W. Dash) "Exploring Botnet Evolution via Multidimensional Models and Visualisation", STM (ESORICS) 2017, Oslo, Norway.
2016 "Group Cryptography", Plymouth, UK.
2016 "How to Break Cryptographic Schemes with Monte-Carlo Methods and High-Performance Computing", Stirling, UK.
2016 "Big Data: Machine Learning, Heuristic Methods and the Future of Cybersecurity in HPC Environments", Invited keynote funded by SICSA, Big Data in Cybersecurity Conference, Napier University, UK.
Other academic activities
- I have taught many Royal Institute Mathematics Masterclasses and outreach events, the most recent in July 2019.
- I regularly lead sessions at Mathematical Sciences open and applicant days for undergraduate students.
- I review for the Journal of Operational Research (JORS) and Applied Soft Computing, among others. I was a Programme Committee member for the GECCO-UP Workshop 2013 and GECCO 2019, and a Review Committee member for the VizGEC Workshop in 2015-2019.
- I review EPSRC grant applications in cryptography.
- I lead the Big Data Group, and also the Plymouth GPU Research Centre.
I am always happy to hear from prospective PhD students in the areas specified in my research section, and in particular, Group-Theoretic Cryptology and Financial Mathematics. For informal enquiries, please contact me directly. To apply officially for a PhD position at Plymouth, please click here.