- Room 111, 2 Kirkby Place, Drake Circus, Plymouth, PL4 8AA
- +44 1752 586329
- matthew.craven@plymouth.ac.uk
Profiles
Dr Matthew Craven
Lecturer in Applied Mathematics
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)
Matthew can be contacted through arrangement with our Press Office, to speak to the media on these areas of expertise.
- Artificial intelligence
- Cryptography
- Mathematics
- High-performance computing
- Optimisation
Email publicrelations@plymouth.ac.uk to enquire.
Roles
- Lecturer in Applied Mathematics (nominated for SSTAR awards in the categories of "Inspirational Teaching" and "Sensational Programme Lead").
- Deputy Associate Head for Teaching and Learning (SECaM)
- Lead of the Plymouth GPU Research Center and the Big Data research group.
- Programme Manager for the (six) Foundation Year Technology programmes in the Faculty of Science and Engineering. Stage Tutor and Senior Personal Tutor for four of these programmes. Member of the admissions team.
- Member of the University Senate.
- School disability and mental health champion. Certified Mental Health First Aider.
- Applied Mathematics seminar joint organiser - if you wish to give a seminar then please contact me. (Current seminar details available on CMS seminars calendar and UoP Mathematical Sciences Seminar Page.)
Qualifications
- FHEA (Higher Education Academy)
- Postgraduate Certificate in Academic Practice
- PhD in Mathematics (University of Manchester, UK)
Professional membership
- Member of the Institute of Mathematics and its Applications
- Member of the London Mathematical Society
- Member of the Foundation Year Network
Key publications
2016 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access
2019 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
2020 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
Teaching interests
Undergraduate 2020-21:
- MATH051 * Mathematical Methods I
- MATH054 * Mathematics for Computing
- MATH055 Mathematics I
- MATH2604 Mathematical Methods and Applications
- MATH3628 Final Year Mathematics Projects
- PRCO304 Computing Projects
Postgraduate 2020-21:
- GS19 * Introduction to R for research staff and PhD students - Doctoral College
* denotes module leadership.
External CPD Courses:
- Big Data (April 2019)
- Introduction to RStudio (January 2020)
all in conjunction with the Environmental Futures and Big Data Impact Lab at the University of Plymouth.
I also have many years of teaching experience in many different venues and levels, from foundation year to MSc levels and PhD workshops. I have a proven track record of taking student research to publication, with articles in LNCS and Plymouth Student Scientist.
Staff serving as external examiners
PhD External Examiner at the University of Greenwich (2019)
Research interests
Applications of Artificial Intelligence and High Performance Computing:
- Hyperheuristics and machine learning for discovery of symbolic objects
- Offshore renewable energy
- Group-theoretic cryptanalysis and cybersecurity
- Copulas and combinatorial optimisation in financial mathematics
- Real time visualisation and performance analysis of AI algorithms (particularly Evolutionary Algorithms and variants)
In many of the above I make use of parallel computation on an HPC cluster or GPUs. I am also an enthusiastic researcher in Mathematics education.
Current PhD Students:
(2016 - present) T. Alotaibi, Large Scale Portfolio Optimisation Using Heuristic Algorithms Built Around Copula Financial Models (Director of Studies)
(2019 - present) M. Walter, Understanding Optimisation Processes with Biologically-Inspired Visualisations (2nd Supervisor)
(2020 - present) A. Verulkar, Game-Theoretic Approaches Towards Insider Threat Detection and Mitigation (Director of Studies)
(2020 - present) F. Ben Salamah, Adaptive Awareness Raising and Cyber Security Training for Social Media Users (2nd Supervisor)
(2020 - present) P. Manikowski, Multi-Objective Optimisation of Floating Offshore Windfarms (2nd Supervisor)
(2020 - present) R. Soni, Hybridizing Metaheuristics with Machine Learning for Portfolio Optimization Problems (Director of Studies)
Other research
I am an external member of the Cybersecurity research group at the University of Abertay Dundee.
Research degrees awarded to supervised students
PhD Internal Examiner at the University of Plymouth in March 2020.
Grants & contracts
Externally Funded Projects:
2014-2017: NVIDIA: Award of NVIDIA GPU Research Center. (Principal investigator.)
Seven CMS staff and one colleague in Computing carried out research ranging from Particle Physics, Industrial Engineering to Cryptanalysis supported by hardware from NVIDIA. Successfully renewed in 2015 and 2016. Since then, the centre has continued as a pan-school initiative in the guise of the Plymouth GPU Research Centre.
2016: Medicem: "Clinical Assessment of the WIOL-CF". P. Buckhurst, H. Buckhurst, P. Hewson, M. Craven.
Key publications
2016 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access
2019 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
2020 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
Key publications are highlighted
Journals
Articles
2020 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
2019 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
2018 'The "Mathematics Problem": A Plymouth Foundation Year Case Study' Journal of the Foundation Year Network 1, 23-35 Publisher Site Open access
2017 'Adversarial Risk Analysis D. L. Banks, J. Rios and D. Ríos Insua 2015 Boca Raton, CRC Press 214 pp., £57.99 (e-book £55.09) ISBN 978-1-498-71239-2' Journal of the Royal Statistical Society: Series A (Statistics in Society) 180, (2) 682-682 , DOI
2016 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access
2014 'E-business, recent threats and security countermeasures' International Journal of Electronic Security and Digital Forensics 6, (3) 169-169 , DOI
2012 'Building on Workplace Simulation within the Context of First Year Undergraduate Civil Engineering' Professional Practice in Higher Education Teaching (1) 19-25
2012 'Evolutionary algorithm solution of the multiple conjugacy search problem in groups, and its applications to cryptography' Groups - Complexity - Cryptology 4, (1) , DOI
'Evolution of Group-Theoretic Cryptology Attacks using Hyper-heuristics'
Books
2020 Modern Engineering Mathematics. 6th Ed. Pearson
2018 Advanced Modern Engineering Mathematics. 5th Ed. Pearson
Chapters
2008 'An Evolutionary Algorithm for the Solution of Two-Variable Word Equations in Partially Commutative Groups' Recent Advances in Evolutionary Computation for Combinatorial Optimization Springer Berlin Heidelberg 3-19 , DOI
Conference Papers
2020 'A Structured Approach to Modifying Successful Heuristics' Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: ECTA 1-/-1/20201-/-1/2020SciTePress 220-225 , DOI Open access
2020 'Visualising Evolution History in Multi- and Many-Objective Optimisation' Parallel Problem Solving from Nature 2020 9-/-0/20209-/-0/2020Springer Verlag 299-312 , DOI Open access
2019 'Efficient Frontiers in Portfolio Optimisation with Minimum Proportion Constraints' GECCO 2019 7-/-0/20197-/-0/2019ACM 358-359 , DOI Open access
2018 'Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems' 13th International Conference on Hydroinformatics Palermo, Italy 7-/-0/20187-/-0/2018, DOI Open access
2018 'Toward the Online Visualisation of Algorithm Performance for Parameter Selection' EvoApplications 2018 Parma, Italy 4-/-0/20184-/-0/2018Springer , DOI Open access
2017 'Exploring Botnet Evolution via Multidimensional Models and Visualisation' STM 2017 Oslo, Norway 9-/-0/20179-/-0/2017, DOI Open access
2017 'BBIOS: A Characterization of Evolutionary Algorithm Stability' GECCO 2017 Berlin, Germany 7-/-0/20177-/-0/2017ACM , DOI Open access
2017 'Exploring the (Efficient) Frontiers of Portfolio Optimization' GECCO 2017 Berlin, Germany 7-/-0/20177-/-0/2017ACM , DOI Open access
2014 'EA stability visualization' GECCO '14: Genetic and Evolutionary Computation Conference ACM , DOI
2013 'Automated Counter-Terrorism' 2013 European Intelligence and Security Informatics Conference (EISIC) 8-/-0/20138-/-0/2013IEEE , DOI
2013 'Social Learning Space: Supporting Students Articulating from FE to HE by Utilising Social Media Technology' Proc. Intl. Conf. Enhancement and Innovation in HE 6-/-0/20136-/-0/2013
2013 'An EA for portfolio selection over multiple investment periods with exponential transaction costs' Proceeding of the fifteenth annual conference companion 7-/-0/20137-/-0/2013ACM Press , DOI
2012 'A dynamical model of cancer chemotherapy with disturbance' the fourteenth international conference 7-/-0/20127-/-0/2012ACM Press , DOI
2011 'A Kolmogorov-Type Stability Measure for Evolutionary Algorithms' Springer Berlin Heidelberg 26-37 , DOI
2007 'Genetic Algorithms for Word Problems in Partially Commutative Groups' Springer Berlin Heidelberg 48-59 , DOI
Other Publications
Sifted QP solutions for portfolio optimisation problems dataset. Open access
A Matrix-Based Evolutionary Algorithm for Cardinality-Constrained Portfolio Optimisation. Open access
Instances for Group-Theoretic Cryptology. Open access
Sifted QP Solutions for Minimum Proportions Dataset. Open access
Reports & invited lectures
Recent invited lectures are as follows:
- 2020 (with S. Martin and J. R. Woodward) "A Structured Approach to Modifying Successful Heuristics", 12th Intl. Conf. on Evolutionary Computation Theory and Applications, Online.
- 2020 "Inclusion for Foundation Year Mathematics Post Covid-19", FYNAC20, Univ. East Anglia, UK. Also, invited panel discussion.
- 2020 (with M. J. Walter and D. J. Walker) "Visualising Evolution History in Multi- and Many-Objective Optimisation", PPSN 2020, Leiden, Netherlands.
- 2019 (with T. Alotaibi and P. Tziogkidis) "Constructing Class-Based Portfolios on Gulf Markets with Metaheuristics", OR-61, Kent, UK.
- 2019 (with T. Alotaibi) "Efficient Frontiers in Portfolio Optimisation with Minimum Proportion Constraints", GECCO 2019, Prague, Czech Republic.
- 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.
- 2018 (with D. J. Walker) "Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems", HIC 2018, Palermo, Italy.
- 2018 (with D. J. Walker) "Toward the Online Visualisation of Algorithm Performance for Parameter Selection", EVOIndustry, Parma, Italy.
- 2018 "The Plymouth GPU Research Centre, Big Data Group", Plymouth, UK.
- 2017 (with W. Dash) "Exploring Botnet Evolution via Multidimensional Models and Visualisation", STM (ESORICS) 2017, Oslo, Norway.
- 2017 (with D. I. Graham) "Exploring the (Efficient) Frontiers of Portfolio Optimization", GECCO2017, Berlin, Germany.
- 2017 (with S. P. Martin) "BBIOS: A Characterization of Evolutionary Algorithm Stability", GECCO2017, Berlin, Germany.
- 2017 (with J. Sharp, M. Lavelle and C. Christopher) "Exploring the Frontiers of Foundation Years in Mathematics - An Enhanced Transition", FYNAC'17, Warwick, UK.
- 2016 "Group Cryptography", Plymouth, UK.
Other academic activities
- I have taught many Royal Institute Mathematics Masterclasses and outreach events, the most recent in February 2020.
- 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 and artificial intelligence.
- I lead the Big Data Group, and also the Plymouth GPU Research Centre.
Additional information
I am always happy to hear from prospective PhD students in the areas specified in my research section, and in particular:
- Group-Theoretic Cryptology
- Financial Mathematics
- Artificial Intelligence (including evolutionary algorithms, machine learning and high performance computing)
For informal enquiries, please contact me directly. To apply officially for a PhD position at Plymouth, please click here.
Links
http://math-sciences.org/
https://www.plymouth.ac.uk/schools/school-of-engineering-computing-and-mathematics/mathematical-sciences