Dr Matthew Craven
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
Biography

Biography

Roles
  • Lecturer in Applied Mathematics.
  • Awarded the University SSTAR Award for "Inspirational Teacher of the Year" (June 2021).
  • 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.
  • 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 (Dundee)
  • PhD in Mathematics (Manchester)

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

Graham D & Craven M (2020) 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
Walker D & Craven M (2019) 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
Craven MJ & Robertz D (2016) 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access
View all publications
Teaching

Teaching

Teaching interests

Undergraduate 2021-22:
  • MATH051 * Mathematical Methods I
  • MATH054 * Mathematics for Computing
  • MATH055 Mathematics I
  • MATH2604 Mathematical Methods and Applications
  • MATH3628 Final Year Mathematics Projects
Postgraduate 2021-22:
  • 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)
  • Lunchtime Course on Inference (August 2021)

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, Studies in Economics and Finance, and the Plymouth Student Scientist.

Staff serving as external examiners

PhD External Examiner at the University of Greenwich (2019)

Research

Research

Research interests

Applications of Artificial Intelligence and High Performance Computing:
  • Hyperheuristics and machine learning
  • Offshore renewable energy (ORE)
  • 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. I am also an enthusiastic researcher in Mathematics education.

Current PhD Students:

(2016 - present) T. Alotaibi, Portfolio Optimisation Using Genetic Algorithms and 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.

Publications

Publications

Key publications

Graham D & Craven M (2020) 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
Walker D & Craven M (2019) 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
Craven MJ & Robertz D (2016) 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access

Key publications are highlighted

Journals
Articles
Graham D & Craven M (2020) 'An Exact Algorithm for Small-Cardinality Constrained Portfolio Optimisation' Journal of the Operational Research Society 1-17 , DOI Open access
Walker D & Craven M (2019) 'Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach' Applied Soft Computing 0-0 , DOI Open access
Craven MJ & Sharp J (2018) 'The "Mathematics Problem": A Plymouth Foundation Year Case Study' Journal of the Foundation Year Network 1, 23-35 Publisher Site Open access
Craven M (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
Craven MJ & Robertz D (2016) 'A parallel evolutionary approach to solving systems of equations in polycyclic groups' Groups Complexity Cryptology , DOI Open access
Pournouri S & Craven M (2014) 'E-business, recent threats and security countermeasures' International Journal of Electronic Security and Digital Forensics 6, (3) 169-169 , DOI
Craven M (2012) 'Building on Workplace Simulation within the Context of First Year Undergraduate Civil Engineering' Professional Practice in Higher Education Teaching (1) 19-25
Craven MJ & Jimbo HC (2012) 'Evolutionary algorithm solution of the multiple conjugacy search problem in groups, and its applications to cryptography' Groups - Complexity - Cryptology 4, (1) , DOI
Books
James G, Dyke P, Searl J, Craven M & Wei Y (2020) Modern Engineering Mathematics. 6th Ed. Pearson
James G, Dyke PPG, Burley D, Clements D, Steele N, Searl J, Wright J, Craven MJ, Reis T & Stander J (2018) Advanced Modern Engineering Mathematics. 5th Ed. Pearson
Chapters
Craven MJ (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
Martin S, Craven M & Woodward J (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
Walter M, Walker D & Craven M (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
Alotaibi T & Craven M (2019) 'Efficient Frontiers in Portfolio Optimisation with Minimum Proportion Constraints' GECCO 2019 7-/-0/20197-/-0/2019ACM 358-359 , DOI Open access
Walker D & Craven MJ (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
Walker D & Craven MJ (2018) 'Toward the Online Visualisation of Algorithm Performance for Parameter Selection' EvoApplications 2018 Parma, Italy 4-/-0/20184-/-0/2018Springer , DOI Open access
Dash W & Craven MJ (2017) 'Exploring Botnet Evolution via Multidimensional Models and Visualisation' STM 2017 Oslo, Norway 9-/-0/20179-/-0/2017, DOI Open access
Craven MJ & Martin SP (2017) 'BBIOS: A Characterization of Evolutionary Algorithm Stability' GECCO 2017 Berlin, Germany 7-/-0/20177-/-0/2017ACM , DOI Open access
Craven MJ & Graham DI (2017) 'Exploring the (Efficient) Frontiers of Portfolio Optimization' GECCO 2017 Berlin, Germany 7-/-0/20177-/-0/2017ACM , DOI Open access
Craven MJ & Jimbo HC (2014) 'EA stability visualization' GECCO '14: Genetic and Evolutionary Computation Conference ACM , DOI
Ball L & Craven M (2013) 'Automated Counter-Terrorism' 2013 European Intelligence and Security Informatics Conference (EISIC) 8-/-0/20138-/-0/2013IEEE , DOI
Carmichael D, Craven M, Davidson M & Richmond G (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
Craven MJ & Jimbo HC (2013) 'An EA for portfolio selection over multiple investment periods with exponential transaction costs' GECCO '13: Genetic and Evolutionary Computation Conference ACM , DOI
Jimbo HC & Craven MJ (2012) 'A dynamical model of cancer chemotherapy with disturbance' the fourteenth international conference 7-/-0/20127-/-0/2012ACM Press , DOI
Craven MJ & Jimbo HC (2011) 'A Kolmogorov-Type Stability Measure for Evolutionary Algorithms' Springer Berlin Heidelberg 26-37 , DOI
Craven MJ (2007) 'Genetic Algorithms for Word Problems in Partially Commutative Groups' Springer Berlin Heidelberg 48-59 , DOI
Other Publications
Craven M & Graham D A Matrix-Based Evolutionary Algorithm for Cardinality-Constrained Portfolio Optimisation. Open access
Craven M & Woodward J Instances for Group-Theoretic Cryptology. Open access
Craven M & Graham D Sifted QP Solutions for Minimum Proportions Dataset. Open access
Graham D & Craven MJ Sifted QP solutions for portfolio optimisation problems dataset. Open access
Personal

Personal

Reports & invited lectures


Recent invited lectures:
  • 2021 "Foundation Year Innovation, Challenges and Opportunities During a Pandemic", FYNAC21, Univ. Keele, Online. Also, invited panel discussion.
  • 2021 (with P. L. Manikowski and D. J. Walker) "Single and Multi-Objective Optimisation of Benchmark Wind Farm Optimisation Problems", 8th PRIMaRE Conference.
  • 2021 (with D. J. Walker and K. Tam) "Securing and Automating Offshore Renewable Engineering: Challenges in Trustworthy Artificial Intelligence and Cyber Security", 8th PRIMaRE Conference.
  • 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), Expert Systems with Applications, 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-date.
  • 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
  • Offshore Renewable Energy (ORE)
  • 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