Dr Penny Holborn
PgCDPPHE (Distinction), University of South Wales, 2017.
PhD Mathematics, Cardiff University, 2013.
BSc (Hons) in Mathematics, Operational Research and Statistics, Cardiff University, 2009.
I have developed a passion for applying analytical methods to real-life problems. I am keen to build relationships with professional bodies and public sector organisations to both inform teaching, collaboration and enhance employability of our students.
Senior Lecturer, School of Computing & Mathematics, University of South Wales (Nove 18 – Present)
Lecturer in Mathematics, Statistics and Operational Research, University of South Wales (Dec 2014 – Nov 2018)
Research Associate, Cardiff University and Aneurin Bevan University Health Board (May 2013 – Dec 2014)
PhD, Cardiff University (Oct 2009 – May 2013)
Statistical Analyst, Welsh Government (July 07-June 08 & June 09-Sep 09)
Course Leader MSc in Data Science.
Course Leader MSc Applied Data Science.
Current teaching responsibilities:
MS3S09 – Operational Research
Current publications for submission:
Using machine learning tools to investigate factors associated with trends in ‘no-shows’ in outpatient appointments. For submission to Health and Place, January 2020.
Mathematical Modeling of Critical Care Flow: How Can We Best Cope With Increasing Demand? Presented at 2020 Critical Care Congress in submission for Critical Care Explorations (January 2020).
Whitter-Jones, J. Holborn, P., Griffiths, M, Davies, R (2020). A Study of Organisational Aspects, Technologies and Future Trends within Security Operations Centres. Submitted to IEEE Security & Privacy.
Peters, R., Holborn, P. (2019). STEELSIM 2019 Conference 8th International Conference on Modelling and Simulation of Metallurgical Processes in Steelmaking: A review of Data Mining techniques for failure prediction in Continuous Casting, Toronto, Ont., Canada, 13.08.2019.
Peters, R., Holborn, P. (2017). SAS Global Forumn 2017: An Investigation into Big Data Analytics Applied to Insurance, Orlando, FL, 05.04.2017. SAS Institute Inc.
Spernaes, I., Holborn, P., Whent, A. and Griffiths, K. (2017). A caseload management tool for community mental health teams. British Journal of Mental Health Nursing, 6(2), pp.81-86.
Lewis, R. and Holborn, P., 2016. How to Pack Trapezoids: Exact and Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation.
Holborn, P. L. 2013. Heuristics for dynamic vehicle routing problems with pickups and deliveries and time windows. PhD Thesis, Cardiff University.
Holborn, P. L., J. M. Thompson, and R. Lewis (2012). ‘Combining Heuristic and Exact Methods to Solve the Vehicle Routing Problem with Pickups, Deliveries and Time Windows’. In Evolutionary Computation in Combinatorial Optimisation (Lecture Notes in Computer Science vol. 7245), J.-K. Hao and Middendorf (Eds.), Berlin:Springer-Verlag, pp.63-74.
Co-Chair of School of Computing & Mathematics Athena Swan Self Assessment Team
Member of USW Learner Analytics Group
Member of Women in Academia@USW Network.
Fellow HEA, 2017
Associate Fellow HEA, 2012.
Member of General Council of the UK OR Society (Sep 2016-).
Secretary of the South Wales OR Discussion Society (March 17-).
Associate of the Operational Research Society, 2015.
Candidate Associate of the Operational Research Society, 2012.
Main Research areas and current projects:
Big data analytics in particular predictive modelling. Currently supervising a KESS 2 project with Tata Steel looking at predictive maintenance.
Solving combinatorial optimisation problems using heuristic and metaheuristic methods. Current research involves looking at Scheduling problems for Cardiff Airport.
Applying OR techniques to Health care, building collaboration with NWIS.
Areas of Expertise
I have expertise in using a range of analytical methods applied to real-world problems. This includes classical OR techniques such as optimsation and simulation but also more recent big data tools in predictive modelling.
If you are a journalist on deadline and you need to speak with a member of university staff with particular expertise, please contact the Press Office.