Luthais McCash - Honorary Industrial Fellow

L McCashPersonal details

Luthais McCash has no formal office hours. He can best be contacted at lm460@leicester.ac.uk

Luthais is an Elected Member of the London Mathematical Society – elected in June 2019, and was conferred a Fellow of the Royal Statistical Society on May 1st 2020.

Teaching (2019 - 2020)

PA4602 – Scientific Data Analysis: Lecturing and examining component on Neural Networks & Machine Learning

MA3511 – Mathematics Business Project: Supervising student projects / dissertation.

MA2511 - Business Applications of Mathematics: Lecturing on Mathematical modelling from data, statistical inference as well as writing and assessing student projects.

MA1014 – Calculus & Analysis: Delivering lecture on Second Order Linear Differential Equations and Practical Applications

Supervision

MSc Supervision:

Thesis: "Using machine learning to determine motion and pressure from electrical signals from the deformation of the rubber graphene skin" (Industrial Mentor in conjunction with Prof. J Lapington & Dr. J. Williams) - Tom Sewart

BSc Supervision:

BSc (Hons) Dissertation: "Predicting LNG Price Directionality: A Binary Approach" (Primary (1st) Supervisor) - Faduma Abdi

Research

Luthais McCash is an Honorary Industrial Fellow at the Department of Mathematics, University of Leicester. His main area of research is within applied mathematics and mathematical modelling, particularly within industry.

His academic research focuses on fluid flow modelling, and PDE constrained optimisation. Currently he collaborates with colleagues in both Leicester and externally. He has previously consulted within the oil and gas sector, energy sector and aviation sector on fluid flow and optimisation projects, has a background as an industrial consultant using techniques in mathematical modelling.

Lately, his consultancy has involved analysis of stochastic problems and providing strategic guidance based on stochastic data. His work, generally speaking relates to fluid flow modelling and optimisation particular reference to predictive and mathematical modelling.   He was recognised in industry for developing new mathematical models and methods in predictive forecasting.

His academic interests relate to applied mathematics and industrial mathematics in general.

Those interested in Luthais' work should email him directly to discuss projects.

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Contact details

Department of Mathematics
University of Leicester
University Road
Leicester LE1 7RH
United Kingdom

Tel.: +44 (0)116 229 7407

Campus Based Courses

Undergraduate: mathsug@le.ac.uk
Postgraduate Taught: mathspg@le.ac.uk

Postgraduate Research: pgrmaths@le.ac.uk

Distance Learning Course  

Actuarial Science:

DL Study

Student complaints procedure

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