Dr Richard Edgar Hodgett
- Position: Associate Professor in Business Analytics and Decision Science
- Areas of expertise: Decision-making techniques; multi-objective optimisation; MCDA / MCDM; techniques to mitigate or evaluate uncertainty; innovation & product development.
- Email: R.E.Hodgett@leeds.ac.uk
- Phone: +44(0)113 343 0586
- Location: 1.19 Charles Thackrah Building
- Website: LinkedIn | Researchgate | ORCID
Richard started his career as an engineer, gaining experience working for an automotive design company in Belgrade and an industrial design company in Gothenburg. He was awarded with a PhD in Chemical Engineering and Advanced Materials from Newcastle University where he worked on improving decision-making in whole process design. After his PhD, Richard worked as a Research Associate for Newcastle University where he developed several software-based tools for decision-making. Following this he worked as an Innovation Specialist for Britest Limited (a not for profit SME), developing tools for facilitating whole process understanding.
In 2014, Richard joined the University of Leeds as a Lecturer in Business Analytics and Decision Science where he helped to establish the MSc in Business Analytics and Decision Sciences (BADS). Richard became the program director of MSc BADS in 2017, an Associate Professor in 2018 and the divisional director of student decision for Management in 2020.
- Director of Student Education for the Management Division
- Programme Director of MSc in Business Analytics and Decision Sciences
Richard is a multi-disciplinary researcher who is interested in applied analytical and decision problems. He is interested in MCDA/MCDM, multi-objective optimisation, methods and techniques for handling uncertainty, predictive modelling and the development of new/innovate analytical methods. He is open to supervising PhD projects in these areas.
Richard is currently supervising one Knowledge Transfer Partnership (KTP) and three PhD students:
KTPs (partly funded by InnovateUK):
- Richard is the academic supervisor for a KTP project with Clipper Logistics. The aim of the project is to develop and deploy models, incorporating predictive analytics techniques, that will significantly improve the processing efficiency and reduce the costs involved in handling product returns arising from fast fashion e-commerce transactions.
- Developing a Decision Support System for water related disasters in climate change. LUBS student. Started 2019.
- Understanding the issues and challenges in automated transcribing of phone calls for analysis in a Bus Transit System. Geography student. Started 2019.
- Rheumatoid arthritis driven alteration in T-cell epigenetic programming. Medicine student. Started 2016.
Richard recently finished supervising/leading the following funded projects:
- Richard was the academic supervisor for an InnovateUK/ESRC funded KTP in collaboration with a successful music label. The aim of the project was to develop a system utilising machine learning, artificial intelligence and decision science methodologies to support and enhance the identification of new musical talent and maximise the profitability of the talent identification process. Although dissemination work is ongoing the funding finished in early 2020.
- Richard was the Leeds PI on a 2year EU funded (€0.5million) project titled Setting the framework for the enhanced impact of SPIRE projects. He worked alongside Prof. Alan Pearman, Dr. Vedran Lesic and a number of industrial partners including Britest Ltd, INEOS, A.Spire, Iris and CRIT. The project finished in September 2019 with the following reviewer feedback: the “project has delivered exceptional results with significant immediate or potential impact”.
- PhD in Multi-criteria decision-making in whole process design, Newcastle University
- Newcastle Teaching Award, Newcastle University
- MEng in Product Design and Development, Queens University Belfast
- OR Society
- International Society on Multiple Criteria Decision Making
Richard specialises in teaching analytics and decision-making approaches. Since joining Leeds, Richard has designed and developed three new masters level modules (LUBS5308, LUBS5309 & LUBS5578) and one new undergraduate module (LUBS2920). He has passed most of these modules onto other fantastic colleagues but still delivers LUBS5308 which has become one of the LUBS flagship modules.
Richard enjoys teaching practical skills and supports the use of blended learning, teaching the majority of his practicals in computer clusters where the students learn from Richard, the course materials and fellow students.
Richard teaches many topic areas including data pre-processing, dealing with missing data, hierarchical and non-hierarchical clustering, multi-criteria decision analysis, network graphing and visualisation, linear optimisation, goal programming, genetic algorithms, swarm based optimisation methods, variable reduction techniques, time series analysis and forecasting (exponential smoothing, ARIMA etc.), neural networks / deep learning, naive Bayes classification, linear/logistic regression, text analysis, simulations, big data systems (Hadoop, Spark etc.), big data platforms (Azure, AWS etc.), databases, SQL and APIs.
Richard has also designed and delivered many bespoke executive education courses for groups in industry. He regularly teaches courses on analytical content for the Consumer Data Research Centre and on decision-making for the UN System Executive Management programme. He has spoken at many external events including the Leeds Digital Festival and Ideas in Practice.
Richard also holds two leadership positions, being the Director of Student Education for the Management Division and the Programme Director of the MSc in Business Analytics and Decision Science.
Research groups and institutes
- Centre for Decision Research