Researchers Database

Abdul Jabbar

Occupational title:

Head of Digital Transformation

University:

University of Huddersfield

Research interests: I am currently working on research with a focus on authenticity, traceability, and accuracy through the implementation and use of Blockchain, smart contracts within supply chain systems. This is a relatively new area that looks at how new upcoming disruptive elements can change the way organisations view data storage and the services they provide. His main research work at the moment revolves around the following: Blockchain and supply chain Smart contracts Online security and fraud Social Media Influence Big Data Analytics

Keywords: Analytics; Artificial Intelligence; Data Mining; Supply Chain

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Lisa Jackson

Occupational title:

Professor of Risk and Reliability Assessment

University:

Loughborough University

Research interests: Risk analysis and reliability assessment of safety critical systems and processes, health monitoring including diagnostic and prognostic algorithms, and resilience modelling of transportation networks.

Keywords: Maintenance; Reliability; Risk; Simulation

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Dylan Jones

Occupational title:

Professor of Operational Research

University:

University of Portsmouth

Research interests: Theory and application of multiple objective optimization and the application of decision analytics to healthcare, safety and security, logistics, transportation, finance, renewable energy and sustainability. Goal Programming and its applications.

Keywords: Energy; Goal Programming; Multi-criteria; Multi-objective

Committee: OR Research Committee

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Konstantinos Katsikopoulos

Occupational title:

Professor

University:

University of Southampton

Research interests: My work connects behavioural science with analytics: I employ experiments to understand lay and expert decision making under conditions of radical uncertainty; harvest this understanding to build models of how such decisions should be made; and test multiple models using machine learning methodologies. This approach is enjoying a rare success—our models are accurate and at the same time transparent. My group and I have developed tools for challenging problems such as identifying threats at security checkpoints in Afghanistan while minimising civilian casualties, regulating UK investment banks without curbing financial innovation, and predicting the incidence of influenza in the US more robustly than big data. Such psychologically inspired quantitative models help set high standards of transparency and effectiveness for various approaches, including big data algorithms. With the increasing use of artificial intelligence for decision support, understanding decision rationales is vital, especially in sensitive domains, in future epidemics, and other critical events.

Keywords: Analytics; Artificial Intelligence; Behavioural OR; Decision Analysis

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Martin Kunc

Occupational title:

Professor of Business Analytics

University:

University of Southampton

Research interests: I work on the intersection between management science and behavioural science with emphasis on the use of analytics to support strategic decision making.

Keywords: Analytics; Behavioural OR; Strategic Planning; Systems Thinking

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Adam N. Letchford

Occupational title:

Professor of Analytics and Operational Research

University:

Lancaster University

Research interests: Exact and heuristic algorithms for NP-hard optimisation problems. Applications to vehicle routing and scheduling, facility location, cutting and packing, telecommunications and data mining.

Keywords: Combinatorial Optimisation; Integer Programming; Location; Vehicle Routing

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Banu Lokman

Occupational title:

Senior Lecturer

University:

University of Portsmouth

Research interests: Multi-criteria decision making, multi-objective optimisation, mathematical modelling, clustering and machine learning

Keywords: Artificial Intelligence; Decision Support Systems; Multi-objective; Optimisation

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Manuel López-Ibáñez

Occupational title:

Senior Lecturer

University:

University of Manchester

Research interests: Mathematical and heuristic optimisation in logistics, manufacturing, design, and other real-world applications, including multi-objective optimisation, Bayesian optimisation, interactive optimisation, hyper-parameter optimisation, automatic algorithm selection and AutoML.

Keywords: Evolutionary Algorithms; Metaheuristics; Multi-objective; Optimisation

Committee: OR Research Committee

Knowledge Exchange: Industry

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Azar MahmoumGonbadi

Occupational title:

Early Stage Researcher/PhD

University:

University of Sheffield

Research interests: Circular Economy Supply chain Management Sustainability Closed-loop Supply Chain Optmisation Mathematical modelling

Keywords: Mathematical Programming; Optimisation; Supply Chain; Sustainability

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Website

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