Centre for Operational Research, Management Science and Information Systems (CORMSIS)

Our people

Learn more about our team and their expertise in specific areas of risk, optimisation, finance and health.

Dr Agnieszka Stefaniec PhD

Lecturer B in Management Science

Research interests

  • Shared mobility
  • Climate change
  • Transport applications of operational research

Accepting applications from PhD students

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Professor Alain Zemkoho

Professor of Mathematical Optimization

Research interests

  • Bilevel and hierarchical optimization
  • First and second order numerical methods for continuous optimization
  • Nonsmooth and nonconvex optimization

Accepting applications from PhD students

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Professor Behzad Hezarkhani

Professor in Operations Management

Research interests

  • Supply Chain Management
  • Logistics and Transportation
  • Mechanism Design and Contracting

Accepting applications from PhD students

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Dr Bismark Singh PhD, SMIEEE, AFORS, FIMA

Associate Professor

Research interests

  • Stochastic optimization, particularly chance constraints.
  • Applications to public health, renewable energy, and sustainability.

Accepting applications from PhD students

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Dr Carlos Lamas Fernandez

Associate Professor

Research interests

  • Operational Research
  • Cutting and Packing
  • Vehicle Routing

Accepting applications from PhD students

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Emeritus Professor Chris Potts

Research interests

  • Combinatorial Optimization, especially scheduling in production and transport
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Dr Christina Saville MSc, PhD, AFORS

Senior Research Fellow

Research interests

  • Safe staffing
  • Operational research techniques applied to healthcare
  • Health workforce
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Professor Christine Currie

Professor of Operational Research

Research interests

  • Simulation optimisation
  • Healthcare management
  • Decision making under uncertainty

Accepting applications from PhD students

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Professor Christophe Mues

Prof of Data Science and Info Systems

Research interests

  • Much of his research involves applications of predictive and prescriptive analytics in the area of credit scoring and consumer credit risk modelling. For example, he has researched advanced statistical or machine learning methods to predict Probability of Default (PD), Loss Given Default (LGD), i.e. the proportion of a loan that a lender is unable to recover if the borrower defaults, credit card balance at default, time to default (using survival analysis), and loan profitability.

Accepting applications from PhD students

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Dr Edilson Arruda

Associate Professor

Research interests

  • Healthcare modelling and optimisation
  • Optimisation under uncertainty
  • Markov decision processes

Accepting applications from PhD students

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