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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Tel: +44 23 8059 2561

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ORCID

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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Tel: +44 2380 597146

Google Scholar

ORCID

Dr Erica Mulowayi

Senior Teaching Fellow

Research interests

Dr Erica research contributions have been those on topics related to: Post-disaster Recovery, Disaster Resilience, Integrated Project Delivery (IPD) approach to disaster recovery, Inter- organisational characteristics of resilience in a post-disaster recovery context, Elements of infrastructure interdependencies in the post-disaster recovery effort, Project and Construction management research etc.
Her most widely read publications are those provided below:
Mulowayi, E., Walker, D. (Ed.), Rowlinson, S. (Ed.). (2020). Routledge Handbook of Integrated Project Delivery. London: Routledge, https://doi.org/10.1201/9781315185774Mulowayi, E., Coffey, D. V., Bunker, J., & Trigunarsyah, B. (2015). Inter-organisational characteristics of resilience in a post-disaster recovery context. In The 5th International Conference on Building Resilience (pp. 383-395). NCP (2015). http://eprints.qut.edu.au/86936/Mulowayi, E., Coffey, V., Bunker, J. M., & Trigunarsyah, B. (2015). The influence of critical infrastructure interdependencies on post-disaster reconstruction: Elements of infrastructure interdependency that impede the post-disaster recovery effort. In Association of Researchers in Construction Management (ARCOM) Proceedings of the 31st Annual Conference (pp. 135- 144). University of Reading.Mulowayi, E., Coffey, V., & Trigunarsyah, B. (2014). Framework for assessing the influence of critical infrastructure interdependencies in post-disaster reconstruction management.In Smart, Sustainable and Healthy Cities: The First International Conference of The CIB Middle East and North Africa Research Network (CIB-MENA 2014) (pp. 747-759). CIB-MENA. http://eprints.qut.edu.au/86935/

Accepting applications from PhD students

Connect with Erica

Email: [email protected]

Tel: +44 7426 956635