Dr Marc Roper

Professor

Computer and Information Sciences

Personal statement

My research is primarily focused on the area of software engineering, and in particular the development and evaluation of techniques to support the construction and evolution of more reliable and robust software systems. A common theme in much of this work is the application of machine learning to software engineering problems; for example, to automatically generate program test data, predict software project costs, perform intrusion detection, identify the root location of faults within systems, and automatically detect software system failures. The latter of these in particular makes extensive use of a range of both semi-supervised and unsupervised (clustering) machine learning algorithms to detect anomalous entries in large very high-dimensional and complex data sets. More recently I have also been turning my attention to the converse problem of testing AI systems.

My expertise and interests in machine learning extend outside the software engineering domain and I have employed clustering and classification algorithms in a variety of other contexts such as the automatic identification of potential road accident blackspots from crowdsourced smartphone sensor data, and the detection of objects within images.

I also have extensive experience of using machine learning in a variety of industrial projects such as forecasting customer buyer behaviour, predicting building energy performance, and modelling interventions to combat sedentary behaviour.

Expertise

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Area of Expertise

Software Engineering (particularly design, testing and debugging)
Data Analytics
Machine Learning
Conducting empirical studies of software engineering techniques and processes
Search-based software engineering
Software analytics (static analysis, dynamic analysis and repository mining)

Prize And Awards

Best paper award: Recipient; 21/9/2023

More prizes and awards

Publications

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Publications

Decision support in cardiac surgery : early exploration of requirements with cardiac anesthetists and surgeons: Lapp Linda, Bouamrane Matt-Mouley, Roper Marc, Kavanagh Kimberley, Schraag Stefan; Digital Health and Informatics Innovations for Sustainable Health Care Systems 34th Medical Informatics Europe Conference Studies in Health Technology and Informatics Vol 316, pp. 1827-1831 (2024); https://doi.org/10.3233/shti240786
Predictive data analytics in telecare and telehealth : systematic scoping review: Anderson Euan, Lennon Marilyn, Kavanagh Kimberley, Weir Natalie, Kernaghan David, Roper Marc, Dunlop Emma, Lapp Linda; Online Journal of Public Health Informatics Vol 16, pp. 37-50 (2024); https://doi.org/10.2196/57618
SHEPHERD : a digital blueprint for drone based logistic networks: Filippi Gianluca, Patelli Edoardo, Basu Tathagata, Personage Ben, Maddock Christie, Fossati Marco, Roper Marc, Vasile Massimiliano; 34th European Safety and Reliability Conference. , pp. 77-86 (2024)
Development and validation of a digital biomarker predicting acute kidney injury following cardiac surgery on an hourly basis: Lapp Linda, Roper Marc, Kavanagh Kimberley, Schraag Stefan; JTCVS Open Vol 16, pp. 540-581 (2023); https://doi.org/10.1016/j.xjon.2023.09.023
The cost of quality of service : SLA aware VNF placement and routing using column generation: Murray Andrew, Arulselvan Ashwin, Roper Marc, Cashmore Michael, Mohalik Swarup Kumar, Burdick Ian, David Sushanth; Proceedings of 2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM) 13th International Workshop on Resilient Networks Design and Modeling
International Workshop on Resilient Networks Design and Modeling (RNDM) (2023); https://doi.org/10.1109/RNDM59149.2023
Dynamic prediction of patient outcomes in the intensive care unit : a scoping review of the state-of-the-art: Lapp Linda, Roper Marc, Kavanagh Kimberley, Bouamrane Matt-Mouley, Schraag Stefan; Journal of Intensive Care Medicine Vol 38, pp. 575-591 (2023); https://doi.org/10.1177/08850666231166349

More publications

Teaching

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Teaching

Over my career I have taught a lare range of classes, from 1st year undergraduate to postgraduate, mainly on areas related to programming, software engineering, software design, data analytics and machine learning.

My main current teaching responsibilities are:

CS409: Software Architecture and Design (jointly with Dr. Murray Wood) [syllabus and myplace page]
CS547: Advanced Topics in Software Engineering [syllabus and myplace page]
CS971: Evolutionary Computation For Finance [syllabus and myplace page]
CS985/CS985 (Fundamentals of) Machine Learning for Data Analytics [syllabus and myplace page]