Dr Marc Roper


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.

Back to staff profile

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

More prizes and awards

Back to staff profile


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)
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)
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)
Beyond the clinic : maximum free-living stepping as a potential measure of physical performance
Speirs Craig, Dunlop Mark D, Roper Marc, Granat Malcolm
Sensors Vol 23 (2023)
A column generation approach to correlated simple temporal networks
Murray Andrew, Arulselvan Ashwin, Cashmore Michael, Roper Marc, Frank Jeremy
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling The Thirty-Third International Conference on Automated Planning and Scheduling Proceedings of the International Conference on Automated Planning and Scheduling Vol 33, pp. 295-303 (2023)
Definition and classification of postoperative complications after cardiac surgery : a pilot Delphi study
Lapp Linda, Bouamrane Matt-Mouley, Roper Marc, Kavanagh Kimberley, Schraag Stefan
JMIR Perioperative Medicine Vol 5 (2022)

More publications

Back to staff profile


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:

I am also responsible for overseeing the MEng final year group project:

Back to staff profile

Research Interests

  • Software engineering
  • Machine Learning

Professional Activities

Chief External Examiner, Heriot-Watt University, School of Mathematical and Computer Science
Clinical Trials Data Workshop
IEEE International Conference on Artificial Intelligence Testing (AITest)
IEEE International Conference On Artificial Intelligence Testing (AITest)
IEEE International Conference on Artificial Intelligence Testing (AITest)
External Examiner for PGT programme, Department of Informatics, King’s College London,

More professional activities


KTP - Coolside Ltd t/a Trtl. Development of a platform to proactively determine and address ongoing counterfeiting and unauthorised product distribution
Roper, Marc (Principal Investigator) Dickson, Alexander (Co-investigator) Wallace, William (Co-investigator)
01-Jan-2022 - 28-Jan-2025
AI and blockchain for construction, mining and infrastructure companies - Hypervine / Data Lab
Roper, Marc (Principal Investigator) Roberts, Jen (Co-investigator)
01-Jan-2022 - 31-Jan-2022
Providing confidence to encourage active travel through the application of AI
Dunlop, Mark (Principal Investigator) Roper, Marc (Co-investigator)
01-Jan-2020 - 28-Jan-2021
Maths DTP 2020 University of Strathclyde | Murray, Andrew
Roper, Marc (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Murray, Andrew (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
KTP - Maru Syngro
Barlow, Euan (Principal Investigator) Revie, Matthew (Co-investigator) Roper, Marc (Co-investigator)
15-Jan-2018 - 14-Jan-2020
Optimising Industrial Service Workforces using Mobile App Data
Roper, Marc (Principal Investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator)
01-Jan-2018 - 01-Jan-2019

More projects

Back to staff profile


Dr Marc Roper
Computer and Information Sciences

Email: marc.roper@strath.ac.uk
Tel: 548 2956