Dr Alexandra Brintrup
University Lecturer in Digital Manufacturing
Alexandra is a Lecturer in Digital Manufacturing and is leading the Manufacturing Analytics Research within DIAL. She is a fellow of Darwin College.
Having trained as a manufacturing systems engineer and then embarking on a research career in Artificial Intelligence, she is fascinated by the merger of the two. Her research interests include:
- Predictive Data Analytics and Machine Learning in Manufacturing, especially for predicting and handling uncertainty in manufacturing
- Development of automated and scalable optimisation and distributed decision making technologies, particularly with nature-inspired algorithms and Multi-agent Systems
- Identification of emergent patterns in manufacturing and industrial systems, particularly in relation to robustness, resilience and quality outcomes
Alexandra is currently accepting PhD applications.
Alexandra obtained her PhD from Cranfield University for her work in Genetic Algorithms. She then worked at the ABN AMRO Bank as a quantitative analyst, before joining DIAL for her postdoctoral studies in multi-agent systems in manufacturing. She was later appointed as research fellow at the Complex Agent Based Dynamic Networks (CABDyN) research centre at the University of Oxford, where she studied supply chains from a complex networks perspective. Between 2012-2015 she was a University Lecturer at Cranfield University. She joined the Institute for Manufacturing in 2015.
Over the past decade Alexandra has advised policy makers, served in a number of scientific committees, and worked with Boeing, Rolls Royce, Jaguar Land Rover, Suzuki and Procter and Gamble on a variety of projects in these areas. She is a member of the All Party Parliamentary Group in Data Analytics, CASN-RA, and IEEE.
Brintrup A., Barros J., Ledwoch A. (2016), Topological analysis of robustness in the global automotive industry, Logistics Research, 9:1, doi: 10.1007/s12159-015-0128-1
Brintrup A., Tiwari A. (2015), Emergence of nested patterns in supply networks: implications for robustness, IEEE Systems, doi: 10.1109/JSYST.2015.2493345
Brintrup A., Wang Y., Tiwari A. (2015), Supply networks as complex systems: a network science based characterization, IEEE Systems, doi: 10.1109/JSYST.2015.2425137
Meyer, M., Brintrup A., Windt, K. (2014). Linking Product and Machine Network Structure Using Nested Pattern Analysis. CIRP, 17, 278-283.
Kruse S., Brintrup A., Sanchez T., Owens K. (2013), Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services, IEEE Trans. on Computational Intelligence and AI in Games, 5(1): 15-32.
Brintrup A., McFarlane D., Owens K. (2012), Will intelligent assets take off? Towards self-serving aircrafts, IEEE Intelligent Systems, 25(3):66-75.
Brintrup A. (2011), Multi-agent, multi-role, and multi-objective supply chain optimisation, J. of Computers in Industry, 61(7): 636-645.
Kuerschner C., Brintrup A., Thiesse F., Bowman P., Dubach E. (2010), Development of an RFID-based track and trace system: experiences and lessons learned from a confectionary manufacturer, accepted for publication, Pacific Asian J. of Information Systems.
Brintrup A., Ranasinghe D., McFarlane D. (2010), RFID Opportunity Analysis Toolset for Lean Manufacturing, International Journal of Production Research, 48(9): 2745 - 2764.
Brintrup A., Ranasinghe D. (2008), Organising Industrial Knowledge Dissemination on Frontier Technologies, European J. Engineering Education, 33(4):471-481.
Brintrup A. (2008), Recent Patents using Interactive Evolutionary Computation: a Short Review, Recent Patents in Computer Science, 1(2):93-97.
Brintrup A., Ramsden J., Tiwari A. (2008), Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithms, IEEE Transactions in Evolutionary Computation, 12(3):343-354.
Brintrup A., Ramsden J., Tiwari A., An Interactive Genetic Algorithm Based Framework for Handling Qualitative Criteria in Design Optimization, J. of Computers in Industry, 58(3):279-291, 2007.
Brintrup A., Ramsden J., Tiwari A., Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems, J. of Biological Physics and Chemistry, 6:137-146, 2006.
Brintrup A., Tiwari A., Gao J., A Framework for Handling Qualitative and Quantitative Data in an Evolutionary Multiple Objective Design Space, Int. J. of Computational Intelligence, Enformatica, 1(4):282-289, 2005.