Dr Khin Lwin

Research Fellow

Anglia Ruskin IT Research Institute

Faculty:Faculty of Science & Technology

Location: Chelmsford

Dr Khin Lwin's research interests focus on the interdisciplinary studies between computer science, operational research and artificial intelligence for the applications of modelling, search and optimization techniques to tackle constrained combinatorial problems to underpin the development of intelligent decision support systems across a wide range of real-world applications.

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khin.lwin@anglia.ac.uk

Background

She has also been awarded the Springer Science and Business Media Prize, the University Prize for Academic Excellence and the International Research Excellence Scholarship from Springer and the University of Nottingham in 2010. She had also worked as a software engineer at Halliburton in Tewkesbury, UK.

Research interests

  • Big Data Analytics
  • Machine Learning and Data Mining
  • Cyber Security –Malwares/Ransomwares Detection, Insider Threat Detection, Malwares in IoTs
  • Innovative IoTs and Smart Cities Applications
  • Intelligent Decision Support System
  • Portfolio Optimization
  • Multi-objective Optimization
  • Evolutionary Algorithms
  • Heuristic and Meta-heuristics

Qualifications

  • PhD, University of Nottingham, UK

Selected recent publications

Lwin, K., Qu, R., & Kendall, G. (2014). A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. Applied Soft Computing, 24, 757-772.

Lwin, K., & Qu, R. (2013). A hybrid algorithm for constrained portfolio selection problems. Applied Intelligence, 39(2), 251-266.

Lwin, K., Qu, R. and Zheng, J. (2013). Multi-objective Scatter Search with External Archive or Portfolio Optimization, 5th International Conference on Evolutionary Computation Theory and Applications (ECTA 2013), pp. 111-119.

Recent presentations and conferences

Khwanpheng, S., Lwin, K. T., Chaisricharoen, R. and Temdee, P. (2015). Collaborative crosschecking system of observed loss estimation for disaster relief management. In 2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA2015), pp. 1-5, IEEE, 2015, 15-17 December, Kathmandu, Nepal.

Lwin, K., Qu, R. and Zheng, J. (2013). Multi-objective scatter search with external archive for portfolio optimization. 5th International Conference on Evolutionary Computation Theory and Applications (ECTA2013), pp. 111-119, 2013, Vilamoura, Algrave, Portugal.