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Personal profile

Academic Biography

Dr Khin Lwin is currently a Principal Lecturer (Research & Innovation) in School of Computing and Digital Technologies, Teesside University.  Previously, Dr Lwin has worked as a Senior Lecturer, Senior Research Fellow, Research Fellow (Anglia Ruskin University), Teaching Assistant (University of Nottingham) and Software Engineer (Halliburton).  

Khin holds B.Sc.(Hons) and Ph.D degrees in Computer Science from University of Nottingham.  Khin has received various awards (the Springer Science and Business Media Prize, the University Prize for Academic Excellence) and scholarships  (the International Research Excellence Scholarship and University of Nottingham PhD Scholarship).

Dr Lwin's research focus on the interdisciplinary studies between computer science and operational research for the application of modelling, search and optimisation techniques and data-driven algorithms to underpin the development of intelligent decision support systems across a wide range of real-world challenging problems.

Summary of Research Interests

  • Computational Intelligence;
  • Artificial Intelligence (including Explainable AI (XAI));
  • Machine Learning; Deep Learning; Reinforcement Learning; Transfer Learning;
  • Intelligent Decision Support Systems; Mobile-enabled Expert Systems;
  • Multi-objective Optimization; 
  • Nature-Inspired Algorithms;
  • Heuristics; Meta-heuristics;
  • Natural Language Processing; 
  • Big Data Analytics (Sentiment Analysis);
  • Cybersecurity (Phishing, Personalised Training & APT);
  • Gamification Techniques;
  • Health Care Applications (mHealth, Diagnosis & Personalised Lifestyle Managment)
  • Innovative AR, VR and Smart Cities Applications;

Research Projects & External Funding

  • Adaptive Learning for Zero Defects, ISCF, £ 192,647, PI; 
  • Risk2Click, SETsquared, £35,000. (PI);
  • Intelligent Optimal Design & Modelling using AR & VRKTP Innovate UK, £174,375. (PI); 
  • AI-enabled Patient Health Management System,  KTP Innovate UK , £175,000. (Co-I);
  • Risk2ClickKTN Innovate UK £16,000. (Co-I);
  • TB-Test,  Newton Institutional Link, £129,617. (Co-I).
  • Urban Nexus: Intelligent Modelling & Big Data Mapping for the Analysis of Connectivity & Regeneration of European Cities, EUR 140,000. (Co-I); 

PhD and Research Opportunities


 Previous PhDs:

  • Marzia Tania Hoque;
  • Md. Mahmul Hassan; 
  • Moruf Adebowale;

Education/Academic qualification

PhD, University of Nottingham

Bachelor, University of Nottingham

Fingerprint Dive into the research topics where Khin Lwin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2013 2019

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization

Lwin, K., Qu, R. & Kendall, G., Nov 2014, In : Applied Soft Computing Journal. 24, p. 757-772

Research output: Contribution to journalArticle

Open Access
Constrained optimization
Evolutionary algorithms
62 Downloads (Pure)

Mean-VaR portfolio optimization: A nonparametric approach

Lwin, K., Qu, R. & MacCarthy, B. L., 16 Jul 2017, In : European Journal of Operational Research. 260, 2, p. 751-766

Research output: Contribution to journalArticle

Open Access
Portfolio Optimization
Value at Risk
Mean Value
Hybrid Evolutionary Algorithm
71 Downloads (Pure)

Advances in crowd analysis for urban applications through urban event detection Authors

Kaiser, M. S., Lwin, K., Mahmud, M., Hajializadeh, D., Chaipimonplin, T., Sarhan, A. & Hossain, A., 3 Oct 2018, In : IEEE Transactions on Intelligent Transportation Systems. 19, 10, p. 3092-3112

Research output: Contribution to journalArticle

Open Access
Ubiquitous computing
Electric fuses
Unmanned aerial vehicles (UAV)
Application programming interfaces (API)
99 Downloads (Pure)

Advances in automated tongue diagnosis techniques

Hoque Tania, M., Lwin, K. & Hossain, A., 1 Mar 2019, In : Integrative Medicine Research. 8, 1, p. 42-56

Research output: Contribution to journalArticle

Open Access
Point-of-Care Systems
Chinese Traditional Medicine
Primary Health Care

Clustering and Classification of a Qualitative Colorimetric Test

Hoque Tania, M., Lwin, K. T., Shabut, A. M. & Hossain, A., 7 Mar 2019, Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018. Excell, P. S., Ali, M., Jones, A., Soomro, S. & Miraz, M. H. (eds.). Institute of Electrical and Electronics Engineers Inc., 5 p. 8658480. (Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Multilayer neural networks