Journal Articles

  1. & Machine Learning as a universal tool for quantitative investigations of phase transitions. Nuclear Physics B 944, 114639
  2. & Segmentation and generalisation for writing skills transfer from humans to robots. Cognitive Computation and Systems 1(1), 20-25.
  3. & A robust design of an innovative shaped rebar system using a novel uncertainty model. Structural and Multidisciplinary Optimization 58(4), 1351-1365.
  4. & Optimisation process for robotic assembly of electronic components. The International Journal of Advanced Manufacturing Technology
  5. & Risk based uncertainty quantification to improve robustness of manufacturing operations. Computers & Industrial Engineering 101, 70-80.
  6. & A quality correlation algorithm for tolerance synthesis in manufacturing operations. Computers & Industrial Engineering 93, 1-11.
  7. & Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries. International Journal of Knowledge and Systems Science 6(3), 18-37.
  8. & A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering 72, 217-229.
  9. A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects. Computers in Industry 64(5), 514-523.

Conference Contributions

  1. (2017). A framework for improving process robustness with quantification of uncertainties in Industry 4.0. Presented at INnovations in Intelligent SysTems and Applications (INISTA), 2017 IEEE International Conference on,, 189-194. doi:10.1109/INISTA.2017.8001155
  2. (2014). Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry. Presented at CIE44 & IMSS'14 Proceedings, Istanb: CIE44 & IMSS'14.