Din-Houn Lau is a Lecturer in Statistics at Imperial College London.
His personal website can be found at: www2.imperial.ac.uk/~fdl06/
et al., Modeling and Forecasting Art Movements with CGANs, Royal Society Open Science, ISSN:2054-5703
et al., 2019, The synthesis of data from instrumented structures and physics-based models via Gaussian processes, Journal of Computational Physics, Vol:392, ISSN:0021-9991, Pages:248-265
et al., Application of data-centric engineering to instrumented infrastructure, International Conference on Smart Infrastructure and Construction
et al., Unsupervised deep learning for instrumented infrastructure: a case study, International Conference on Smart Infrastructure and Construction