Keynote address: Data engineering meets health

Data Engineering promotes an engineering approach to anlyse big “imperfect” data by creating and using new smart algorithms such as Unsupervised Deep Learning, appropriate electronic hardware platforms and mechanical/mechatronic/material/ chemical-based approaches to interrogate and acquire missing data or information. The talk will focus on this paradigm and provide example algorithms and applications from the health sector, for example, neural engineering research on epilepsy and other brain deceases, biomechanical approaches and bioinformatics approaches attempting to find solutions to hard problems in cancer genomics, plat metabolomics, virus detection and drug characterization introducing about 10 on-going PhD projects. Other applications of data engineering, for example, operational optimization of smart grids and business analytics will also be briefly presented. At the conclusion of the talk information about the UGC-University of Melbourne Elite PhD program will also be provided.