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Data Analysis
Centre for Intelligent Multidimensional Data Analysis
Unleashing Innovation Requires New Methodologies for Big Data Analysis
The key to breakthrough is to place strong and innovative engineers and mathematicians with track records for breakthroughs together with this common goal — I am very excited at this unique opportunity.
Prof. Terence Lyons
Wallis Professor of Mathematics at the Mathematical Institute, University of Oxford, UK.
Unleashing Innovation Requires New Methodologies for Big Data Analysis
Big data analysis is currently one of the most active research fields in academia and industry, possessing tremendous potential to deliver a great variety of benefits to specific industries and society as a whole. Although incremental advancement can be made in data analysis based on traditional numerical analysis tools, it is imperative to have turnkey solutions with the support of fundamental theories to deal with multidimensional data arrays, or tensor data.
To tackle this huge challenge, the Centre for Intelligent Multidimensional Data Analysis is developing novel theories, new algorithms, and conducting both software and hardware design, which can lead to breakthrough innovations for industry. The Centre brings together top researchers locally and internationally from multi-disciplinary areas, including mathematics, computer science, electrical engineering, and biology, to develop innovative technologies benefiting industry and society. It aims to become one of the world’s best research centres in the areas of data science, engineering and artificial intelligence.
There is still much research to be conducted before new theories for tensor computing and efficient implementation on parallel processors can be developed to solve challenging big data analysis problems, translate innovative technologies to industry and make their products competitive.
The Centre Director, Prof. Hong Yan, expresses that every technology breakthrough has relied on key methodologies throughout history. It is an ambitious project. We believe breakthroughs in the science and technology of big data analysis can only be made if we address fundamental outstanding problems. By joining the InnoHK initiative, we can attract talented researchers locally and internationally to develop novel theories and computational methods to solve existing problems in big data analysis.
At the Centre, researchers will work on both theories and practical applications of multidimensional data analysis. Key research programmes include:
- Mathematical foundations: tensor and hypergraph theories and data representation methods
- Computer algorithms: machine learning, co-clustering and fast implementation
- Software and hardware design: software/hardware modules and parallel processors
- Data analysis applications: image/video and biomedical data analysis
Project team members
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Professor Hong YanWong Chun Hong Professor of Data Engineering and Chair Professor of Department of Electrical Engineering, City University of Hong Kong
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Professor Coralia CartisProfessor in Numerical Optimization of Mathematical Institute, University of Oxford
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Professor Min XieChair Professor of Department of Advanced Design and Systems Engineering and Chair Professor and Affiliate of School of Data Science, City University of Hong Kong
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Professor Terence LyonsWallis Professor of Mathematics, University of Oxford
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Dr Chak Chung Ray CheungAssociate Professor of Department of Electrical Engineering, City University of Hong Kong
In this project
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