Data science platforms and systems

Addressing fundamental challenges in core data science technologies.

Led by Professor Jinjun Chen, this research program addresses fundamental challenges in data preparation and scalable processing technologies on cloud, ranging from underlying data collection, fusion, processing as well as related data privacy.

We explore these challenges in partnership with government and corporations and through international collaboration. Of particular interest are issues around data collection, data preparation and curation, data privacy, cloud computing and data access for applications.

 

Themes


Data Curation and Processing

Our research here includes data preparation, fusion and integration such as fusion from multiple data sources, data quality, scalable data processing on cloud and etc. Our focus is on investigating innovative ways to extract and integrate data intelligence from various data sources and then process them to get ready for analytics. We will also investigate various data processing technologies such as data loss control, compression, scalable computing.

 

Data Privacy

This theme aims to develop efficient and effective methodologies for advanced data privacy protection when we collect and integrate data from multiple sources into open cloud environment. When multiple data sources come together, how to protect privacy there is challenging. This theme aims to develop innovative solutions.

Associated researchers

Go to Professor Jinjun Chen page Professor Jinjun Chen

View Jinjun's full profile

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