DATABASES

By the year 2025, the amount of digital data generated by both humans and machines is expected to reach hundreds of exabytes – that is over a hundred billion gigabytes.​

We design, as well as study, database management systems and techniques that process, store, manage, and update these large amounts of data efficiently and effectively.

WHAT WE DO

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Study various types of databases, and the techniques and programming languages used to manage data.

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Explore techniques and real-world applications that involve data grouping, analysis, and security.

SUB AREAS:

Anomaly Detection

Conceptual Modelling

Data Analysis

Data Analytics

Data Clustering

Databases for Emerging Hardware​

Data Integration

Data Management​

Data Privacy & Security​

Distributed & Parallel Databases​

End-to-End Data Processing & Analytics​

Graph Mining​

Knowledge Graph

Query Processing & Optimisation

Query Reverse Engineering

Social Media Analysis

Spatial-Temporal Data Management​

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OUR RESEARCH PROJECTS

SQLancer: Automatic Testing of Database Management Systems

Manuel RIGGER

SQLancer automatically finds logic bugs in Database Management Systems (DBMSs). We have used SQLancer to find and report over 500 unique, previously unknown bugs in widely-used DBMSs. In addition, SQLancer has been widely adopted in the industry.

  • TRL 9

 

OUR RESEARCH GROUPS