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Security Intelligence

Big Data Description Here...Discover now

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Platform and Architecture

Software Security Intelligence Description Here...Discover now

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Citizen Big Data Analytics

Socio-Technical Description Here...Discover now

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TIPS

TIPS Description Here...Discover now

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Human Centricity / Social Technical

Software System & Security Integration's Description Here ...Discover now

CREST has collaboration with government and industry.

Our Key Collaborators

Our Works

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At CREST researchers are leveraging existing software engineering, analytical reasoning, natural language processing and machine learning tools and techniques to develop a secure and integrated platform. Our aim is to help build a secure and integrated platform that is easy to use and evolve with the changing threat landscape and increase the operation efficiency of the cybersecurity team.

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Automatic Parameter Tuning for Big Data Analytics Frameworks
Automatic Parameter Tuning for Big Data Analytics Frameworks
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Big Data Cloud Platform
Big Data Cloud Platform
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Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases & Big Data Analytical frameworks
Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases & Big Data Analytical frameworks
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Database Configuration, Workload parametrizations, and Cloud Configuration Tuning
Database Configuration, Workload parametrizations, and Cloud Configuration Tuning
diagram
Performance evaluation of Big Data Analytical frameworks in hybrid clouds
Performance evaluation of Big Data Analytical frameworks in hybrid clouds
Machine Learning
Enhancing Security Data Quality with Human-Centric Visualization and Machine Learning
Enhancing Security Data Quality with Human-Centric Visualization and Machine Learning
Machine Learning
Multi-Language Vulnerability Detection
Multi-Language Vulnerability Detection
Machine Learning
Supporting the Effective Use of Security APIs by Developers
Supporting the Effective Use of Security APIs by Developers
Machine Learning
Maintaining ML4CI test case prioritization models through using data drift detection
Maintaining ML4CI test case prioritization models through using data drift detection
Machine Learning
Qualitative and Quantitative Software Vulnerability Analytics Using Open-Source Data
Qualitative and Quantitative Software Vulnerability Analytics Using Open-Source Data
Machine Learning
Enhancing automatic program repair via large language model
Enhancing automatic program repair via large language model

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BLOGS

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Pursue your passion and work alongside world-recognized leaders in the field of software engineering. We invite you to view current employment opportunities, learn about benefits of working at the CREST, and apply for a position.

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Room 4.54, Ingkarni Wardli, North Terrace, The University of Adelaide, SA, Australia

ali.babar@adelaide.edu.au

+61 8 8313 4478

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