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