Security and privacy for ageing in place
Due to the significant advances achieved in medical knowledge and healthcare delivery, the world’s aging population has been growing considerably in the last decade. An aging population means increased spending in healthcare, pension, and social benefits programs. To...
Secure predictive healthcare delivery through federated machine learning
The last decade has witnessed tremendous progress in digital healthcare delivery. This has led to the collection or generation of huge amounts of data, some of which have been released to the public for researchers to advance and find new cure and treatments and...
Security and privacy for precision health
Precision medicine is an emerging approach for disease treatment and prevention by delivering personalized care to individual patients taking into consideration their personal circumstance in terms of genetic makeup, environment, and lifestyle. Advancement in...
Visualization aided anomaly detection
This project introduces UN-AVOIDS, an unsupervised and nonparametric approach that combines in a coherent and seamless model both visualization (a human process) and detection (an algorithmic process) of outliers. The main aspect of novelty of UN-AVOIDS is that it...
Threat detection and analysis using large graphs
The project objective is to investigate current and new attack vectors using data from both the traditional security ecosystem and beyond the organization perimeter. Beyond the organization perimeter, there is a wide variety of Internet infrastructure data maintained...