Dr Gabriele Pierantoni

I am a Lecturer of Distributed Computing at the School of Computer Science and Engineering and part of the University Research Centre for Parallel Computing (CPC). I hold a PhD in Distributed Computing, and MSc Degree in Electriconic Engineering.
Since I joined UoW and the CPC I have participated to two main EU H2020 projects lead by Prof. Kiss: COLA (Cloud Orchestration at the Level of Application) project that investigates how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created.COLA and ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare) project that focuses on secure cloud-enabled applications in healthcare.
I am also involved in e-Learning projects lead by Dr. Alexander Bolotov: EnAbled, and, more recently STRESSLESS. These projects focus on creating a theoretical learning framework and related digital solutions to support a learning experience capable of encompassing at the same time a variety of different learning resources and the full spectrum of different profiles of students with their inclinations and preferences.
My research focuses on two main areas: parallel and distributed computing technologies (cloud and grid computing) and e-learning.
Regarding the first research interests, I am a member of the University Research Centre for Parallel Computing where I took part in two main EU H2020 projects: COLA (Cloud Orchestration at the Level of Application) project that investigates how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created, and, ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare) project that focuses on secure cloud-enabled applications in healthcare.
To pursue my second research interest (e-learning), I am involved in two projects: EnAbled and STRESSLESS which aim at creating a theoretical learning framework and related digital solutions to support a learning experience capable of encompassing at the same time a variety of different learning resources and the full spectrum of different profiles of students with their inclinations and preferences.
I co-authored more than 20 scientific papers in journals, conference proceedings and as two book chapters.
My main areas of interest
- Cloud orchestration at the level of applications
- Computational workflows
- Analysis of Information Flows through multi-layerer, distributed architectures.
- e-Learning platforms.