ARCAFF

Active Region Classification and Flare Forecasting

ARCAFF exploits currently available space weather data to train Deep Learning (DL) models to improve forecast accuracy. DL itself is an innovation enabling technology and analysis of the DL models will improve scientific understanding of solar flares. Through the creation of new forecast products, the project will develop and mature new concepts for both scientific and monitoring purposes, following the best practices of meteorological services.

HARPOCRATES

Federated Data Sharing and Analysis for Social Utility

Project HARPOCRATES focuses on setting the foundations of digitally blind evaluation systems that will, by design, eliminate proxies such as geography, gender, race and others and eventually have a tangible impact on building fairer, democratic and unbiased societies. To do so, we are designing several practical cryptographic schemes (Functional Encryption and Hybrid Homomorphic Encryption) for analysing data in a privacy-preserving way. 

PITHIA-NRF

Plasmasphere Ionosphere Thermosphere Integrated Research Environment and Access services: a Network of Research Facilities

PITHIA-NRF aims to build a European distributed network that integrates observing facilities, data processing tools and prediction models dedicated to ionosphere, thermosphere and plasmasphere research. For the first time, PITHIA-NRF integrates on a European scale, and opens up to all European researchers, key national and regional research infrastructures such as EISCAT, LOFAR, Ionosondes and Digisondes, GNSS receivers, Doppler sounding systems, riometers, and VLF receivers, ensuring optimal use and joint development. PITHIA-NRF is designed to provide organised access to experimental facilities, FAIR data, standardized data products, training and innovation services. 

CO-VERSATILE

Adaptive and resilient production and supply chain methods and solutions for urgent need of vital medical supplies and equipment

CO-VERSATILE aims at increasing the adaptation capacity, resilience and flexibility of the European manufacturing sector, focussing on vital medical supplies and equipment to support Europe in improving its response and preparedness to deal with pandemics. CO-VERSATILE builds upon research and innovation industry-driven initiatives to deliver demonstrators of a flexible 48-hour industrial response capability at scale, to cope with sudden spikes in demand of strategic products, for requalification or release of manufacturing settings.

DIGITbrain

Digital twins bringing agility and innovation to manufacturing SMEs by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service

DIGITbrain is an EU innovation program which has the vision to unleash manufacturers' innovation potential through digital twins. DIGITbrain will offer easy access to digital twins to manufacturing companies who will, by their use, be able to rationalise the manufacturing process, make predictions regarding expected machine failures and predict maintenance needs.

ASCLEPIOS

Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare

The vision of ASCLEPIOS is to maximise and fortify the trust of users on cloud-based healthcare services by developing mechanisms for protecting both corporate and personal sensitive data. Within the project CPC leads the investigation and development of three cloud-based real-life healthcare demonstrators, utilising ASCLEPIOS services, to improve stroke acute care, inpatient and outpatient sleep medicine treatment, and antibiotics prescription patterns.

CloudiFacturing

Cloudification of Production Engineering for Predictive Digital Manufacturing

The mission of CloudiFacturing is to optimise production processes and producibility using Cloud/HPC-based modelling and simulation, leveraging online factory data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs, ultimately fostering the vision of Factories 4.0 and the circular economy. To pursue this mission, computationally demanding production engineering and simulation, as well as data analytics tools, are to be provided as cloud services to ease accessibility and make their use more affordable.

COLA

Cloud Orchestration at the Level of Application

The overall objective of the COLA project is that by building on and extending current research results, it defines and provides a reference implementation of a generic and pluggable framework, called MiCADO, that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA demonstrates the applicability and impact of the solution via large scale near operational level SME and public sector pilots and demonstrators, and also defines a clear pathway how the innovation can be delivered to the market.

CloudSME

Cloud-based Simulation Platform for Manufacturing and Engineering

ER-flow

Building a European Research Community through Interoperable Workflows and Data

SCI-BUS

Scientific Gateway-based User Support

IDGF-SP

International Desktop Grid Federation - Support Project

VENUS-C

Virtual Multidisciplinary Environments using Cloud Infrastructures

Cloudbursting

Optimal Scheduling of Scientific Application Workflows for Cloud-Augmented Grid Infrastructures

SHIWA

Sharing Interoperable Workflows for Large-scale Scientific Simulations on Available DCIs

EDGI

European Desktop Grid Initiative

DEGISCO

Desktop Grids for International Scientific Collaboration

EDGeS

Enabling Desktop Grids for e-Science

ProSim

Protein Molecule Simulation on the Grid

Cloud Computing Distributed Infrastructure

The University of Westminster Cloud Cluster is the latest and most flexible computing resource offered by the School of Electronics and Computing. This extremely powerful platform addresses both teaching and research computing demands from within the university. It currently supports European projects and external research collaborations. The EC2 and S3 compatible "Amazon like" interface makes it very easy to use and accessible for everyone.

High-Performance Cloud Application Support Service

The Centre for Parallel Computing (CPC) offers a generic support service to users and collaborators based on P-GRADE. The objectives of the service are:

  • To enable users with compute- and data-intensive applications to benefit from high performance cloud computing through the P-GRADE toolset
  • To analyse, enable and prototype intensive user applications on high performance cloud- and grid-based infrastructure
  • To provide technical support to high performance cloud service providers for P-GRADE installation and advanced features, and underlying cloud- and grid-based infrastructure
  • To provide training, research and development