Our experts have been involved in the preparation, execution and coordination of a number collaborative activities. The selection below illustrates some of them.
ENACT Project
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 101135423
With a consortium of 16 partners from 9 European countries, ENACT seeks to innovate cloud technologies for enhanced performance, scalability, and reliability. By bridging the gap between cloud and edge computing, ENACT aims to empower industries with efficient and adaptable computing infrastructure to meet evolving demands for efficient and intelligent content and data processing.
Further information about the project can be found on project Website and the following other Social Media Accounts:
- X: https://twitter.com/ENACT_horizon
- LinkedIn: https://www.linkedin.com/in/enact-horizon-1798122b8/
- Youtube: https://www.youtube.com/@ENACT-INNO
MobiSpaces Project
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 101070279.
It will deliver a data governance platform, focusing on mobility data, with emphasis on data security, privacy and trustworthiness, efficient and green data processing, seamless data exchange and interoperability.
Click on this link to find out more about the MobiSpaces project.
RoBétArmé Project
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101058731
A large consortium of 19 partners from 12 Member States will work together to deliver a human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills.
Click on this link to find out more about the RoBétArmé project.
TeamCreator@EFPF Project
The main objective of the Team Creator module is to provide a digital platform where companies can find suitable partners and develop new business relationships. Click on this link to find out more about the EFPF project and our product.
iHelp – Personised Assessment and Management of Health Risks using AI
iHELP will use advance AI and decision support techniques to analyse health-related data in order to provide early identification and mitigation of the risks associated with Pancreatic Cancer. Close collaboration between clinical and AI experts will focus on drawing decision support from the prevention and intervention models against identified/predicted risks and providing personalised recommendations. We are to ensure the software produced by iHelp is user-friendly and “sticky”, avoiding the usual loss of interest by users in our health application after a few days. We will use a combination of user-centred design and personalised nudge messages develop through our collaborative research with University of Manchester.
DIGICOR – Decentralised Agile Coordination Across Supply Chains
DIGICOR develops novel collaboration concepts and implements an integrated platform that significantly reduce the burden to setup production networks and collaboration between SMEs. In particular the project addresses the integration of non-traditional, small but innovative companies or service providers into the complex supply chain of large OEMs. By providing relevant technology support at one place, the DIGICOR Collaboration Platform will shorten the time to jointly respond to business opportunities and simplify the management and control of the production and logistics networks.
ARUM – Adaptive Production Management
ARUM aims to develop mitigation strategies to respond faster to unexpected events. It is based on a new generation of service orientated enterprise information platforms, a service orientated bus integrating service-based architecture and knowledge-based multi-agent systems (MAS). A holonic MAS combined with a service architecture improves performance and scalability beyond the state of the art. ARUM solution integrates multiple layers of sensors, legacy systems and agent-based tools for beneficial services like learning, quality, risk and cost management. Additionally the ecological footprints will be reduced.
The ARUM solution will run in two modes: predictive and real time simulation. The predictive mode supports the planning phase whereas the real-time operations mode supports dynamic, time-, cost- and risk-oriented re-planning of operations. The provision of information for engineering to alter in case of immaturity or late requests for changes is supported equally.
MODUM – Models for Optimising Dynamic Urban Mobility
This €3m EC-funded project has developed an Android application which works with a sophisticated back-end system to optimize traffic through Nottingham and Sofia.
HOPE – Holistic Personal public Eco-mobility
In collaboration with our partners InfoHub, Hope takes further the results of MODUM and integrates them within a smart ticketing system in Coventry. IS4DE is involved in modelling processes and providing intelligent route-optimizing software.
SOA4ALL – Service Oriented Architectures for All
SOA4ALL delivers a comprehensive framework and infrastructure that integrates four complimentary and revolutionary technical advances into a coherent and domain independent service delivery platform, using web principles and technology as the underlying infrastructure for the integration of services at a world wide scale, web 2.0 as a means to structure human-machine cooperation in an efficient and cost-effective manner, semantic web technology as a means to abstract from syntax to semantics as required for meaningful service discovery, context management as a way to process in a machine understandable way user needs that facilitates the customization of existing services for the needs of users.
COMMIUS – Community-based Interoperability Utility for SMEs
Commius aims to deliver an adaptable and customisable software prototype, providing SMEs with “zero-cost of entry” into interoperability using the ideas behind the Interoperability Service Utility. Commius builds such an interoperability solution for SMEs, allowing them to reuse existing and familiar applications for electronic communication.
Investigation of the use of Machine Learning in Electronic Trading
Our experts collaborate with Plato Partnerships to study the use of Machine Learning by some of the biggest investment banks and financial software platforms in the UK and USA. We use the findings to create a framework of Machine Learning applications, which feeds into our training courses on Machine Learning and Artificial Intelligence.