Eliminating digital obsolescence

Date: Collaborators: Docs: Tags: Within this H2020 proposal we aimed at transforming a SW tool for preserving digital art into the first and only computing environment for comprehensive digital preservation. With little technical risk, the system would be extended and adapted in order to become the first rapid-deployment solution for supporting digital preservation and obsolescence-avoidance tasks from an integral perspective, offering an out-of-the-box and no-maintenance product. In parallel, a more ambitious version of the service will be developed to cover the security and regulatory requirements of key strategic sectors (aerospace and energy industries), offering a standardised but industry-tailored solution for their particular digital obsolescence problems. Back to All Projects

Collaborative management

Date: Collaborators: Docs: Tags: I was told to write a technical report and market analysis on the first and only digital workspace for a global and integral collaborative management support, for an European Commission’s H2020 programme. The system includes within the same product all the necessary tools and functionalities to completely manage any kind of business. With its multi-device single-point-of-access and an impressive User eXperience (UX) design, it ensures ubiquitous communication between team members and an always up-to-date operability. Companies do not only save time and money by applying its collaborative management techniques, but also by approaching them from a single and integrated tool. Back to All Projects

Prescription errors alerting system

Date: Collaborators: Docs: Tags: Within this I’ve been involved in writing a technical report and market analysis on an innovative patient-specific Clinical Decision Support System (CDSS) for the European Commission’s H2020 programme. The system, that identifies and alerts on prescription errors in real-time, addresses both health and economic burdens of medication errors. As a result of its high accuracy and clinical relevance, it improves patient safety, outcomes and experience, while dramatically reducing healthcare costs. The architecture of this CDSS seamlessly aggregates patient and drug data from multiple EHR sources and makes use of big data analytics and advanced machine learning algorithms to identify previously undetectable prescription errors. Its technology, based on crowdsourced physician practice patterns, allows to predict future outcomes by comparing individual patients to extremely similar reference cohorts. Back to All Projects

Artificial intelligence for content generation

Date: Collaborators: Docs: Tags: I’ve participated in writing a technical and market report for the European Commission’s H2020 programme about an automatic content generation tools that, besides maintaining general authoring tools functionalities, offers, in addition, a special focus on content, as it can automatically identify, acquire and process that digital content most adapted to the course developer aims. This tool is the first and only authoring solution integrating latest Artificial Intelligence (AI) technologies, being able to automatically generate affordable, high quality and tailor-made e-learning contents, adapted to the customer needs by processing both, formal and informal content sources, coming from both, public or private repositories. Furthermore, it also exploits latest AI technologies to integrate a smart agent working as a virtual tutor offering a personalized “one- to-one” learning experience to students. All in all, this approach solves the problem of low-cost development of high quality e-learning specific contents. Back to All Projects

When routers become smart

Date: Collaborators: Docs: Tags: I’ve been involved in writing a technical report and market analysis for the European Commission’s H2020 programme. This intelligent platform for smart-home management is able to analyse, diagnose and solve any issue concerning your home ICT infrastructure, your home-deployed devices and the services running on them by applying latest AI techniques; it makes everything in the home work. The underlying idea behind its core is to transform Internet Service Providers (ISPs) routers into smart ones; this transformation is approached from a novel holistic (and incremental) perspective: (1st) WiFi connectivity optimization and error-solving, (2nd) connected-home devices and services management (WiFi_2.0) and (3rd) connected-home ecosystem platform. Back to All Projects

Music and … video-games!

Date: Collaborators: Docs: Tags: I don’t really want to talk much about this new exciting project; it seems to me pretty pretty interesting. Just to say that it will try to use music in video-games … let’s say, from a totally novel point of view 🙂 Back to All Projects

Revolutionizing the way diabetes is managed

Date: Collaborators: Docs: Tags: Working on explaining how IT innovation can support people suffering from diabetes. I was required to improve an already existing proposal. I changed quite a lot of things and I made some really cool graphics. I hope it to be funded. Back to All Projects

Applying AI to knowledge for optimizing customer support

Date: Collaborators: Docs: Tags: I’ve just accepted to write a proposal regarding a novel online system exploiting latest AI techniques for optimizing customer support end-user experience and its internal processes. Back to All Projects

Securing a healthy indoor air climate while saving energy in buildings with space technology

Date: Collaborators: Docs: Tags: Most exposure to outdoor air pollution does occur indoors (90%), causing 67% of the total burden of disease related to Indoor Air Quality (IAQ). With 90% of European citizens spending 90% of their time indoors, good indoor environment is a key public health issue. The overall annual economic cost of health impacts and mortality derived from air pollution in Europe is estimated at €1,273B. Current Air Handling Units (AHU) approaches are neither optimal nor flexible as the better IAQ they get, the more energy they consume; the more energy they save, the lower IAQ they get. Being air treatment responsible for 40% of total building consumption, about 75% of the lifetime cost of these systems is typically energy cost, and only ventilation-related operations may represent up to 26% of the electricity expenses in large offices. This project is to develop an Air Handling Optimization system to be integrated into current or new AHUs. It guarantees a predefined IAQ while optimizing the energy consumption (~40%). Its smart algorithm achieves this optimal operability by intelligently exploiting data acquired from several sensors and by combining traditional ventilation used on Earth with the actual technology for climate control in the International Space Station. The solution has been designed to fit any existing AHU, always enhancing host AHU functionalities no matter AHU capacity. Back to All Projects

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