Menu Close


Ongoing Projects

HPCLAB is currently participating in the following research  projects.

EFRA will explore how extreme data mining, aggregation and analytics may address major scientific, economic and societal challenges associated with the safety and quality of the food that European consumers eat. EFRA’s goals are: i) develop and test solutions to discover and distil food risk data from heterogeneous and dispersed/scarce data sources with minimal delay and appropriate format; ii) design relevant human aspects & interactions with users to measure usefulness for human risk prevention actions in real-world use-cases iii) demonstrate how solutions enable the development of trustworthy, accurate, green and fair AI systems for food risk prevention iv) achieve groundbreaking advances in performance and effectiveness of food risk data discovery, collection, mining, filtering, and processing; v) integrate relevant technologies (big data, IoT, AI) to foster links to food data innovator communities vi) position its contributions into the overall ecosystem of public & private stakeholders that share data, technology and infrastructure to ensure the safety and quality of food in Europe. 
CNR will lead WP3 (Data Analytics & AI Prediction Models) focusing on the definition of novel sustainable machine/deep learning techniques to achieve good trade-offs between accuracy, latency and resource usage. It will also contribute to WP1 an integrated, energy-efficient cloud/edge HPC architecture and to WP4 the strategies for the re-allocation of cloud & HPC resources for greener operations.

The SoBigData RI Preparation Phase Project (PPP) is the preparatory phase of the SoBigData RI in the ESFRI RoadMap 2021. The SoBigData RI PPP will advance the RI from simple awareness of ethical and legal challenges in social mining to the development of concrete tools that operationalize ethics with value-sensitive design, incorporating values and standards for privacy protection, fairness, transparency, and pluralism.

One of the main goals of the SoBigData RI PPP is to lay the foundation for the long-term sustainability of RI. To this end, the project will model and define a legal entity (ERIC European Research Infrastructure Consortium) to acquire legal status and develop strategies for RI governance. Of crucial importance is producing a business plan for long-term sustainability and defining strategies for services design, community involvement, and third-party partnerships. In this context, the goal is to develop a sustainable strategy for integrating data and methods that enables the discovery and utilization of heterogeneous services.

The project aims to strengthen the SoBigData research infrastructure (, coordinated by CNR-ISTI, with the goal of enhancing interdisciplinary and innovative research on the multiple aspects of social complexity by combining data and model-driven approach.  SoBigData RI develops methodologies and approaches to put into practice the FAIR (Findable, Accessible, Interoperable, and Reusable) and FACT (Fair, Accurate, Confidential, and Transparent) principles. The strengthening will concern four main aspects of the infrastructure: (i) technological aspect: strengthening and creating new computational nodes distributed on the Italian territory with centralized and networking technologies; (ii) scientific aspect: strengthening and creating new virtual laboratories (VL) to explore specific aspects of society through data science; (iii) Ethical Aspect: promote the new generation of “responsible data scientists” collaborating with the academia and industry (i.e., providing ethical and legal counseling and facilitating the technology transfer); finally (iv) the creation of DIGIT services for multidisciplinary communities by exploiting the research produced in the VL and the new computational and technological resources. 

ACCORDION (H2020 RIA 2020-2023 contract N. 871793) aspires to support the enlargement of the edge resource & infrastructure pool so as to cover morgeographies and users, thus truly enabling ubiquitous and collaborative applications that will benefit from the edge computing offerings.

A system will be created, called ACCORDION system, that will address the needs of both NextGen application developers and local infrastructure owners, and will encompass frameworks for application development, establishment of an adaptive and robust cloud/edge infrastructure continuum, and the abstraction of widely heterogeneous pools.

MASTER (H2020-MSCA-RISE-2017 2018-2022 – contract N. 777695) is a EC funded under the H2020 Marie-Slodowska Curie actions as the RISE funding scheme. The objective is to  form an international and inter-sectoral network of organisations working on a joint research programme to define new methods to build, manage and analyse multiple aspects semantic trajectories.  We propose methods to analyze and infer knowledge from multiple aspects trajectories, considering as vital issues the privacy and big data dimensions.

HPC Lab is the coordinator of the project and its main role is in developing efficient methods for trajectories representation, management and analysis.

SoBigData++ (H2020 RI, 2020-2023 contract N. 871042) strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. Becoming an advanced community, SoBigData++ will strengthen its tools and services to empower researchers and innovators through a platform for the design and execution of large-scale social mining experiments. It will be open to users with diverse background, accessible on project cloud (aligned with EOSC) and also exploiting supercomputing facilities.

MobiDataLab (2021-2023, funded by the EU under the H2020 Research and Innovation Programme – Grant Agreement No 101006879). ) is the EU-funded lab for prototyping new mobility data sharing solutions. The aim is to foster data sharing in the transport sector, providing mobility organising authorities with recommendations on how to improve the value of their data, contributing to the development of open tools in the cloud, and organising hackathons aiming to find innovative solutions to concrete mobility problems. HPC is participating in MobiDatalab contributing to the Cloud federation for Transport Cloud and the semantic enrichment of mobility data.

CHARITY (H2020 RIA, G.A. No 101016509) aspires to leverage the benefits of intelligent, autonomous orchestration of cloud, edge, and network resources, to create a symbiotic relationship between low and high latency infrastructures that will facilitate the needs of emerging applications.

TEACHING (H2020 RIA 2020 – 2022 contract N. 871385) addresses the challenge by integrating AI with fundamental concepts of security and dependability stemming from the AI-human-CPSoS interactions, as well as by considering their impact on the underlying computing system. TEACHING develops a human-aware CPSoS for autonomous safety-critical applications, based on a distributed, energy-efficient and dependable AI, leveraging edge computing platforms, and integrating specialized computing fabric for AI and in-silico support for intelligent cybersecurity.

HPCLab leads WP2 (Distributed Computing and Communication platform for CPSoS) and is responsible of the innovation coordination for the whole project.

NAVIGATOR aims to boost precision medicine in oncology by advancing translational research based on quantitative imaging and multi-omics analyses, towards a better understanding of cancer biology, cancer care, and, more generally, cancer risk.

 ISTI-CNR plays a key role in the project, as the three Labs involved (i.e., NeMIS, HPC, and SI) will lead the design and deployment of the Virtual Research Environment as well as of the AI algorithms for the Radiomics analyses.

Recent Projects

Some of the projects recently concluded are listed below

EV-CHIP (2019-2021 ERA-NET) Electric Vehicles Charging Platform for Community Demand Response Aggregators. The objective of the EVCHIP project is to explore and validate a business model for realising the commercial value of EV charging services aggregation.


HPCLAB is also involved in the National project OK-INSAID (Operational Knowledge from Insights and Analytics on Industrial Data, PON e FSC – Fabbrica Intelligente – n. ARS01_00917) funded by the Ministero dell’Istruzione, Università e Ricerca (MIUR).

The BigDataGrapes project (H2020 PPP RIA, 2018-2021 contract N. 780751)  aimed at building knowledge and methodologies to support companies in the grapevine industry.

SoBigData (H2020 RI, 2016-2019 contract N. 654024)  designed the Social Mining & Big Data Research Infrastructure

BASMATI (H2020 ICT-EU-Korea). Contract n. 723131. Cloud Brokerage Across Borders for Mobile Users and Applications BASMATI (2016-2018)

LIGA, Large-scale Indie Gaming Analytics. Contract n. 680481. Experiment of Fortissimo 2 H2020 project, (2016-2018)

InGeoClouds project (CIP-ICT-PSP-2011-5). Contract No 297300. The INspired GEOdata CLOUD Services (INGEOCLOUDS) (2012-2014)


Past Projects