Projects
EU Funded
Acronym: METACITIES
Full Title: Meta Cities Excellence Hub in South-Eastern Europe
Acronym: METACITIES
Full Title: Meta Cities Excellence Hub in South-Eastern Europe
Abstract: Three place-based innovation ecosystems in Cyprus, Greece and Bulgaria partner together to create an Excellence Hub for Future Cities and Regions in Southeast Europe (SEE). The METACITIES Excellence Hub is a sustainable network that offers a common platform for collaboration, cross-fertilization, and best practices sharing across borders, sectors and disciplines on knowledge production, circulation and use. Founded upon a joint R&I strategy, a nexus of collaborative links across sectors, joint research, innovation and outreach activities as well as business modelling and sustainability plans, the collaboration aims to benefit citizens, stakeholders, regional ecosystems and the whole SEE region. The thematic focus on future and metaverse cities necessitates the definition of ambitious R&I agendas and the uptake of advanced digital technologies. Digital Twins (DT) of future cities/regions provide accurate and reliable reference representation seamlessly unifying the physical, digital and human worlds and enabling stakeholders to assess the effects of any changes before investments and implementations actually occur. The proposed Open Digital Twin Framework facilitates co-development of complementary future city domains along with their equivalent DTs. The applied Quadruple Helix Model forges synergies among actors and alignment of public and private sector priorities for regional development. PoC studies, small-scale pilots and feasibility assessments validate project outcomes. Green Business and Operation Models will be developed for future and metaverse cities, as well as for the METACITIES Excellence Hub. Investment and Sustainability Plans will mobilize the communities of the three innovation ecosystems to progress faster in joined efforts. Common investment plans for R&I, infrastructures and support for real-life experimentation, aim to leverage national, regional and European funds as well as crowd funds and private capital in a synergetic manner.
Funded by: European Commission, HORIZON Coordination and Support Actions , Excellence Hubs: HORIZON-WIDERA-2022-ACCESS-04
Official Website: https://metacities-hub.com/
Implementation Period: 1/1/2023 - 31/12/2026
Acronym: AUTOMAINT
Full Title: Automated Predictive Maintenance for Manufacturing SMEs
Acronym: AUTOMAINT
Full Title: Automated Predictive Maintenance for Manufacturing SMEs
Abstract: The AUTOMAINT project aims to create a cloud-based service system that will enable both professionals and non-experts in computer science to construct high-quality predictive models for timely and optimized maintenance of industrial machinery.
Funded by: EU H2020 research and innovation program - GA No: 101017057-DIH4AI Contract No: DIH4AI OC1 004
Implementation Period: September 2022 - April 2023
Abstract: The advancements of next generation networked embedded systems (ES) has initiated the need for software technologies that facilitate rapid prototyping and high performance while enhancing systems’ resilience by establishing, maintaining trustworthiness and assuring system safety and security. However, heavy reliance on Machine Learning (ML) and Artificial Intelligence (AI) to design and develop next generation networked embedded systems system renders serious software and hardware design challenges including trust, security, reliability and operational safety. Prime examples are autonomous vehicles that are prone to various safety/security vulnerabilities that could lead to serious incidents causing physical harm and damage to the physical environment and to the general public. Approaches that reduce development costs and minimize the risk caused by hardware and software failure of such autonomous and intelligent systems deployed in safety critical environments are essential in order to maintain vital services and public confidence in them. XANDAR will deliver a mature SW toolchain (from requirements capture down to the actual code integration on target including verification & validation (V&V)) that fulfils the needs of the industry for rapid prototyping of interoperable and autonomous ES. Starting from a model-based system architecture, XANDAR will leverage novel automatic model synthesis and software parallelization techniques to achieve specific non-functional requirements setting the foundation for a novel real-time, safety-, and security-by-Construction (X-by-Construction) paradigm. For the first time, XbC-guided code generation for non-deterministic ML/AI applications will be combined with novel runtime monitors to ensure fail-operation in the presence of runtime faults and security exploitations. The project provides a consortium covering the full spectrum of ES and software engineering.
Funded by: European Commission, The European Program for Research and Innovation HORIZON 2020, ICT-50-2020: Software Technologies
Official Website: http://xandar-project.eu/
Implementation Period: 01/09/2020 - 31/08/2023
Abstract: SMART4ALL builds capacity amongst European stakeholders via the development of selfsustained, cross-border experiments that transfer knowledge and technology between academia and industry. It targets CLEC CPS and the IoT and combines a set of unique characteristics that join together under a common vision different cultures, different policies, different geographical areas and different application domains. SMART4ALL brings a new paradigm for revealing “hidden innovation treasures” from SEE and helping them to find the path to market via new, innovative commercial products. As part of its strategy, the project will develop and maintain an active network of DIHs across SEE for supporting academics, startups, SMEs, and mid-caps entering the digitization era. The mechanisms for achieving this are the design and implementation of 88 cross-border PAEs that will be executed by the consortium members and by 3rd party consortia (academics, companies and mid-caps). The latter will be supported via well-defined regular open calls and will have a dayby-day coaching by SMART4ALL consortium for boosting the research ideas to successful products. PAEs will be actively supported by SMART4ALL DIH cluster throughout and after their execution. The targeted application areas are domains that are not adequately represented in current SAE projects and include digitized environment, digitized agriculture, digitized anything and digitized transport. SMART4ALL introduces also the concept of marketplace-as-a-service (MaaS) that acts as one-stop-smart-stop of SMART4ALL DIH cluster for offering tools, services, platforms based mainly on open sources technologies as well as technology suppliers-adopter matchmaking capabilities customized to the four thematic pillars of the project. Finally, SMART4ALL plans horizontal activities that will support the Digital Skills Agenda of EC and the support of sensitive social groups via ideas and products that have significant impact on their lives.
Funded by: European Commission, The European Program for Research and Innovation HORIZON 2020, DT-ICT-01-2019: Smart Anything Everywhere
Official Website: http://www.smart4all-project.eu
Implementation Period: 01/01/2020 - 31/12/2024
Acronym: CPSoSaware
Full Title: Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS
Acronym: CPSoSaware
Full Title: Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS
Abstract: In the CPSaware project, we envision the CPSoS as a living organism that behaves automatically (without human intervention), is aware of its physical and cyber environment and reacts to it accordingly so that it constantly matches its intended purpose. CPSaware project aims at developing the models and software tools to describe a CPSoS in a holistic and abstract way and to allocate computational power/resources to the CPS end devices of the System by determining and generating autonomously what cyber-physical processes will be handled by a device’s each heterogeneous component (processor cores, GPUs, FPGA fabric) and software components (software stacks). The CPSaware solution will rely on Artificial Intelligence support in order to strengthen reliability, fault tolerance and security at system level but also will be able to lead to CPS designs that work in a decentralized way, collaboratively, in an equilibrium, by sharing tasks and data with minimal central intervention. Also, the CPSaware system will interact with the CPS/CPSoS human users/operators through extended reality modules (AR glasses, haptics interfaces) to increase human situational awareness but also to include human behavior in the CPSoS design and operation phase (using human based reinforced learning of the CPSaware AI).
Funded by: European Commission, The European Program for Research and Innovation HORIZON 2020, ICT-01-2019: Computing technologies and engineering methods for cyber-physical systems of systems
Official Website: http://www.cpsosaware.eu
Implementation Period: 01/01/2020 - 31/12/2023
Acronym: ARGO
Full Title: WCET-Aware PaRallelization of Model-Based Applications for HeteroGeneOus Parallel Systems
Acronym: ARGO
Full Title: WCET-Aware PaRallelization of Model-Based Applications for HeteroGeneOus Parallel Systems
Abstract: Increasing performance and reducing cost, while maintaining safety levels and programmability are the key demands for embedded and cyber-physical systems in European domains, e.g. aerospace, automation, and automotive. For many applications, the necessary performance with low energy consumption can only be provided by customized computing platforms based on heterogeneous many-core architectures. However, their parallel programming with time-critical embedded applications suffers from a complex toolchain and programming process. ARGO (WCET-Aware PaRallelization of Model-Based Applications for HeteroGeneOus Parallel Systems) will address this challenge with a holistic approach for programming heterogeneous multi- and many-core architectures using automatic parallelization of model-based real-time applications. ARGO will enhance WCET-aware automatic parallelization by a cross-layer programming approach combining automatic tool-based and user-guided parallelization to reduce the need for expertise in programming parallel heterogeneous architectures. The ARGO approach will be assessed and demonstrated by prototyping comprehensive time-critical applications from both aerospace and industrial automation domains on customized heterogeneous many-core platforms. The challenging research and innovation action will be achieved by the unique ARGO consortium that brings together industry, leading research institutes and universities. High class SMEs such as Recore Systems, Scilab Enterprises and AbsInt will contribute their diverse know-how in heterogeneous many-core technologies, model-based design environments and WCET calculation. The academic partners will contribute their outstanding expertise in code transformations, automatic parallelization and system-level WCET analysis.
Funded by: European Commission, The European Program for Research and Innovation HORIZON 2020, ICT 4 – 2015: Customised and low power computing
Official Website: http://www.argo-project.eu
Implementation Period: 01/01/2016 - 31/12/2019
Acronym: IKYDA 2016 - IMAGINE
Full Title: End-to-End AnalysIs and OptiMizAtion of AlGorithms running on Internet of ΤhiNgs (ΙοΤ) infrastructurE
Acronym: IKYDA 2016 - IMAGINE
Full Title: End-to-End AnalysIs and OptiMizAtion of AlGorithms running on Internet of ΤhiNgs (ΙοΤ) infrastructurE
Abstract: The purpose of this work is to analyze and propose methods and tools for optimal allocation of the resources that can be available by an Internet of Things (IoT) infrastructure. Without restricting the general applicability, we will narrow the search space on applications and algorithms which process data coming from sensors, and specifically from an image sensor, as this can be considered one of the most demanding use cases for the scale of an IoT system. Our goal is to end up with a holistic approach in which all the processing, storage and communication resources of an IoT infrastructure will work in tandem following specific user-defined optimization criteria like reducing the power at system-level or minimizing the volume of transferred data.
Funded by: DAAD, IKY
Implementation Period: 01/03/2016 - 31/12/2017
Acronym: RADIO
Full Title: Robots in assisted living environments: Unobtrusive, efficient, reliable and modular solutions for independent ageing
Acronym: RADIO
Full Title: Robots in assisted living environments: Unobtrusive, efficient, reliable and modular solutions for independent ageing
Abstract: Demographic and epidemiologic transitions have brought a new health care paradigm with the presence of both, growing elderly population and chronic diseases. Life expectancy is increasing as well as the need for long-term care. Institutional care for the aged population faces economical struggles with low staffing ratios and consequent quality problems. Although the aforementioned implications of ageing impose societal challenges, at the same time new opportunities arise for the European citizens, the healthcare systems as well as the industry and the European market. Two of the most important aspects of assistive environments and independent living are user acceptance and unobtrusiveness. Mostly explored in a smart home setup and the unobtrusive installation of audio-visual monitoring equipment, the consensus is that users accept monitoring if they are not constantly aware of its presence. A more recent trend is home assistant robots. These two lines of development have for the most part ran without heavily interacting with each other and, even more so, without developing integrated solutions that combine smart home automation with robotics. In RADIO, we will develop an integrated smart home/assistant robot system, with the objective of pursuing a novel approach to acceptance and unobtrusiveness: a system where sensing equipment is not discrete but an obvious and accepted part of the user’s daily life. By using the integrated smart home/assistant robot system as the sensing equipment for health monitoring, we mask the functionality of the sensors rather than the sensors themselves. In this manner, sensors do not need to be discrete and distant or masked and cumbersome to install; they do however need to be perceived as a natural component of the smart home/assistant robot functionalities.
Funded by: European Commission, The European Program for Research and Innovation HORIZON 2020, PHC-19-2014: Advancing active and healthy ageing with ICT: service robotics within assisted living environments
Official Website: http://www.radio-project.eu
Implementation Period: 01/04/2015 - 31/03/2018
additionalMaterial: [link]
Acronym: ALMA
Full Title: Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb
Acronym: ALMA
Full Title: Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb
Abstract: The mapping process of high performance embedded applications to today’s multiprocessor system on chip devices suffers from a complex toolchain and programming process. The problem here is the expression of parallelism with a pure imperative programming language which is commonly C. This traditional approach limits the mapping, partitioning and the generation of optimized parallel code, and consequently the achievable performance and power consumption of applications from different domains. The Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb (ALMA) project aims to bridge these hurdles through the introduction and exploitation of a Scilab-based toolchain which enables the efficient mapping of applications on multiprocessor platforms from high level of abstraction. This holistic solution of the toolchain allows the complexity of both the application and the architecture to be hidden, which leads to a better acceptance, reduced development cost and shorter time-to-market. Driven by the technology restrictions in chip design, the end of Moore’s law and an unavoidable increasing request of computing performance, ALMA is a fundamental step forward in the necessary introduction of novel computing paradigms and methodologies. ALMA helps to strengthen the position of the EU in the world market of multiprocessor targeted software toolchains. The challenging research will be achieved by the unique ALMA consortium which brings together industry and academia. High class partners from industry such as Recore and Intracom Telecom, will contribute their expertise in reconfigurable hardware technology for multi-core systems-on-chip, software development tools and real world applications. The academic partners will contribute their outstanding expertise in reconfigurable computing and compilation tools development.
Funded by: European Commission, 7th Framework Programme for Research and Technological Development, ICT-2011.3.4 Computing Systems
Official Website: http://www.alma-project.eu/
Implementation Period: 01/09/2011 - 28/02/2015
additionalMaterial: [link]
Acronym: ARMOR
Full Title: Advanced multi-paRametric Monitoring and analysis for diagnosis and Optimal management of epilepsy and Related brain disorders
Acronym: ARMOR
Full Title: Advanced multi-paRametric Monitoring and analysis for diagnosis and Optimal management of epilepsy and Related brain disorders
Abstract: The main objective of the project is to manage and analyse a large number of already acquired and new multimodal and advanced technology data from brain and body activities of epileptic patients and controls (MEG, multichannel EEG, video, ECG, GSR, EMG, etc) aiming to design a more holistic, personalized, medically efficient and economical monitoring system. From a medical perspective, the project contributes to medicine by assisting in better understanding of the mechanisms of epilepsy and related disorders as well as their manifestations. From an ICT perspective, new methods and tools are developed for multimodal data pre-processing and fusion of information from various sources. Novel approaches for large scale analysis (both real-time and offline) of multi-parametric streaming and archived data are introduced to discover patterns and associations between external indicators and mental states, detect correlations among parallel observations, and identify vital signs changing significantly. Moreover, in the projects framework, methods for automatically summarizing results and efficiently managing medical data are developed. ARMOR incorporates models derived from data analysis based on already existing communication platform solutions emphasizing on security and ethical issues and performing required adaptations to meet specifications. Special effort is devoted in areas such as data anonymization and provision of required service. ARMOR provides flexible monitoring optimized for each patient and is tested in several case studies and evaluated as a wide use ambulatory monitoring tool for seizures efficient diagnosis and management including possibilities for detecting premonitory signs and feedback to the patient.
Funded by: European Commission, 7th Framework Programme for Research and Technological Development, ICT-2011.5.1: Personal Health, Systems (PHS), b) Intelligent systems for the analysis of multi-parametric data
Official Website: http://armor.tesyd.teimes.gr
Implementation Period: 01/11/2011 - 31/04/2015
additionalMaterial: [link]
Full Title: Virtualization of reconfigurable heterogeneous high performance hardware/software systems
Full Title: Virtualization of reconfigurable heterogeneous high performance hardware/software systems
Abstract: The main objective of this project is to study, evaluate and propose algorithms to optimize software for embedded systems based on hardware architectures with multiple processor cores. As part of this project we will develop a set of tools for analysis and optimization of embedded software developed for such systems. The tools that will implement the algorithms will suggest scenarios for the allocation of the software (developed by the user) to the available processor cores and will have the opportunity to communicate with the hardware emulator of the platform that contains the processor cores. The tools and algorithms developed will allow the user to compare alternative implementations. The end user will be able to configure the optimization algorithm in order to perform what-if scenarios. The multicore platform that will be used for running the optimized embedded software will be developed by Institute for Information Processing Technology, Karlsruhe Institute of Technology.
Funded by: IKY
Implementation Period: 01/01/2011 - 31/12/2012
Nationally Funded
Abstract: The proposed project, "A Speech and language Therapy Platform with Virtual Agent" (PLan-V), aims at
developing an integrated, technologically assisted, speech/language intervention platform for people with
chronic neurogenic communication disorders. Acquired speech and language disorders are increasingly
relevant for a significant percentage of the population, given the current aging rate, and they have a direct
and severe effect on quality of life because they limit daily communication. The effective support of this
population requires individualized, systematic and regular intervention by speech/language therapists.
Treatment outcomes are directly and positively correlated with the quality and frequency of clinical
services.
The proposed project aims at developing a novel system that can support the self-management of chronic
patients with speech and language disorders. The inadequate communication skills of these patients
deeply affect their day-to-day life and the limited access to free, long-term speech and language therapy
services hinders their effective and efficient rehabilitation. The proposed system will allow patients to
practice wherever and whenever they wish, without the physical presence of a clinician, via the assistance
of a digital character/virtual speech and language therapist (Avatar). At the same time, the proposed
platform will constitute a valuable clinical tool that will assist clinicians with the time consuming process of
routine patient assessment and evaluation, and the development and execution of individualized
intervention programs that will complement face-to-face clinical sessions.
The implementation of the above goals requires the cooperation of three research institutions and two
private companies on activities of industrial research and experimental development, in order to
investigate, revise and improve current practices, and apply them to construct:
a) original speech/language therapy material, well grounded on contemporary, evidence-based intervention
practices, that can be used for the support of patients with neurogenic speech and language disorders of
various types and different severity levels,
β) a novel system of technologically assisted, speech/language intervention via a virtual therapist, that will
guide the patient during the virtual clinical sessions by providing the directions and feedback required by
each therapy task via a natural and friendly interface,
c) an automated system for the evaluation of the severity of the speech and language deficits that will allow
for the comprehensive assessment of the intervention progress, via novel machine learning techniques,
d) a novel management system, that will support speech/language therapists in the clinical practice, by
allowing them to develop individualized treatment plans and assess the progress of the intervention without
their physical presence.
These products will be integrated in a comprehensive platform, available via network for use with a
computer, as well as a smartphone application.
The Coordinating Institution is the Speech & Language Therapy Department of the University of Patras, a
Department with significant experience both in the clinical intervention of neurogenic speech and language
disorders and the application of novel technologies to facilitate the rehabilitation process. The other two
research partners are the "Athena" R.C./Institute for Language and Speech Processing, a research
institute that is a leading expert in the field of Computer Sciences and has substantial expertise in the fields
of speech technology, speech and multimodal technologies of human-machine interaction, and the
Integrated Systems & Applications Laboratory of the Electrical and Computer Engineering Department of
the University of Peloponnese that has significant experience in the development of integrated systems for
medical applications. Finally, the computer company PK and the rehabilitation center ANIMUS are the
participating partners from the industry.
Funded by: NSRF 2014 - 2020: RESEARCH - CREATE - INNOVATE
Official Website: https://planv-project.gr/
Implementation Period: 01/03/2020 - 30/09/2022
Acronym: EQUAL
Full Title: Developing autonomous cart equipment and associated services for supporting people with moving disabilities in super markets
Acronym: EQUAL
Full Title: Developing autonomous cart equipment and associated services for supporting people with moving disabilities in super markets
Abstract: The development of infrastructure to support people with mobility impairments is one of the main priorities both in European and national level. However, investment in infrastructure is mainly depleted in outdoor areas, and less in the development of public indoor infrastructure based on advances in ICT. Eliminating social discrimination is a global goal, thus companies and innovative ideas meeting this goal are not only welcome but also necessary. According to official data from Eurostat, only in the European Union people with mobility impairments exceed 127 million. This means that improving the quality of life of these people, in addition to being a criterion for a developed society, can also be an important market for any company that decides to invest in this field. For a person with mobility problems, day-to-day shopping in a supermarket or shopping mall beyond their usable character is also a first-rate opportunity to participate in social life and hence improve the quality of life. Once a disabled person enters a supermarket or a shopping mall, the accessibility chain is interrupted mainly at two points.Initially, handling the available baskets becomes more and more difficult as they become heavier by groceries placed inside them, especially for the elderly people. At the same time, wheelchair users are unable to reach products on higher shelves.
Driven by the above observations, shortcomings and instructions both at national and European level, the goal of this project is to design and develop an integrated end-to-end solution for the development of new innovative services to support people with mobility impairments in a super market. At the center of the proposal is the design and development of an innovative shopping cart which will facilitate the movement and collection of objects / products in a super market. Consequently, the space within which the vehicle will be driven should be appropriately configured and equipped with innovative systems that will work together continuously to provide the relevant services. Finally, aiming at a truly integrated, scalable and mature solution, the development of an appropriate IT platform that will take control, coordination, storage, processing and presentation of all the necessary data and / or interaction events with the user
in a trustworthy, safe and personalized manner is of critical importance. The vehicles to be introduced in conjunction with the surrounding ICT infrastructure and the offered services will have significant social impacts as they will enable people with mobility impairments to conduct their shopping in a supermarket or a mall autonomously. For this purpose, the present partnership was created with the participation of an innovative company specialising in solutions for people with with moving disabilities and two research organisations, aiming at linking research and innovation and enhancing the productivity and competitiveness of SME.
Funded by: NSRF 2014 - 2020: RESEARCH - CREATE - INNOVATE
Official Website: http://equal.esda-lab.gr
Implementation Period: 18/07/2018 - 18/07/2021
Full Title: Design and development of a SoC based on ITU-T G.hn technology
Full Title: Design and development of a SoC based on ITU-T G.hn technology
Abstract: The goal of this project is to design and implement in using VLSI technology a System on Chip for G.hn technology.
Funded by: NSRF 2007 - 2013
Implementation Period: 01/06/2014 - 30/09/2015
Tags: Research & Developement