Research Projects

  • Sensor-based ego-Vehicle Re-localization and Registration Activities

    Multimodal localization methods for Connected and Autonomous Vehicles

    This project is a direct collaboration among Panasonic Automotive Systems Europe and MIPS Group ( of ISI/ATHENA and it is focused on defining and implementing novel multimodal localization methods for Connected and Autonomous Vehicles. The project duration is 2 years.

    Duration: 24 months

    Timeline: Nov 2020 – Oct 2022

    Project Types: Subcontracts

    Funding Agency: Panasonic Automotive Europe

    ISI Principal Investigator: Dr. Aris S. Lalos


    Artificial Intelligence based cybersecurity for connected and automated vehicles

    The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors’ firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques, and also to continuously seek methods to mitigate associated safety risks. In order to address cybersecurity considerations for the already here autonomous and connected vehicles, well established methodologies coming from the ICT sector will be adopted, allowing to assess vulnerabilities and potential cyberattack impacts. Although past initiatives and cybersecurity projects related to the automotive industry have reached to security assurance frameworks for networked vehicles, several newly introduced technological dimensions like 5G, autopilots, and smart charging of Electric Vehicles (EVs) introduce cybersecurity gaps, not addressed satisfactorily yet. Considering the entire supply chain of automotive operations, CARAMEL targets to reach to commercial anti-hacking IDS/IPS products for the European automotive cybersecurity and to demonstrate their value through extensive attack and penetration scenarios.

    Duration: 36

    Timeline: 2019-2022 

    Funding Agency:European Commision, Horizon 2020 

    Role: Co-PI


  • CPSoSAware

    Cross-layer cognitive optimization tools and methods for the lifecycle support of dependable CPSoS

    The Industrial Systems Institute coordinates the EC funded project CPSoSaware, which targets on shaping the future of Smart Mobility and Smart Manufacturing by developing autonomic, secure, cognitive cyberphysical system of systems that will support operators and users using Artificial Intelligence, Dynamic Reconfiguration and Augmented Reality Technologies. The CPSoSaware solution aims to create self-aware cyber-physical systems of systems (CPSoSs) that detect and respond to physical and cyber environment changes, helping to avoid information overload, and reduce their management complexity by the human administrators in the automotive and manufacturing domains.

    H2020 CPSoSaware will strengthen reliability, fault tolerance and security in CPSoS’s 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.

    A 5 million € initiative that is launched on January 1, 2020 with 13 partners from 9 European countries, and is expected to position Europe in the leading seat in this arena, boosting the European innovation capacity and creating new job opportunities.
    Duration: 36
    Timeline: 2020-2023
    Funding Agency: European Commision, Horizon 2020
    ISI Principal Investigator & Deputy Coordinator: Dr. Aris S. Lalos


    Deep embedded vision using sparse convolutional neural networks

    The main purpose of the project is to design and implement an heterogeneous platform consisting of multiple Low Power Graphic processors with deep learning algorithms acceleration capabilities. A software SDK for vision problems using optimized deep sparse coding techniques especially designed for the aforementioned platform will be provided. The significant benefits of the proposed deep eviot system extends to a very wide range of applications from industrial and surgical robotics to autonomous vehicles, smart security cameras and military applications.
    Duration: 24 months
    Timeline: 2019 – 2020
    Project Types: National Research Projects
    Funding Agency: Research and Innovation Strategies for Smart Specialisation (RIS3), Region of Western Greece, NSRF 2014-2020
    ISI Scientific Coordinator: Dr. Aris S. Lalos


    Virtual laboratories using interactive technologies in virtual, mixed and augmented reality environments

    XRLabs focuses on modern educational needs of student-centered education systems that do have geographic and time boundaries. It provides new teaching methods, and rich social interactions by exploiting digital educational content through the use of new virtual, augmented and mixed reality technologies. With this in mind, the proposed Dynamic Content Labs platform is based on highly innovative and interactive serious games combining basic and applied research results with mature extended reality technologies to enhance day-to-day (Greek and international) educational practices.

    Duration: 24 months
    Timeline: 2019 – 2020
    Project Types: National Research Projects
    Funding Agency: Research and Innovation Strategies for Smart Specialisation (RIS3), Region of Western Greece, NSRF 2014-2020
    ISI Scientific Coordinator: Dr. Aris S. Lalos

  • MyOliveGroveCoach

    Analysis, modeling and multi-spectral sensing for the predictive management of Verticillium wilt in olive groves

    Verticillium wilt of olive is a vascular pathogen and the intensive cultivation of olives in almost all olive growing countries has caused significant spread of this disease. Within MyOlivGroveCoach, we will focus on empowering olive growers and agronomists with diagnosis and management tools for the timely detection of infected trees with non-visible symptoms (initial stage of the infection or asymptomatic stress). This system will provide a management mobile and web application integrated with a pipeline of advanced analysis and multispectral processing algorithms, ensuring end users awareness and providing also treatments and cultural practices. The required data will be collected by remote and multispectral sensing via unmanned aerial vehicles, allowing end users to identify trees with non-visible symptoms, so that the timely management of the disease can take place, guiding the farmers towards the effective treatment of the disease, minimizing the economic losses.

    Duration: 24 months
    Timeline: 2019 – 2020
    Project Types: National Research Projects
    Funding Agency: Research and Innovation Strategies for Smart Specialisation (RIS3), Region of Western Greece, NSRF 2014-2020
    ISI Scientific Coordinator: Dr. Aris S. Lalos


    Advanced personalised, multi-scale computer models preventing osteoarthritis

    Project ID: 777159  Role: Experienced Researcher

    Start Date: 2017-11-01 End Date: 2020-10-31

    Financial Entity: European Union (H2020-SC1-PM-17, RIA Project)

  • GamECAR

    Gamification of EcoDriving Behaviours through Intelligent Management of dynamic car and driver information

    Project ID: 732068  Role: Technical manager, WP Leader

    Start Date: 2017-01-01 End Date: 2018-12-31 (ongoing)

    Financial Entity: European Union (ICT-24-2016 – Gaming and gamification)

  • MyAirCoach

    Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of Asthma

    Project ID: 643607 Role: Experienced Researcher, WP Leader

    Start Date: 2015-01-01 End Date: 2017-12-31

    Financial Entity: European Union (PHC-26-2014 – Self management of health and disease: citizen engagement and mHealth)


    Mobile Mixed Reality System

    Role: Experienced Researcher

    Start Date: 2014-07-01 End Date: 2015-12-01

    Financial Entity: General Secretariat for Research and Technology(National Strategic Reference Framework 2007-2013)


    An ICT solution for the implementation of an innovating fall prevention and holistic management service for the elderly community

    Project ID: 324491 Role: Experienced Researcher

    Start Date: 2013-03-01 End Date: 2017-02-28

    Financial Entity: European Union (FP7-PEOPLE-2012-IAPP – Marie Curie Action: «Industry-Academia Partnerships and Pathways» )

  • WSN4QoL

    Wireless Sensor Networks for Quality of Life

    Project ID: 286047 Role: Experienced Researcher , WP Leader

    Start Date: 2011-12-01 End Date: 2015-11-30

    Financial Entity: European Union (FP7-PEOPLE-2011-IAPP – Marie Curie Action: «Industry-Academia Partnerships and Pathways» )


    Cooperative and Opportunistic Communications

    Project ID:033533 Role: Researcher

    Start Date: 2006-10-01 End Date: 2009-09-30

    Financial Entity: European Union (Future and Emerging Technologies Program)

  • MIMO

    Development and study of efficient adaptive channel estimation and equalization techniques

    Role: Researcher

    Start Date: 2005 End Date: 2009

    Financial Entity: Greek General Secretariat for Research and Technology , PENED

  • ALFA

    Development of an Automated Innovative System for Continuous Live Feed Production in Aquaculture Hatchery Units

    Project ID: 512789  Role: Researcher

    Start Date : 2005-06-01  End Date : 2007-11-30

    Financial Entity: European Union(SME – Horizontal research activities involving SMEs )