• Istituto Italiano di Technolgia (6)


    The Istituto Italiano di Tecnologia (IIT) is a private law foundation jointly established by the Italian Ministry of Education, University and Research and the Ministry of Economy and Finance, with the aim of promoting excellence in both basic and applied research and to facilitate the development of the national economy.  IIT’s total staff is comprised of more than 900 individuals. The scientific area is represented by about 550 researchers, of which nearly 25% are foreigners coming from more than 35 countries worldwide and around 15% are 'returning Italian brains.' Approximately 25% of the staff is composed of young graduate students. IIT has produced approximately 65 patents and more than 2000 publications. The departments that collaborate in the headquarters based in Genoa (Italy) include departments of Robotics ('Robotics, Brain and Cognitive Sciences' and 'Advanced Robotics'), the 'iCub' and the 'Pattern Analysis & Computer Vision' facilities, departments oriented to Life Sciences ('Neuroscience and Brain Technologies' and 'Drug Discovery and Development') and Nanobiotechnologies facilities ('Nanochemistry', 'Nanophysics' and 'Nanostructures'). Since 2009 the scientific activity has been further supported by 10 research centres located throughout Italy (Turin, Milan, Trento, Parma, Rome, Pisa, Naples, Lecce) to develop seven scientific platforms: 'Robotics', 'Neuroscience', 'Drug Discovery Development and Diagnostics', 'Energy', 'Environment Health and Safety', 'Smart Materials' and 'Computation'.

  • University of Ulster (2)

    The Intelligent Systems Research Centre (ISRC) is a major research unit within the Faculty of Computing and Engineering in the University of Ulster, located at the Magee campus in the north west of Ireland.

    The ISRC is dedicated to the creation of intelligent computational systems, taking inspiration from, and learning from, biology and neuroscience. The work of the Centre is directed at achieving a greater understanding of how signals and senses are processed in biological systems, and the translation of critical aspects of that knowledge into computational entities that can perform in a way that humans would consider “intelligent”. It seeks to research and create systems that are capable of learning, evolving, adapting, self-organising and communicating effectively with humans and other machines. Through its Computational Neuroscience team, it also contributes to the achievement of a greater understanding of information processing in the healthy and unhealthy brain, with a specific focus on major depressive disorder (MDD) and Alzheimer’s Disease. The Centre pursues research in brain signal processing, learning and reasoning, sensory perception, cognition, cognitive robotics, computational neuroscience, neuroimaging, and brain-computer interfacing.
    Contact: Professor Martin McGinnity
    Tel: +44-28-71675417
    Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Vicomtech-IK4 (4)


    Vicomtech-IK4 (Visual Interaction and Communication Technologies Centre) is an applied research centre for Interactive Computer Graphics and Multimedia located in the Technology Park of San Sebastiàn (Spain).

    Vicomtech-IK4 is a member of the IK4 Technological Alliance, which is composed of 9 leading Basque technological centres. This alliance is one of the most important of its kind. In the same way, Vicomtech-IK4 also belongs to the international investigation GraphicsMedia.net, composed of different international prestigious applied investigation centres. All of these members work on Computer Graphics and Multimedia technologies, which gives the net an internationally active and strategic profile to its investigation activity.

    The eHealth & Biomedical Applications Department of Vicomtech-IK4 carries out research and development in computer-assisted technologies for the healthcare and biotechnology industry. Our main research activities include image analysis, advanced interface and biomedical information management.

    The eHealth & Biomedical Applications Department is divided into 5 main areas:

    • Biomedical Image Analysis: processing methods for registration, automation, characterization and quantification of structures of interest. We process any modality of images, micro- as well as macroscopic, anatomical and functional (MR, CT, SPECT, PET, etc..).
    • Visual Analytics and Data Mining: management, exploitation and visualization of large amounts of data generated by the biomedical community, in order to develop decision and knowledge discovery support systems.
    • Advanced Interface and Usability: design of ergonomics of new user interfaces for clinicians and biologists, using advanced visualization and multimodal interaction technologies, including stereoscopic images, tracking, haptic devices, touch-based and natural user interfaces.
    • Simulation and Training: simulation technology aims to reproduce real clinical conditions for healthcare professional skills training and assessment, physiological and physical based modelling, virtual and augmented reality, high performance rendering.
    • Telemedicine and eHealth: development of IT solutions for developing closed-loop systems based on multi-parametric monitoring, and personal health management systems.
  • National University of Ireland (5)

    NUI Galway BrandMark 

    The National University of Ireland (NUI), Galway, is a research-led university with internationally recognised expertise in selected priority areas. NUI Galway has a distinguished reputation for teaching and research excellence. This reputation is reflected in our performance in various University League Tables. In 2009 NUI Galway was named the Sunday Times University of the Year for 2009/10. Much of the research is translational; NUI Galway has developed excellent research and development collaborations with national and multi-national industry partners. NUI Galway is Ireland's leading University for knowledge transfer with more spin-out companies, licenses and patents created in the last three years than any other Irish university.

    With over 17,000 students and more than 2,200 staff, NUI Galway has a distinguished reputation for teaching and research excellence in the fields of arts, social science, and Celtic studies; business, public policy and law; engineering and informatics; medicine, nursing and health sciences; and science. NUI Galway offers a wide range of undergraduate and postgraduate degrees and diplomas of international standard, which provide students with opportunities for personal and academic development, as well as giving them the knowledge and skills they need to pursue successful careers.

    NUI hosts the Bio-Inspired Electronics and Reconfigurable Computing (BIRC) research group which develops low power, scalable embedded bio-inspired hardware, FPGA prototype implementations and apps. The BIRC research group has developed a number of FPGA-based Network on Chip (NoC)-based hardware Spiking Neural Network (SNN) prototypes, hardware SNN training, configuration and readback platform, and benchmark SNN control and classification applications. Architectural challenges have included scalable, hierarchical NoC design using cluster and ring topologies and minimisation of topology memory, reduction of NoC-based spike latency jitter, application development (including robotics and breast cancer classification problems), host-hardware SNN interface development, and Genetic Algorithm-based SNN training. The BIRC research group has successfully collaborated and published results with the ISRC at the University of Ulster for the past four years.

  • Nottingham Trent University (3)

    Nottingham Trent University

    The Nottingham Trent University (NTU) is one of the largest and most popular universities in the UK, committed to giving their students the best possible experience. Its world-leading research has a direct impact on people's lives, as well as what students will learn - like our research into new biomarkers for detecting cancer. NTU is proud that our staff and courses inform and share the latest knowledge.

    The School of Science and Technology is an exciting multidisciplinary environment for learning, teaching and research. We specialise in Physics, Mathematics, Biosciences, Chemistry, Forensic Science, Sports Science and Computing and Technology. This mix of traditional and modern science subjects encourages and inspires our future innovators. We have some of the best laboratory facilities in the UK. Take a look at ourfacilities and equipment.