The development of new paradigms in signal processing and communication technologies during the last decade has allowed a significant jump in the processing speed of complex data, allowing numerous embedded implementations for real-time medical applications and the development of cloud computing tools for bio-engineering. Recent years have also witnessed new research directions in medical image analysis, image guided diagnosis and interventions, and tele-robotic control of mobile machines and manipulators. Applications range from the integration of real-time imaging in image-guided therapy to new concepts for the control of mobile machines to assist medical teams in surgical procedures, or to replace crippled limbs by means of artificial implants designed to provide the user with the original functionality of missing or disabled body parts.The design, manufacturing and maintenance of these robotic units requires a variety of skills from bio-engineers and technicians. The development of such a technologically advanced and innovative curriculum for skilled workers, technicians, undergraduate and graduate students is the primary aim of this consortium. The novel curriculum will train highly qualified professional workers through a combined program of fundamental and applied multidisciplinary knowledge that integrates current research from robotics, digital signal processing (DSP), computer vision, and new materials manufacturing. The participating faculty members are able to draw on research expertise in the fields of DSP, robotics, materials and nanomaterials, design of 3D printing for human body, and manufacturing processes. The main innovative elements of the project are the integration of a multidisciplinary programme with EU-based methodology, extensive use of on-line resources, and interactive teaching. The project will impact the internationalisation of all the institutions involved, as well as the modernisation of the education systems in partner countries.
The development of new paradigms in signal processing and communication technologies during the last decade has allowed a significant jump in the processing speed of complex data, allowing numerous embedded implementations for real-time medical applications and the development of cloud computing tools for bio-engineering. Recent years have also witnessed new research directions in medical image analysis, image guided diagnosis and interventions, and tele-robotic control of mobile machines and manipulators. Applications range from the integration of real-time imaging in image-guided therapy to new concepts for the control of mobile machines to assist medical teams in surgical procedures, or to replace crippled limbs by means of artificial implants designed to provide the user with the original functionality of missing or disabled body parts.The design, manufacturing and maintenance of these robotic units requires a variety of skills from bio-engineers and technicians. The development of such a technologically advanced and innovative curriculum for skilled workers, technicians, undergraduate and graduate students is the primary aim of this consortium. The novel curriculum will train highly qualified professional workers through a combined program of fundamental and applied multidisciplinary knowledge that integrates current research from robotics, digital signal processing (DSP), computer vision, and new materials manufacturing. The participating faculty members are able to draw on research expertise in the fields of DSP, robotics, materials and nanomaterials, design of 3D printing for human body, and manufacturing processes. The main innovative elements of the project are the integration of a multidisciplinary programme with EU-based methodology, extensive use of on-line resources, and interactive teaching. The project will impact the internationalisation of all the institutions involved, as well as the modernisation of the education systems in partner countries.

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