This proposal seeks to provide a platform for strategic research and impact activities within the embedded integrated intelligent systems (EIIS) domain. This research area covers all aspects of designing and developing products and processes that can demonstrate adaptation and learning (i.e. in terms of self - organising, adapting, configuring, optimising, protecting and healing), at the system or service level based upon intelligent sensing and actuation at the granularity of the individual components. The multidisciplinary nature of the domain is challenging since successful deployment and adoption within the harsh industrial environment requires advancements in several areas (e.g. (1) materials, antennae design, embedded power sources, energy harvesting, real-time software architectures, embedded processing and robust wireless communications protocols at the device level and (2) optimisation, visualisation, analytics, machine learning and digital manufacturing at the systems science and services level). The EIIS group at Loughborough University was founded in 2007 and currently comprises 35 staff (academics (A), post doctoral research associates (PDRA) and postgraduate research students (PhD)). This proposal will enable the team to develop the EIIS strategic research agenda in line with industrial collaborators' (e.g. automotive, electronics, aerospace, sport, healthcare and end of life processing), EPSRC and Government strategies via "ideas factory" colloquia, short-term feasibility studies into "hot topics" and multi-disciplinary responsive-mode submissions to funding bodies (e.g. EPSRC, innovateUK, EU, APC/BIS, Wellcome). The funding will also support the development of a pipeline of expertise in EIIS for UK industry and academia. Undergraduates will be supported via internships in industry or academia to expose the next generation of talent to the EIIS opportunities and challenges and also provide research resource for junior members of the EIIS group. Current EIIS members will also be funded to attend technical, business and innovation courses provided by academia and / or industry and encouraged to take long term (i.e. 3 month) sabbaticals within industry and alternative world leading academic or technology transfer institutions to enable the group to identify best global practices and determine relevant benchmarks for success of the research.