RAIS aspires to provide for 14 Early Stage Researchers (PhD students) a world-class training within a broad spectrum of subjects establishing a fertile inter-disciplinary research and innovation community that will advance:


Wearable Technology

Wearable Sports Sensing and Quantified-self Devices and Accompanying Middleware


Block-chain Powered IoT

Decentralized Block-chain Powered IoT Platforms (generating hundreds of billions of transactions per day) for Big Data Mining


Real-time Edge Analytics

Real-time Edge Analytics And Predictive Modelling To Capture A Broad Range Of Sports-related Data And Trends (e.g., activities and contextual information), Critical In A Variety Of Application Settings.
RAIS fellows will receive a thorough "hands-on" research training as well as significant exposure to nonacademic environments through industrial secondments. Our rich set of network-wide events, including Interactive Online Seminars, entrepreneurship events, hackathons, workshops and conferences, will safeguard both fellows work as a solid team and individuals development as experts.