Internet of Things (IoT) or Industrial Internet has been widely accepted as a novel paradigm that can radically transform the industry and our society. It can realize the seamless integration of various devices equipped with sensing, identification, processing, communication, actuation, and networking capabilities. On the other hand, Big Data has recently been considered as a promising technology and become a very active research area primarily involving topics related to machine learning, database, and distributed computing. IoT and Big Data bring great opportunities to improve collaborative intelligent systems which have been proposed, developed, and deployed during the past decades. However, these new technologies also bring significant challenges and do not address major existing issues including system reliability, security, efficiency, and trust management. Significant R&D efforts are required before these technologies can be widely deployed in industrial applications. This special track aims at addressing the advances on the development of scientific and engineering foundations, innovative technologies and solutions for IoT-enabled data-driven collaborative intelligent systems. It covers the following topics (including, but not limited to):
The conference will accept Regular Papers (6 pages), Short Papers (4 pages) and Posters (3 pages). While regular papers will provide high-quality contributions to the field, Short Papers are expected to provide recent research outcomes that are not yet mature enough for a regular paper or a journal contribution, but provide novel insights into a specific problem or a thought provoking discussion of innovative ideas. Posters should ideally show work in progress or applications/demos that could be best presented in an interactive discussion with the audience. All submissions have to be uploaded via the Easychair system.