IoT and Computer & Communications Engineering

Our society is evolving to a point where objects and people will be almost permanently connected and exchanging information. This scenario, called the Internet of Things (IoT), is the result from the convergence in the evolution and integration of communication, computing, sensing, and the new wave of artificial intelligence (AI) technologies. Moreover, the progress in nanoelectronics can potentially enable a new generation of autonomous sensor nodes executing complex AI algorithms onboard, or also called edge AI computing systems. This new concept of IoT (or IoT 2.0) can enable monitor and react unobtrusively during our daily lives for all types of application domains, such as, personalized healthcare or Industry 4.0.

Activities in the IEM Institute in this domain cover the development of edge AI architectures and design paradigms using latest smart and autonomous devices, including nanoelectronics technologies, including constraints related to interpretability of AI results for the benefit of society in the IoT 2.0. In particular, the topics that are considered are embedded software mapping flows, energy management methodologies, low-power communication including electromagnetics and wave engineering for IoT devices and machine-to-machine interaction, as well as optics and edge AI architectures for the IoT infrastructure. Building on these foundational technologies, this domain is strategically positioned to cover the requirements of connectivity, energy efficiency and autonomous operation of IoT systems to enhance processes and enable new services in established industries, creating smart cities, e-health businesses, or industry 4.0.

Key research themes