CTS addresses engineering systems with a cyber-physical dimension, including modeling and design, development of support technologies and methods, proposition of adequate governance models, application and assessment, aiming for the next generation of cognitive and inter-connected CPS.
Area on the border between the physical and cyber parts, focusing on micro- and nano-electronics (smart devices design and technology processes), with an emphasis on energy-efficient SoCs in advanced CMOS nodes, opto-electronics, sensors, energy harvesting and FPGA technologies. It included sensors development, new techniques for signal processing (fractional calculus), and for tracking and localization in wireless sensor networks. Design methods, frameworks and platforms for IoT/CPS devices connection were developed in the context of various applied projects.
Area comprising development of models and technologies for enhancement of industrial / manufacturing processes and energy efficiency. Addressed topics include intelligent control, multi-criteria decision making, and data fusion and analysis in data-rich systems, renewable energies, power quality, and energy efficiency. Most projects in this area typically have an applied perspective and are conducted in collaboration with industrial enterprises.
Area devoted to computer engineering topics, spanning from collaborative networks, distributed industrial systems, interoperability, to intelligent robotics and automation. Topics include organizational structures, behavioral and governance models for collaborative systems, business models, servitization, reference models and interoperable platforms, semantic models for interoperability and knowledge management, factory automation, industrial agents, intelligent robotic systems, agile and resilient manufacturing systems. Both basic and applied research have been done in industry and services, elderly and health care, agribusiness, and space applications.