The session focuses on sensor networks and intelligent systems driving next-generation monitoring across diverse fields, such as structural health inspection, predictive maintenance, condition monitoring, and automotive. Topics might include sensor node design, data acquisition, digital twins, edge processing and tiny Machine Learning.
The continuous evolution of microsystems has led to a significant impact in the fields of sensors and actuators. The possibility to integrate non-standard materials, e.g. piezoelectric or magnetic materials, with silicon represents a cornerstone for next-generation miniaturized chemical, physical, biological or optical sensors and microactuators. This progress is leading to new challenges and opportunities for modern applications in several research fields, such as physics, electronics, chemistry, biology, biomedical sciences, and microfluidics. In this context, we invite researchers and scientists to submit contributions on scientific and technical aspects of emerging designs and innovative employments of microsystems for sensors and actuators.
The world's growing population, changing climate, and shrinking agricultural land pose immense challenges for meeting global food security needs. Crop yields must increase dramatically on existing farmland to feed up to 10 billion people by 2050. Precision agriculture aims to optimize crop production and minimize environmental impact by using technologies like sensors, robotics, and data analytics.
The conference highlights the ubiquity of sensors in everyday products, industrial processes, and specialist research applications. This can often be attributed to the transferability of sensor systems between applications. In recent years this has been facilitated by factors such as the rapid expansion of IoT and mobile electronics. Systems can often be tested in lab conditions, which are consistent with many indoor applications.
The rapid proliferation of Internet of Things (IoT) devices has opened transformative possibilities across several sectors such as healthcare, sports, industrial monitoring, agriculture, and human-computer interaction. However, the practical deployment of intelligent IoT and wearable systems still faces significant challenges related to energy efficiency, real-time performance, sensor heterogeneity, and scalable artificial intelligence (AI) integration. These constraints are especially pronounced in resource-constrained environments, where bandwidth, latency, and power are at a premium.
