Challenges and trends in smart instrumentation and measurement
Campus ARTEM, Université de Lorraine, NANCY


In the era of the Internet of Things (IoT) where a myriad of smart connected sensing systems are deployed and used in different application fields such as health, energy, transport, etc., a huge amount of data of different type is permanently generated and collected over time. These acquired and collected data need to be processed in order to extract useful information, or temporally stored before their transmission for further processing. The processing, storage and transmission constraints being more and more restrictive strain the design of such systems at all levels, mostly resulting in costly solutions in terms of used resources, processing latency and power consumption. An alternative to the conventional design techniques that has become obvious over the past decades are the solutions requiring artificial intelligence (AI) tools and techniques. The use of supervised and/or unsupervised learning techniques in sensing systems may bring significant improvements with regards to the conventional ones. However, despite the increasing use of AI tools and techniques mostly in software implementations, the most challenging from embedded system’s perspective is to bring these AI techniques in smart sensing systems as hardware circuits thus providing them with better processing precision, performances and low power consumption.

The aim of this joint meeting is to present the state of the art techniques and advances in the field of smart instrumentation and measurement systems. The presentations of renowned international experts in the field covering the current societal challenges in the fields of transport, energy and health are programmed.

Organization :  GDR SoC2 / IEEE Instrumentation & Measurement

Program :

Contact : Hassan Rabah, Slavisa Jovanovic and Dominique Dallet

Registration (Free but mandatory ) : register here