Chair(s): Mel Siegel Carnegie Mellon University United States Email Pasquale Coscia Università degli Studi di Milano Italy Email Scope: Fostering the development and use of artificial intelligence, computational intelligence, and soft-computing in measurement systems and related applications. Goals: Develop, promote and support design methodologies, development tools, and applications of artificial intelligence, computational intelligence, and soft-computing in instrumentation and measurement systems, especially for automation, robotics, power and energy, bioengineering, medicine, signal processing, automotive, transportation, smart grids, smart home, smart cities, and ambient intelligence. Develop, promote and support the integration of artificial intelligence, computational intelligence, and soft-computing technologies in advanced instrumentation and measurement procedures and systems, in particular by studying accuracy and classification of heterogeneous instrumentation and measurement. Develop, promote and support standards in the field of artificial intelligence, computational intelligence, and soft-computing technologies (including, neural networks, fuzzy logic, genetic algorithms, expert systems) for intelligent instrumentation and measurement applications, as hardware and software components integrated in conventional analog and digital systems. Disseminate information and knowledge about artificial intelligence, computational intelligence, and soft-computing technologies for instrumentation and measurement applications and attract a wider audience to their benefits, by means of workshops, special sessions in conferences, lectures, and publications. Maintain liaisons with other committees, groups, societies, and organizations working on artificial intelligence, computational intelligence, and soft-computing technologies and in the applications fields.
