Goals:
The TC aims to drive the digital transformation of industrial environments through the integration of intelligence, autonomy, and connectivity. The core objective is to promote the development and application of advanced computational methods, such as artificial intelligence, machine learning, and distributed optimization, within modern industrial systems.
The committee focuses on bridging the gap between theoretical advances and real-world industrial deployment. By encouraging collaboration between researchers, practitioners, and policymakers, the TC seeks to accelerate the adoption of intelligent technologies in areas such as smart manufacturing, process automation, predictive maintenance, and industrial robotics.
A key goal is to enable industrial systems that are not only efficient but also adaptive and resilient. This includes addressing challenges such as system interoperability, cybersecurity, real-time decision-making, and human–machine interaction. Emphasis is also placed on sustainability, ensuring that future industrial systems minimize environmental impact while maximizing productivity.
The committee actively supports knowledge dissemination through technical sessions, special issues in journals, workshops, and contributions to flagship IEEE conferences. It also fosters the development of standards and best practices that facilitate the safe and effective deployment of intelligent industrial technologies.
Ultimately, the TC strives to build a global community of experts and stakeholders committed to shaping the future of industry. Through innovation, collaboration, and education, the committee contributes to creating industrial ecosystems that are intelligent, connected, and future-ready.
Technical Objectives:
Advance Intelligent Industrial Systems Research: Promote interdisciplinary research on integrating artificial intelligence, cyber-physical systems, and advanced control into industrial environments.
Enable Smart, Resilient, and Sustainable Industry: Foster innovations that improve efficiency, flexibility, energy use, and resilience in manufacturing and industrial operations.
Facilitate Knowledge Exchange and Collaboration: Support collaboration among academia, industry, and standardization bodies through workshops, publications, and joint initiatives.