Session: Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency

This session focuses on the practical application of artificial intelligence (AI), big data, and advanced data analytics to improve efficiency, quality, and responsiveness in next-generation manufacturing systems. Topics include, but are not limited to, machine learning for predictive maintenance, anomaly detection, digital twins, smart sensors, edge/cloud computing integration, and scalable data infrastructure. Emphasis is placed on real-world implementations, industrial case studies, and innovations that bridge the gap between data science and chemical/process engineering. Contributions that demonstrate measurable improvements in throughput, energy efficiency, sustainability, or decision-making are especially encouraged.