Dr. N. Krishnaswamy is an accomplished printing technology and manufacturing professional with extensive experience in security printing, industrial operations, and print production management. He served as Advisor and General Manager at Bharatiya Reserve Bank Note Mudran Pvt. Ltd. (BRBNMPL), Mysore, India, one of the country's premier currency printing organizations. With a distinguished career spanning advanced printing technologies, manufacturing systems, quality assurance, and operational excellence, Dr. Krishnaswamy has contributed significantly to the modernization of printing processes and industrial workflows. His expertise encompasses the integration of emerging digital technologies into conventional printing environments, with a particular focus on Artificial Intelligence (AI), Machine Learning (ML), Industry 4.0 technologies, predictive maintenance, machine vision systems, and smart manufacturing practices. His current research and professional interests focus on the transformation of the Indian printing and packaging industry through intelligent automation, data-driven decision-making, sustainable manufacturing, and digital innovation. He actively explores the role of AI-enabled quality control, predictive analytics, workflow optimization, and advanced manufacturing technologies in improving productivity, reducing waste, and enhancing operational efficiency across large-scale industrial printing operations.

  Artificial Intelligence (AI) in Manufacturing Machine Learning Applications in Industrial Systems Industry 4.0 and Smart Manufacturing Intelligent Printing and Packaging Technologies Machine Vision and Automated Quality Inspection Predictive Maintenance and Industrial IoT Data Analytics for Manufacturing Optimization Digital Transformation of the Printing Industry Workflow Automation and Process Optimization Sustainable Printing and Green Manufacturing Industrial Automation and Production Engineering Supply Chain Efficiency in Print Manufacturing Quality Management Systems Security Printing Technologies Economic and Operational Performance Analysis in Manufacturing