Javier Cardona Amengual

Dr. Javier Cardona Amengual is a Chancellor’s Fellow - Senior Lecturer in Chemical and Process Engineering at the University of Strathclyde’s Faculty of Engineering. His research focuses on revolutionizing chemical process design through AI-powered multi-sensor systems and multi-scale predictive modeling, addressing challenges in Industry 5.0 and digital manufacturing. He leads a multi-disciplinary team integrating physics-based and data-driven models to enhance process understanding and decision-making in chemical and pharmaceutical manufacturing.

Key collaborations include the EPSRC MediForge Hub and CEDAR Centre for Doctoral Training, advancing resilient medicines manufacturing and cyber-physical systems. His work emphasizes sustainable engineering solutions, leveraging partnerships with global industries and academic institutions to drive real-world impact. Current projects include developing open-access crystal image databases (OpenCrystalData) and AI-driven parameter estimation for industrial processes.

Research interests span AI applications in manufacturing, multi-scale modeling, pharmaceutical process optimization, and data-driven approaches for in-line monitoring. His publications highlight advancements in particle characterization, neural networks, and Industry 5.0 integration. He actively contributes to conferences and workshops, promoting knowledge exchange in digital manufacturing and sustainable engineering practices.