Chemometrics Methods for Image-Based Monitoring and Control of Industrial Processes and Product Quality

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The long term goal of this research program consists of developing new chemometrics methods and systems engineering approaches for reducing variability, improving process operation and product quality in industrial areas that are important for the Canadian economy. Process chemometrics means using multivariate latent variable statistical methods for extracting relevant information from large process databases and multivariate images, and using the models for process monitoring, control and optimization. They help maintain international competitiveness, accelerate process development, and make a more efficient use of raw materials and energy. On the short term, the research will concentrate on developing tools for analyzing hyperspectral images of processes and products, and integrating these new sensors in engineering control systems in two areas: 1) production of complex polymer composites, and 2) culture systems for cell therapy development.