The DREAMINC project aims to revolutionize soft sensor technology, enhancing the safety and sustainability of chemical industries. Led by Prof. Radoslav Paulen, this interdisciplinary project focuses on three key goals:

1. Interpretable Soft Sensors: Creating interpretable multi-linear models to efficiently capture complex process behaviors.
2. Reliable Soft Sensors: Utilizing optimal experiment design and Bayesian-like approaches to improve model accuracy and identify knowledge gaps.
3. Software Implementation: Developing an open-source toolkit for soft sensor design and conducting practical demonstrations.
   

These innovations bridge the gap between theory and industrial practice, contributing to a more efficient, autonomous, and sustainable chemical industry. The project aligns with EU goals for green and digital transformation and involves collaboration with academic and industrial partners for practical impact.