Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Process Engineering encompasses the analysis, modeling, simulation, optimization, design, control and operation of process systems, from micro-sized systems to huge industrial facilities. Many ...

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...

Lehigh University bioengineering researcher Tomas Gonzalez-Fernandez, an assistant professor in the P.C. Rossin College of Engineering and Applied Science leads an interdisciplinary team applying ...