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.

Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

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 ...

With the release of Stable Diffusion, Dall-E2, and ChatGPT-3, people could engage with AI first-hand, watching with awe as seemingly intelligent systems created art, composed songs, penned poetry and ...

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 ...