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.
ARTIFICIAL intelligence is advancing rapidly. But adoption in process industries will be slower – and for good reason.
The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
Process Engineering encompasses the analysis, modeling, simulation, optimization, design, control and operation of process systems, from micro-sized systems to huge industrial facilities. Many ...
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 ...
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