Sam Kay
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View article: Optimization-based operational space design for effective bioprocess performance under uncertainty
Optimization-based operational space design for effective bioprocess performance under uncertainty Open
Maintaining consistent product quality and yield in bioprocess operations is challenging due to uncertainties inherent in biological systems. Thus, robust strategies are essential to ensure key performance indicators (KPIs), such as produc…
View article: Machine Learning-Aided Robust Optimisation for Identifying Optimal Operational Spaces under Uncertainty
Machine Learning-Aided Robust Optimisation for Identifying Optimal Operational Spaces under Uncertainty Open
Process optimisation and quality control are crucial in process industries for minimising product waste and improving plant economics. Identifying robust operational regions that ensure both product quality and performance is particularly …
View article: Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control
Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control Open
Deriving physical models for key performance indicators (KPIs) has been a challenge for industries developing accurate control and optimization schemes. As a result, data-driven models have seen a rise in application within recent literatu…
View article: Integrating transfer learning within data-driven soft sensor design to accelerate product quality control
Integrating transfer learning within data-driven soft sensor design to accelerate product quality control Open
The measurement of batch quality indicators in real time operation is plagued with many challenges, hence soft sensing has become a promising solution within industrial research. However, small data has traditionally been a severe problem,…
View article: Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design
Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design Open
Viscosity represents a key product quality indicator but has been difficult to measure in-process in real-time. This is particularly true if the process involves complex mixing phenomena operated at dynamic conditions. To address this chal…