Skip to content

Author

Dongda Zhang

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios.

Accurate prediction of bioprocess scale-up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi-scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empir...

Harvey Al-Ramadhan, Fernando Vega-Ramon, Keju Jing et al. · 0 citations
Open access Aug 2026

Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.

Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high-fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale-up is a top research priority. However, bioprocess model construction remains hinde...

Luca Riezzo, Alexander W. Rogers, Harry Kay et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.