Machine-learning-assisted mechanistic model development for chemical and pharmaceutical process design
Advancing mechanistic models that can design chemical and pharmaceutical processes by integrating them with machine learning tools.
Advancing PSE for sustainability and digitalization
Our group conducts cutting-edge research across multiple domains, applying mathematical models for solving global challenges
Developing innovative mathematical models for pharmaceutical processes to reduce experimental effort and improve product quality
Designing sustainable processes and systems based on uncertainty-conscious techno-economic assessment (TEA) and life-cycle assessment (LCA)
Advancing particle-involved processes through integrated population balance modeling (PBM) and machine learning
Advancing mechanistic models that can design chemical and pharmaceutical processes by integrating them with machine learning tools.
To be updated.
Stay connected with our research community through talks, workshops, and collaborative events
Work with us!
We are keen to collaborate with both academic researchers and industry leaders to advance PSE.
Get in touch with our research team
Ken Research Group (MoSPSyDe)
School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Nanyang Technological University
62 Nanyang Drive
Singapore 637459
Monday - Friday
Group Meetings: TBD
Interested in joining our group? We're always looking for motivated researchers at all levels.
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