Hybrid modelling of wet granulation toward sustainable process development
Using data-driven mechanistic insight to transform pharmaceutical and waste-to-resource processes into scalable, sustainable solutions.
Research Focus Areas
Advancing PSE for sustainability and digitalisation
Our group conducts cutting-edge research across multiple domains, applying mathematical models for solving global challenges
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Active
Pharmaceutical Engineering
Developing innovative mathematical models for pharmaceutical processes to reduce experimental effort and improve product quality
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team
Emerging
Sustainability Engineering
Designing sustainable processes and systems based on uncertainty-conscious techno-economic assessment (TEA) and life-cycle assessment (LCA)
Active
Particle Engineering
Advancing particle-involved processes through integrated population balance modelling (PBM) and machine learning
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team
Meet Our Team
Motivated researchers pushing the boundaries of science
We tackle the most challenging problems towards sustainable processes and systems.
Principal Investigator
Master Students
CHEN Ke
Lab Attachment Student
Machine-learning-assisted model-based design for chemical and pharmaceutical processes
WU Xianying
Lab Attachment Student
Computational Modelling & AI: Numerical Modelling in Pharmaceutical Processes, Machine Learning, and Uncertainty Quantification.
Drug Delivery Systems: Lipid Carriers (Oleosomes), In vitro Digestion, and Mucus Permeability.
Bioprocessing & Food Engineering: Protein Synthesis & Purification, and Plant-Based Meat Fibration.
YEH Mu Han
Lab Attachment Student
Active learning and AI-assisted model-based process optimisation for constrained chemical and pharmaceutical systems
ZHAO Shiqin
Lab Attachment Student
AI-assisted design of experiments for efficient pharmaceutical process design
Undergraduate Students
Joshua CHENG Xi Han
Research Student
Artificial Intelligence, Machine Learning, Biotechnology, Pharamceuticals, Quantitative Research, Technology & Finance
Active Research Projects
Machine-learning-assisted population balance modelling for pharmaceutical crystallisation process design
Advancing mechanistic models that can design pharmaceutical crystallisation processes by integrating them with machine learning tools.
Recent Publications
To be updated.
Events
Stay connected with our research community through talks, workshops, and collaborative events
Hosted a seminar by Prof. Sugiyama at the University of Tokyo
Making real-world impacts through modeling – a perspective from Pharma PSE Research
Group News & Updates
Collaborators & Partners
Work with us!
We are keen to collaborate with both academic researchers and industry leaders to advance PSE.
Contact Us
Get in touch with our research team
Visit Our Group
Ken Research Group (MoSPSyDe)
School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Nanyang Technological University
62 Nanyang Drive
Singapore 637459
Office Hours
Monday - Friday
Group Meetings: TBD
Connect With Us
Prospective Members
Interested in joining our group? We're always looking for motivated researchers at all levels.
View Open Positions