The University of Sheffield is pleased to join CPACT and contribute our expertise in process modelling, advanced
analytics, optimisation, and bioprocess development. Through CPACT we look forward to collaborating with industrial partners and other academic institutions to accelerate innovation in process technologies, improve manufacturing efficiency, and translate advanced research into real-world applications that benefit industry and society.
Prof. Zoltán Kis, Professor of Bioprocess Engineering
The
University
of Sheffield is a leading UK research-intensive university with
strong expertise in chemical engineering, materials science, process
engineering, bioanalytics, automation, and advanced manufacturing. University
of Sheffield researchers develop innovative technologies that improve the
efficiency, sustainability, and scalability of industrial processes.
The
Sheffield team involved in CPACT brings complementary expertise spanning:
·
Process modelling and optimisation
·
Dynamic optimisation and numerical optimal control
·
Mechanistic and data-driven process modelling
·
Techno-economic modelling of manufacturing processes
·
Advanced analytical technologies including HPLC and mass
spectrometry
·
Soft sensors, digital twins, and advanced process monitoring
·
Quality by Design (QbD) for manufacturing processes
·
Continuous biomanufacturing technologies, including mRNA
production, purification and formulation
·
Self-optimising chemical and polymer synthesis processes.
Researchers
involved in CPACT collaborations include experts from the School of Chemical,
Materials and Biological Engineering, the School
of Electrical and Electronic Engineering and related schools, with experience
translating fundamental research into scalable technologies through
collaborations with industry and international partners.
Through
CPACT, the University of Sheffield aims to:
·
Support collaborative research and feasibility studies
·
Deliver technical training and webinars for CPACT members
·
Contribute expertise in modelling, optimisation, and advanced
analytics
·
Support joint research projects and PhD training
·
Work with industry partners to solve real-world problems and translate
innovative technologies into practical industrial solutions.