On

April 19 - April 23 2021

All about APACT '21

CPACT is pleased to announce the first APACT on-line conference, which will take place during the week of 19 April 2021. 

You will note that the conference is free to attend and is open to all. 

The themes are:

  • Advances in process engineering modelling and control
  • Developments in bioprocess monitoring and control
  • New methodologies in data analysis for process analysis and modelling
  • Advances in applications of process analysis technologies


APACT is supported by the Royal Society of Chemistry Process Chemistry and Technology Group

APACT is organised by the Centre for Process Analytics and Control Technology  (www.cpact.com)

Keynote speakers

Keynote speakers at the conference include:

Application of ATR-FTIR spectroscopy and spectroscopic imaging to industrial scale production of therapeutic antibodies


Bernadette Byrne
Imperial College London

The application of predictive models for monitoring, control and optimisation of high-value manufacturing processes


John Mack
Perceptive Engineering

The Smart Chocolate Factory - Practical Challenges of Applying Advanced Process Measurement & Control Techniques


Emma McLeod
Mondelez

Kinetics from colour at (any) scale


Marc Reid
University of Strathclyde

Development to implementation: PAT applications in a regulated environment


John Wasylyk
Bristol Myers Squibb

Classical Least Squares (CLS) Gray Models


Barry M Wise and Donal O'Sullivan
Eigenvector

Kinetics, Thermodynamics, and Scale-Up of an Azeotropic Drying Process: Mapping Rapid Phase Conversion with Process Analytical Technology


Zachary Dance
Merck

PAT as the path to Pharma 4.0


Geir Rune Flaten
Aspen Technology, Inc

Bioreactors and Real Time Monitoring With a Purpose


Lucas Vann
APG Pharma Global Solutions Engineering

Developments in modern bioprocess monitoring and control


Henry Weichert
Sartorius Stedim Biotech GmbH

Modelling and optimisation of batch processes using machine learning techniques


Jie Zhang
University of Newcastle

A two-step multivariate statistical learning approach for batch process soft sensing


Dongda Zhang
University of Manchester

Industrial Strength Analytics


Brian Rohrback
Infometrix, Inc.

Fouling on PAT probe: Using non charging technology to prevent electrostatic powder adhesion


Shin Yee Wong
Singapore Institute of Technology

Limits of detection in process spectroscopy


John Andrews
Clairet Scientific