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

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

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

Zachary Dance

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