Themes

Papers may be submitted for oral or poster presentation on any topic relevant to process analysis and control, in-process measurements, data analysis and process modelling.

Themes selected for APACT 2027 are: 

  • Advances in process analysis technologies 
  • New methodologies in data analysis and modeling
  • Advances in process engineering modeling and control
  • Digitalization in process manufacturing
  • Sustainability and the circular econom

Some example topics for each theme are given below, although the list is not exhaustive.

Some example topics for each theme are given below, although the list is not exhaustive.

Advances in process analysis technologies - Example topics include:

  • Advances in sampling technologies
  • Optimization of sampling protocols
  • In-line/on-line/non-invasive analysis techniques
  • Imaging and image analysis
  • Miniaturization of analysers/sensors and sensor networks
  • Process analytical aspects of robotics
  • Real-time monitoring of bioprocesses

New methodologies in data analysis and modeling - Example topics include:

  • Advances in process statistics
  • Chemometrics Calibration-free methods
  • Calibration model maintenance and transfer
  • Data mining

Advances in process engineering modeling and control - Example topics include:

  • Digital twins
  • Process performance monitoring
  • Predictive and hybrid modeling
  • Process control and optimization
  • Soft Sensors

​​​​​​​Digitalization in process manufacturing - Example topics include:

  • AI and cyber security
  • Data systems and standards for assured manufacturing quality
  • Impact of AI/ML on process analysis and control
  • Integration of analytics for autonomous process control
  • On-line process diagnostics

Sustainability and the circular economy - Example topics include:

  • Analytical challenges in alternative fuels
  • Advances in measurements supporting net zero
  • Role of process measurements and process modeling in waste reduction and re-use
  • Whole systems modeling - from supply chains to customer

 

 

 

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