ProfessorSalvador Garcia Munoz

PhD. Chemical Engineering (McMaster University, Canada).MS. Chemical Engineering (Monterrey Tech, Mexico)BS. Chemical and Computer Systems Engineering ( Monterrey Tech, Mexico)

NEW - Process Analytics using multivariate methods - May 20 to May 23 2024

Description of the course:

The participants will be introduced to modern day multivariate data analytics methods through lectures and hands-on workshops. The syllabus is geared towards general concepts on Multivariate Data Analysis (MVDA) using methods like PCA and PLS. The agenda includes theory and applications on a variety of scenarios (e.g. continuous and batch processes, chemometrics). MVDA is a data-driven modeling technique particularly useful to understand systems where acquired data is: abundant, complex, correlated and noisy. Basic knowledge of statistics, linear algebra and geometry are helpful to fully understand the concepts of this course.

The course includes various hands-on workshops using data from real applications, using Python tools.

2024 Course offerings
"Introduction to Process Analytics using Multivariate Methods " - May 20 and 21 2024


Day 1: Principal Components Analysis Fundamentals and common applications

Geometric and statistical introduction to PCA
Algorithms and objective functions
Global diagnostics and contributions
Outlier Detection
Multivariate process monitoring
Establishing multivariate specifications for materials
Unsupervised clustering and classification
Day 2: Partial Least Squares fundamentals and common applications

Objective function and reduced rank regression
Algorithms
Parametric interpretation and model diagnostics
Chemometrics and soft sensors
Multi-block methods
"Advanced Applications of Process Analytics using Multivariate Methods" - MAY 22 - 23 2024
Day 3 – Batch analysis and optimization based solutions

Batch process analysis and monitoring
Introduction to optimization using PYOMO
Process and product design using PLS with optimization tools
In-silico formulation of new formulated products (blending optimization)
Day 4

Optimization Based Chemometrics
NEW ! - Handling of missing samples
Adaptive and localized modeling
NEW! - Building hybrid models with PLS
Registration Fee applies (discounts available for CPSE Consortium companies, students and researchers )

For inquiries regarding the detailed agenda or to register please email:

sargent.centre@imperial.ac.uk