MULTIVARIATE LATENT VARIABLE MODELING FOR PROCESS DESIGN AND OPERATION IMPROVEMENT COURSE
16-17 July 2018
The participants will be introduced to the concept of “Latent Variable Modeling” (LVM). The syllabus is geared towards general concepts, and depending on time multiple advanced topics can be added. LVM is a data-driven modeling technique particularly useful to understand processes where acquired data is: abundant, complex, correlated and noisy. Basic knowledge of statistics, engineering principles, linear algebra and geometry are helpful to fully understand the concepts of this course.
Course Instructor: Dr Salvador Garcia-Munoz is a Visiting Professor at Imperial College London, with +20 years of experience in the implementation of systems engineering tools to industrial problems. He works for the pharmaceutical R&D sector leading the application of digital design tools for the development of new products and accelerated process design. He is an active member of AIChE, a founder of the Systems Based Pharmaceutics Alliance and associate editor for Chemical Engineering Research and Design. His research in multivariate modeling spans from industrial applications to the development of new methods and algorithms to analyze complex datasets common in contemporary industrial scenarios.
The course will take place on 16-17 July 2018, from 9am to 5pm, in Skempton Room 165-163, Skempton Building, Imperial College London, South Kensington Campus, London SW7 2AZ.
- £480 for industry participants
- (20% discount for CPSE Consortium companies)
- £240 for non-CPSE researchers
- £80 for non-CPSE students
- Free for CPSE students and researchers
Registration: To register, please contact Dr Cristina Bertulli: email@example.com