Description:
An effective use of modeling in R&D would improve planning, analysis, evaluation, validation and progression of a program. This session focuses on development, optimization, scale-up and troubleshooting in Process R&D using various modeling tools and techniques, from both academia and industry. The tools and techniques include, but are not limited to, data modeling, stochastic modeling, mathematical/numerical modeling, first-principle modeling, process modeling, automation, etc.
Sponsor:
Process Research and Innovation
Chair:
Gaurav Arora
Lead Scientist
Sabic Americas, Inc.
Process Technology
Sugar Land, TX
Email: garora@sabic.com
Lead Scientist
Sabic Americas, Inc.
Process Technology
Sugar Land, TX
Email: garora@sabic.com
Co-Chair:
Mohammad Shafiei
SR. Manager
Sabic Americas, Inc.
Process Technology
SABIC Technology Center
Sugar Land, TX
77478
Email: mshafiei@americas.sabic.com
SR. Manager
Sabic Americas, Inc.
Process Technology
SABIC Technology Center
Sugar Land, TX
77478
Email: mshafiei@americas.sabic.com
Papers:
See more of this Group/Topical: Process Development Division
