Optimization and Machine Learning in Chemical Manufacturing | AIChE

Optimization and Machine Learning in Chemical Manufacturing

Chair(s)

Rajagopalan, S., Dow Inc.

With the advances in machine-learning and more wide-spread deployment of ML-models in the chemical and energy industries, efficient optimization strategies for data-driven and hybrid models are becoming increasingly important. This session invites papers focused on the application of optimization to data-driven models in manufacturing. Topics of interest include applications, theoretical considerations, new challenges, algorithms, and development and deployment workflows for all kinds of optimization challenges in the chemical industry.

Presentations

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
Employees of CCPS Member Companies $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00