Data-Driven and Hybrid Modeling for Decision Making | AIChE

Data-Driven and Hybrid Modeling for Decision Making

Chair(s)

Nicholson, B., Sandia National Laboratories

Co-chair(s)

Hasan, F., Texas A&M University

Rapid advances in cloud computing, data management, and machine learning has led to new opportunities to integrate systems, computation and decision-making in real time. Initiatives such as Industrie 4.0 and Smart Manufacturing encourage industry, government and academia to work together to advance theory and application. Papers are solicited that describe all aspects of data-driven modeling, or integration of first-principles with data-driven models for decision making. Industrial contributions and reviews are encouraged. We are interested in both theoretical advances and applications in data-driven or hybrid modeling in systems with integrated continuous and discrete transitions.

Presentations

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Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00