Data Driven Modeling and Decision Making | AIChE

Data Driven Modeling and Decision Making


Ydstie, B. E., Carnegie Mellon University


Nicholson, B., Sandia National Laboratories

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 and decision making as they relate to the chemical manufacturing industries. Industrial contributions and reviews are encouraged. We are interested in theoretical advances in machine learning, applications of learning and related data analysis methods useful for data-driven modeling and decision making in systems with integrated continuous and discrete transitions.



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


Do you already own this?



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