Data Science/Analytics for Process Applications | AIChE

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Data Science/Analytics for Process Applications

Chair(s)

Garcia-Munoz, S., Eli Lilly and Company

Co-chair(s)

Yenkie, K., Rowan University
Zhang, Q., University of Minnesota

Papers are sought on the topic of analysis of large data sets and information management for improving process design or operations. Submissions from industry or collaborations between academia and industry are highly encouraged. Topics can cover both methods for data-analysis and information management, as well as applications.

Presentations

3:30 PM
(635a) Managing Model and Data Alternatives within the Design of Ionic Liquid Enabled Separations of High Global Warming Potential Hydrofluorocarbon Refrigerants
3:45 PM
(635b) Data Analysis and Predictive Modeling for Wastewater Asset Management
4:00 PM
(635c) Regularized Bayesian Fusion for Toxin Concentration Estimation in an Industrial Wastewater Treatment Plant
4:15 PM
(635d) Model-Based Design of Experiments in Pyomo and Its Application to Adsorptive CO2 Capture Systems
4:30 PM
(635e) Machine Learning-Based Soft Sensors for Vacuum Distillation Unit
4:45 PM
(635f) Statistical Machine Learning for the DOW Data Challenge Problem
5:00 PM
(635g) Data-Driven Modeling and Optimization of an Industrial Scale Reverse Osmosis Desalination Plant
5:15 PM
(635h) Objective Assessment of Operator Training Using Correspondence Analysis of Physiological and Behavioral Measures

Topics 

Computing and Systems Engineering

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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 Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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