Big Data in Chemical and Pharmaceutical Processes | AIChE

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Big Data in Chemical and Pharmaceutical Processes

Chair(s)

Singh, R., Rutgers, The State University of New Jer

Co-chair(s)

He, Q. P., Auburn University

Contributions are invited on the topic of big data methods in chemical and pharmaceutical processes.

Presentations

8:00 AM
(601a) Machine Learning for Automated Meal Detection in Glucose Control Systems for People with Diabetes
8:19 AM
(601b) Source Analysis of Process Variability in Multi-Step Bio-Process Manufacturing
8:38 AM
(601c) Multi-Rate Hard and Soft Sensors Fusion for Monitoring Chemical Processes
8:57 AM
(601d) A New Big Data Benchmark Problem: Fluid Catalytic Cracker Under Model Predictive Control
9:16 AM
(601e) Computation-Driven Mechanistic Understanding of the Cellular Cost and Regulation of Melanin Production
9:35 AM
(601f) Using Data Variety for Modeling and Control of Batch Processes
9:54 AM
(601g) Optimal Input and Sensor Selection for System Health Assessment
10:13 AM
(601h) Performance Characterization and Fault-Tolerant Control of Multi-Rate Sampled-Data Process Systems with Unknown Measurement Delays

Topics 

Computing and Systems Engineering
Pharmaceutical Discovery
Pharmaceutical Manufacturing

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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

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