2018 AIChE Annual Meeting

Session: Big Data in Chemical and Pharmaceutical Processes

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

Chair

Ravendra Singh, Rutgers, The State University of New Jer

Co-Chair

Q. Peter He, Auburn University

Presentations

08:00 AM

(601a) Machine Learning for Automated Meal Detection in Glucose Control Systems for People with Diabetes
Sediqeh Samadi, Mudassir Rashid, Iman Hajizadeh, Jianyuan Feng, Mert Sevil, Caterina Lazaro, Nicole Hobbs, Rachel Brandt, Ali Cinar

08:19 AM

(601b) Source Analysis of Process Variability in Multi-Step Bio-Process Manufacturing
S. Joe Qin, Yuan Jin, Zheng Li, Victor M. Saucedo, Angela Meier, Siddhartha Kunda, Briana Lehr, Salim Charaniya

08:38 AM

(601c) Multi-Rate Hard and Soft Sensors Fusion for Monitoring Chemical Processes
Zhenyu Wang, Leo Chiang

08:57 AM

(601d) A New Big Data Benchmark Problem: Fluid Catalytic Cracker Under Model Predictive Control
Omar S. Santander, Michael Baldea

09:16 AM

(601e) Computation-Driven Mechanistic Understanding of the Cellular Cost and Regulation of Melanin Production
Rajib Saha, Wheaton Schroeder

09:35 AM

(601f) Using Data Variety for Modeling and Control of Batch Processes
Abhinav Garg, Prashant Mhaskar

09:54 AM

(601g) Optimal Input and Sensor Selection for System Health Assessment
George Bollas, Kyle A. Palmer

10:13 AM

(601h) Performance Characterization and Fault-Tolerant Control of Multi-Rate Sampled-Data Process Systems with Unknown Measurement Delays
James Allen, Nael El-Farra