2020 Virtual AIChE Annual Meeting

Session: Big-Data for Process Applications

Chair

Q. Peter He, Auburn University

Co-Chair

Kirti Yenkie, Rowan University

Presentations

08:00 AM

(109a) Optimization-Driven Quasi-Deterministic Monte Carlo Sampling for Accurate Uncertainty Quantification: Applications to the Pharmaceutical Industry
Francesco Rossi, Linas Mockus, Gintaras Reklaitis

08:15 AM

(109b) Topological Data Analysis: Concepts, Computation, and Applications
Alexander Smith, Victor M. Zavala

08:30 AM

(109c) Computational Fluid Dynamics-Based in-Situ Sensor Analytics of Direct Metal Laser Sintering Process Using Machine Learning
Yi Ming Ren, Yichi Zhang, Yangyao Ding, Panagiotis Christofides

08:45 AM

(109d) A Data-Engineering Approach for Estimating Chemical Releases from Industrial Pollution Abatement Technologies
Gerardo Ruiz-Mercado, Shuyun Li, Mariano Martin, Fernando V. Lima, Jose D. Hernandez-Betancur

09:00 AM

(109e) Physics Informed Machine-Learning for Static Security Analysis of Optimal Power Flow Solutions
Zachary Kilwein, Fani Boukouvala, Anya Castillo, Michael Eydenberg, Logan Blakely, Carl Laird

09:15 AM

(109f) Statistics Pattern Analysis-Based Multiclass Woodchip Moisture Classification System Using Short-Range Iot Wi-Fi
Kerul Suthar, Jin Wang, Zhihua Jiang, Q. Peter He

09:30 AM

(109g) Proad (Process Advisor): Health Monitoring Dashboard for Centrifugal Pumps
Iftekhar A. Karimi, Arnab Dutta, Farooq Shamsuzzaman

09:45 AM

(109h) Data-Driven Approaches Towards Real-Time Equipment Health Monitoring and Predictive Maintenance in Drug Product Manufacturing
Philipp Zuercher, Sara Badr, Hirokazu Sugiyama