2023 AIChE Annual Meeting

Session: Data science and analytics for process applications

Chair

Qi Zhang, University of Minnesota

Co-Chair

Ilias Mitrai, University of Minnesota

Presentations

08:00 AM

(305a) Transfer Learning for Soft Sensor Modeling of Industrial Chemical Processes Using Bayesian Inference
Junyao Xie, Biao Huang, Stevan Dubljevic

08:20 AM

(305b) Advances in Computer Vision for Analysis of Coating Appearance and Performance
Jonathan DeRocher, Kevin Henderson, Sun Hye Kim, Chang Hyeon Lim, Yicheng Hu, Xingyu Zhou, Alicia Liew, Nipun Bisht, Michael Linsen, Michael Tran

08:40 AM

(305c) Extracting Meaningful Features from Industrial Text Data
Eugeniu Strelet, Ivan Castillo, You Peng, Ricardo Rendall, Swee-Teng Chin, Marco Reis

09:00 AM

(305d) Low-Dimensional Vector Autoregressive Modeling for Dynamics Prediction with Maximum Likelihood Estimation
Yanfang Mo, S. Joe Qin

09:20 AM

(305e) Reconstructing the Topology of Complex Process Systems
Harman Dewantoro, Alexander Smith, Prodromos Daoutidis

09:40 AM

(305f) Data Science Applications for Process Improvement at Dupont
Arthur Andrews, Hai Zhu, James Hunt

10:00 AM

(305g) Scenario Generation for Day-Ahead Scheduling Problems Using Normalizing Flows
Eike Cramer, Alexander Mitsos, Manuel Dahmen