2023 AIChE Annual Meeting

Session: Data science and analytics for process applications

Chair

Zhang, Q., University of Minnesota

Co-Chair

Mitrai, I., University of Minnesota

Presentations

08:00 AM

(305a) Transfer Learning for Soft Sensor Modeling of Industrial Chemical Processes Using Bayesian Inference
Xie, J., Huang, B., Dubljevic, S.

08:20 AM

(305b) Advances in Computer Vision for Analysis of Coating Appearance and Performance
DeRocher, J., Henderson, K., Kim, S. H., Lim, C. H., Hu, Y., Zhou, X., Liew, A., Bisht, N., Linsen, M., Tran, M.

08:40 AM

(305c) Extracting Meaningful Features from Industrial Text Data
Strelet, E., Castillo, I., Peng, Y., Rendall, R., Chin, S. T., Reis, M.

09:00 AM

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

09:20 AM

(305e) Reconstructing the Topology of Complex Process Systems
Dewantoro, H., Smith, A., Daoutidis, P.

09:40 AM

(305f) Data Science Applications for Process Improvement at Dupont
Andrews, A., Zhu, H., Hunt, J.

10:00 AM

(305g) Scenario Generation for Day-Ahead Scheduling Problems Using Normalizing Flows
Cramer, E., Mitsos, A., Dahmen, M.