2023 AIChE Annual Meeting

Session: Data-driven and hybrid modeling for decision making I

Chair

Co-Chairs

Maitraye Sen, Rutgers University
Maitraye Sen, Eli Lilly and Company

Presentations

08:00 AM

(327a) Hierarchical Bayesian Optimization of Gray-Box Models
Kyla Jones, Ke Wang, Alexander Dowling

08:21 AM

(327b) Hybrid Modeling with Phase Contrast Microscopy Images for the Design of Mesenchymal Stem Cell Cultivation Processes
Yusuke Hayashi, Keita Hirono, Isuru A. Udugama, Mohamed Rami Gaddem, Ryuji Kato, Yuto Takemoto, Masahiro Kino-oka, Hirokazu Sugiyama

08:42 AM

(327c) Modeling and Dynamic Simulation of Cultivation in Monoclonal Antibody Production Considering Cell Metabolic Shifts
Kozue Okamura, Sara Badr, Hirokazu Sugiyama, Akira Yamada

09:03 AM

(327d) Crystalgpt: Revolutionizing Crystallization Process Prediction and Control with a Multivariate Time-Series Approach Leveraging Transformer Networks
Joseph Kwon, Niranjan Sitapure

09:24 AM

(327e) Uncertainty Analysis of Hybrid Modeling: A Case Study of Partial Least Squares and Population Balance Model in Continuous Twin-Screw Wet Granulation
Kensaku Matsunami, Ana Alejandra Barrera Jimenez, Thomas De Beer, Ingmar Nopens

09:45 AM

(327f) Physical and Data-Driven Modelling of in Vitro Transcription Process
Min Tao, Zoltán Kis, Joan Cordiner, Solomon F. Brown, Robert Milton, Mahdi Ahmed, Ioanna Kalospyrou

10:06 AM

(60j) Early-Stage Process Design and Sustainability: The Role of Machine Learning in Predicting Environmental Impacts
Emmanuel Aboagye, Austin Lehr, Elizabeth Dellorco, Ethan Shumaker, Liela Clarke, Brandon Jarrett, Robert Hesketh, Kirti Yenkie