2022 Annual Meeting

Session: Advances in Machine Learning and Intelligent Systems II

Chair

Qi Zhang, University of Minnesota

Co-Chair

Seongmin Heo, Korea Advanced Institute of Science and Technology (KAIST)

Presentations

03:30 PM

(543a) A Multi-Fidelity, Physics-Informed Approach to Active Learning-Guided Experiment Design for the Study of Ammonia Synthesis Via Plasma Catalysis
Ali Mesbah, Ketong Shao

03:49 PM

(543b) A Data Reconciliation Methodology for Reduced Order Modeling of Process Systems
Arijit Chakraborty, Harshal Marathe, Venkat Venkatasubramanian

04:08 PM

(543c) Improved Long-Short Term Memory Model for Dynamic and Multimodal Processes Based on K-Means Clustering: Application to an Industrial 2, 3-Bdo Distillation Process
Bhavana Bhadriraju, Yeongryeol Choi, Jongkoo Lim, Hyungtae Cho, Il Moon, Joseph Kwon, Junghwan Kim

04:27 PM

(543d) Computer-Aided Fuel Design with Generative Graph Machine Learning
Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, Karl A. Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen

04:46 PM

(543e) Simultaneous Hybrid Modeling of Distillation Towers with a Linear Correction Model for Different Tower Operations
Prashant Mhaskar, Vladimir Mahalec, Carlos Rodriguez

05:05 PM

(543f) Offset-Free Deep Deterministic Policy Gradient with Lyapunov Learning Penalties
Elijah Hedrick, Katherine Hedrick, Debangsu Bhattacharyya, Stephen Zitney, Benjamin P. Omell

05:24 PM

(543g) Premexotac: Bitterants in-Silico Screening Using Machine Learning for Advanced Pharmaceutical Development
Gerardo De León, Eleonore Fröhlich, Sharareh Salar-Behzadi

05:43 PM

(543h) On-Line Learning in Model Predictive Control of Nonlinear Processes: Generalization Guarantees and Stability Analysis
Cheng Hu, Zhe Wu