2022 Annual Meeting

Session: Advances in Machine Learning and Intelligent Systems I

Chair

Qi Zhang, University of Minnesota

Co-Chair

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

Presentations

08:00 AM

(432a) Learning-Based Estimation for Distributed Parameter Systems
Junyao Xie, Biao Huang, Stevan Dubljevic

08:19 AM

(432b) Developing an LSTM-ANN Model for Prediction and Optimal Control of Kappa Number and Degree of Polymerization in a Batch Pulp Digester
Hyun-Kyu Choi, Parth Shah, Joseph Kwon

08:38 AM

(432c) Lstm Neural Networks and Nonlinear State Space Model Identification
Jicheng Li, S. Joe Qin

08:57 AM

(432d) Statistical Machine-Learning-Based Predictive Control of Nonlinear Time-Delay Processes
Aisha Alnajdi, Panagiotis Christofides, Fahim Abdullah, Atharva Vijay Suryavanshi, Mohammed Alhajeri, Zhe Wu

09:16 AM

(432e) Fast Symbolic Regression with Constraints
Owais Sarwar, Nikolaos Sahinidis

09:35 AM

(432f) A Kinetic Model-Based Transfer Learning Approach to Predicting Cell Line-Specific Metabolic Behavior in Biomanufacturing
Yen-An Lu, Meghan G. McCann, Wei-Shou Hu, Qi Zhang

09:54 AM

(432g) Break the Trade-Off Relationship between Detection and Diagnosis Performance through Explainable Deep Learning
Il Moon, Jonggeol Na, Kyojin Jang, Kes Pilario, Nayoung Lee, Inkyu Lee

10:13 AM

(432h) Demonstration of Closed-Loop Machine-Learning-Guided Experimental Platform for the Discovery of Novel Dye-like Compounds
Richard Canty, Brent Koscher, Seung Kyun Ha, Klavs Jensen, Matthew McDonald