Interactive Session: Data and Information Systems

Chair(s):
Boukouvala, F., Georgia Institute of Technology

This session solicits posters in the broad area of Data and Information Management in the chemical engineering domain. Abstracts describing methods, applications, challenges, and tools are all welcome.

Papers:
3:30 PM
(370s) GPU Parallel Forward and Backward Selection for Model Building
3:30 PM
(370t) Going through the Disruptive Transformations in Chemical Industrial Practices : Impact of Expert Systems and Artificial Intelligence on Automation and Decision Making
3:30 PM
(370c) A Holistic Approach for the Development and Test of an Information System
3:30 PM
(370a) Computer Vision Improvised Cell Detection for Lab-on-a-Chip Diagnostics Point Care Solutions
3:30 PM
(370k) Hierarchical Multi-Class Segmentation for Identification of MIMO Systems from Historical Data
3:30 PM
(370v) Machine Learning-Based Surrogate Modeling and Optimization: Application to Systematic Process Intensification Using Building Block Superstructure
3:30 PM
(370h) Prediction of Pressure Drop of Platforming Exchanger in a Continuous Catalytic Reforming Unit
3:30 PM
(370n) Constructing Interpretable and Accurate Model Combining Decision Tree and Random Forest
3:30 PM
(370f) Quantitative Evaluation of Grouping Complex Substances and Sorbent Material Design: Delivering Data-Informed Insights
3:30 PM
(370d) A Data-Driven Approach for Parameter Estimation of Stochastic Models By Using Machine Learning Techniques
3:30 PM
(370b) Probabilistic PCA for Multivariate Process Monitoring and Comparison with PCA
3:30 PM
(370u) Cognitive Autonomous Agents for Process Abnormal Behaviour Detection: An Application of Arti?cial Intelligence
3:30 PM
(370j) A Stochastic Programming for Optimal Fence Line Monitoring and Detection of Toxic and Flammable Gases Using Fixed and Mobile Sensors
3:30 PM
(370i) Constrained Parameter Identification Algorithms for Dual-Rate Systems with Inter-Sample Output Prediction
3:30 PM
(370g) Experimental Validation of Methods for Optimizing Remaining Useful Life (RUL)
3:30 PM
(370m) Machine Learning for Biorefining: Towards a Universal Kinetic Model of Wood Deconstruction
3:30 PM
(370e) Hybrid Cutpoint Optimization Using Improved Swing-Cut Method and Data Analytics for Crude-Oil Distillation Towers
3:30 PM
(370l) Semi-Automatic Method to Optimize Multi-Lamp High Flux Solar Simulators Utilizing Machine Learning Algorithms
3:30 PM
(370q) Reverse Mapping of Nonlinear Process Responses By a Trained Neural Network
3:30 PM
(370r) Development of an Image Analysis Tool for High-Speed Imaging Data in a Dropwise Additive Manufacturing Process
3:30 PM
(370p) Model-Based Optimization of Laser-Reduced Graphene with Sparse Datasets
3:30 PM
(370o) New Evaluation Method of Soft Sensors Considering Characteristics of Time Series Data
Topics: 
Computing and Systems Engineering

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AIChE Members $150.00
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Non-Members $225.00