2022 Annual Meeting

Session: Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency I

Chair

Davood Babaei Pourkargar, Kansas State University

Co-Chair

Joel Paulson, The Ohio State University

Presentations

08:00 AM

(156b) Keynote Talk-Machine Learning Based Software Tool for Efficient Wastewater Asset Management
Kirti Yenkie, Jake Stengel, Emmanuel Aboagye, Matt DeNafo

08:21 AM

(91b) Partially-Connected Recurrent Neural Network Modeling for Predictive Control Using Noisy Data
Mohammed Alhajeri, Zhe Wu, Panagiotis Christofides

08:42 AM

(91c) Handling Correlated Data for Artificial Neural Network (ANN)-Based Model Predictive Control (MPC) Implementations
Hesam Hassanpour, Brandon Corbett, Prashant Mhaskar

09:03 AM

(91d) Application of Data Driven Techniques to Industrial Hydroprocessing Units
Prashant Mhaskar, Jesus Moreira, Debanjan Ghosh

09:24 AM

(91e) Investigating Machine Learning Techniques for Effective Predictive Maintenance in Industrial Systems
Joan Cordiner, Louis Allen, Mahdi Ahmed

09:45 AM

(91f) Hallucinating Inexpensive, Diverse and Native-like Antibodies with Deep Learning
Sai Pooja Mahajan

10:06 AM

(91g) Forecasting and Reconstructing Chaotic Dynamics from Partial Observable Data
Charles Young, Michael Graham