2022 Annual Meeting

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

Chair

Joel Paulson, The Ohio State University

Co-Chairs

Mona Bavarian, University of Nebraska-Lincoln
Ahmad Arabi Shamsabadi, Drexel University

Presentations

12:30 PM

(156a) Keynote Talk-Bayesian Optimization for Additive Manufacturing of Thermoelectric Materials and Devices
Alexander Dowling, Ke Wang, Mortaza Saeidijavash, Minxiang Zeng, Tengfei Luo, Yanliang Zhang

01:00 PM

(91a) Probabilistic Machine Learning Based Soft-Sensors for Product Quality Prediction in Batch Processes
Max Mowbray, Philip Martin, Dongda Zhang

01:30 PM

(156c) Application of Artificial Intelligence to Predict Surfactant Adsorption
Sidqi Abu-Khamsin, Shams Kalam, Muhammad Shahzad Kamal, Shirish Patil, Syed Hussain, Emad W. Al Shalabi

01:48 PM

(156d) A Deep-Learning Model of a Crude Distillation Unit
Vladimir Mahalec, Jiannan Zhu, Feng Qian, Chen Fan

02:06 PM

(156e) The Effect of Chemical Representation on Active Machine Learning Towards Closed-Loop Optimization
Alexander Pomberger

02:24 PM

(156f) Neural Network-Based Automated Detection of Functional Groups in Spectroscopic Data- Bridging the Gap in Online Monitoring of Complex Reaction Systems
Vinay Prasad, Karthik Srinivasan

02:42 PM

(156g) Effects of Noise When Implementing Linear Control Laws on Quantum Computers
Keshav Kasturi Rangan, Helen Durand, Kip Nieman