2025 AIChE Annual Meeting

Session: 10E Data Science and Analytics for Process Applications

Papers are sought on the topic of analysis of large data sets and information management for improving process design or operations. Submissions from industry or collaborations between academia and industry are highly encouraged. Topics can cover both methods for data-analysis and information management, as well as applications.

Chair

Alexander Dowling, University of Notre Dame

Co-Chairs

Bianca Williams, Auburn University
Wentao Tang, University of Minnesota

Presentations

03:30 PM

(596a) Event Detection in Multivariate Time-Series Data Using Topology
Angan Mukherjee, Tyler Soderstrom, Michael Kurtz, Victor M. Zavala

03:51 PM

(596b) State Observation of a Colloidal Self-Assembly Process with Topological Data Analysis
Cormak Weeks, Xun Tang, Wentao Tang

04:12 PM

(596c) Finding the Right Space for Hybrid Modeling of Chemical Processes
Joseph Kwon

04:33 PM

(596d) Learning More from Less: Few-Shot Approaches for Data-Limited Chemical Processes
Suk Hoon Choi, Kyeongsu Kim

04:54 PM

(596e) De-Risking the Scale-up of Novel Critical Minerals Separation
Shammah Lilonfe, Alexander Dowling

05:15 PM

(596f) Physics-Informed Machine Learning for Paracetamol Batch Crystallization in Ethanol
Dingqi Nai, Huayu Li, Martha Grover, Andrew Medford

05:36 PM

(596g) Using Large Language Models to Improve Consistency in Process Hazard Analysis
Arpan Seth, Andrew J Jones