2021 Annual Meeting

Session: Advances in Machine Learning and Intelligent Systems II

Chair

Alexander Dowling, University of Notre Dame

Co-Chair

Antonio del Rio Chanona, Imperial College London

Presentations

12:30 PM

(287a) Machine Learning for Process Applications in Cement Industries
Christos Chatzilenas, Thanasis Gentimis, Antonios Kokosis, Theodore Dalamagas

12:49 PM

(287b) Deep Learning Tools for Dense Fluorescent Microscopic Images and C. Elegans Whole-Brain Imaging
Hang Lu, Shivesh Chaudhary

01:08 PM

(287c) Machine Learning to Speed up Dynamic Flux Balance Analysis (FBA) and FBA-Based Reactive Transport Simulations
Hyun-Seob Song, Joon-Yong Lee, William Nelson, Christopher S. Henry, Janaka N. Edirisinghe, J. David Moulton, Xingyuan Chen, Timothy Scheibe

01:27 PM

(287d) Coarse-Grained Dynamics for Epidemics on Adaptive Networks
Tianqi Cui, Alexei Makeev, Thomas Bertalan, Ioannis G. Kevrekidis

01:46 PM

(287e) Explainable AI: Generating Causal Explanations of Machine Learning-Derived Models from Data
Abhishek Sivaram, Venkat Venkatasubramanian

02:05 PM

(287f) Data-Driven Multi-Stage Stochastic Optimization on Time Series
Rohit Kannan, Nam Ho-Nguyen, James Luedtke

02:24 PM

(287g) Learning Decision-Making Models Via Data-Driven Inverse Optimization
Rishabh Gupta, Qi Zhang

02:43 PM

(287h) Simultaneous Planning and Scheduling Under Demand Uncertainty for Multi-Product Systems Using Data-Driven Bi-Level Optimization
Styliani Avraamidou, Efstratios Pistikopoulos, Burcu Beykal