Dowling Lab at FOPAM 2023

Author: Damian Agi

Group Fopam23

Five graduate students from our lab shared their research at the Foundations of Process/Product Analytics and Machine Learning (FOPAM) 2023 Conference held at UC Davis from July 30th to August 3rd, including:

Hailey Lynch: Model-Based Design of Experiments and Pyomo.DoE

Ke Wang: Optimization Of Modern Manufacturing for Thermoelectric Material Using Machine Learning And Data Science

Kyla Jones: On the Identifiability of Hybrid Models

Montana Carlozo: Bayesian Optimization for Nonlinear Model Calibration

Xinhe Chen: Multiperiod Optimization of Integrated Energy Systems with Machine-Learning Surrogates to Predict Market Impacts.

Kyla presents poster at FOPAM

For detailed abstracts of these presentations, please visit You can find other recent presentations and publications from our group at