Data-driven Process Systems Engineering Lab
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Elisavet successfully defends PhD proposal!
Atlanta, GA
June 16, 2022
Congrats to Elisavet for successfully defending her PhD Proposal! Her work will be focused on modeling plastic recycling mechanocatalytic processes - from unit operation modeling to supply-chain optimization
Suryateja successfully defends PhD proposal!
Atlanta, GA
June 15, 2022
Congrats to Suryateja for successfully defending his PhD Proposal! His work will be focused on developing derivative-free optimization techniques and data-driven hybrid modeling for process systems.
Boukouvala Lab Spring 22 updates
Atlanta, GA
May 10, 2022
Dr. Boukouvala gave 4 seminars in March and April'22 on 'Integrating Chemical-Engineering Principles with Data-Driven Methods for Modeling & Optimization' at Auburn University, Carnegie Mellon University, University of Manchester and University of Minnesota
Perspectives on the Integration between First-Principles and Data-Driven Modeling
Computers & Chemical Engineering 2022
Efficiently embedding and/or integrating mechanistic information with data-driven models is essential if it is desired to simultaneously take advantage of both engineering principles and data-science. The opportunity for hybridization occurs in many scenarios, such as the development of a faster…
Two-Stage Approach to Parameter Estimation of Differential Equations Using Neural ODEs
Industrial & Engineering Chemistry Research 2021
Modeling physiochemical relationships using dynamic data is a common task in fields throughout science and engineering. A common step in developing generalizable, mechanistic models is to fit unmeasured parameters to measured data. However, fitting differential equation-based models can be computation-intensive…
