Description
How do you combine artificial intelligence with first-principles engineering to solve real industrial problems? In this webinar, Devin Griffith, Director of Product Management at Aspen Technology (now part of Emerson), shares how hybrid modeling, integrating AI techniques with domain expertise, drives measurable impact in energy and manufacturing applications.
📅 Date: February 17, 2026
🎤 Presenter: Devin Griffith
🏢 Affiliation: AspenTech (Emerson)
🔍 What You'll Learn
How AI and first-principles models work together in hybrid modeling
Applications in process optimization and manufacturing
Regulatory challenges and building trust in AI systems
Devin brings deep experience from AspenTech, Dow, ExxonMobil, and Carnegie Mellon University, where he completed his Ph.D. under Professor Lorenz Biegler. His work spans nonlinear optimization, model predictive control, and industrial AI deployment.
💬 Featured Discussion Topics from the Live Q&A
Robust methods for outlier detection and sensor fault diagnosis
Weighting strategies in hybrid physics + ML models
Hyperparameter tuning for industrial AI
AI in regulated industries (medical devices & validation challenges)
The evolving role of LLMs in engineering model selection and automation
Prioritizing data quality vs model selection in real-world ML workflows
This webinar was opened to the AIChE CAST Division and the IChemE CAPE Special Interest Group, bringing together students, researchers, and industry professionals from around the world.
#ProcessSystemsEngineering #IndustrialAI #HybridModeling #MachineLearning #Optimization #AspenTech #Emerson #EngineeringAI