Hanyang University
Big data-based platform for commercial battery manufacturing processes
AI-based reduced-order modeling for electrode manufacturing, including data curation, ROM development, and AI pipeline construction.
Projects
Research Projects
Our project experience connects academic methods with industrial data and constraints across petrochemicals, materials, equipment, batteries, and energy systems.
01
Academic & industry collaboration
Selected projects
University College London
MEng research project: deep learning-based solubility prediction
Data curation and temperature-conditioned deep-learning architectures for solvent–solute systems.
GS Caltex
AI-based autonomous manufacturing in the petroleum and chemical industry
Industrial data preprocessing, predictive modeling, optimization, and digital-transformation workflows.
GS Caltex
Lubricant property prediction and optimal recipe proposal
Predictive modeling, material analysis, inverse design, and recipe optimization for customized lubricants.
Doosan Enerbility
CO₂ absorbent performance prediction and recipe optimization
AI modeling and feature engineering for VLE prediction of blended CO₂ absorbents.
GS Caltex
AI platform for continuous manufacturing of chemical processes
Industrial AI pipeline and GUI development for customized lubricant design.
Samsung E&A
AI-based prediction and automation in engineering
Control-valve size prediction and explainable AI for engineering automation.
KITECH
AI platform technology for smart chemical processes
Property prediction for polymer composites and application-oriented GUI development.
KITECH
Global optimization system for energy processes
CFD modeling, reactor design, data analysis, and process optimization.
02
Collaboration
How we work with partners
Problem definition
Translate an operational or product-development challenge into a measurable engineering objective.
Model development
Build reliable modeling pipeline suited to the quality and scale of available data.
Decision support
Connect prediction to interpretation, optimization, and deployable engineering workflows.