Research
Papers and Research Work
04/2026
Database-driven and property-constrained inference of molecular composition of petroleum fractions from routine experimental data
Bring molecular-level petroleum analysis closer to everyday refinery lab tests.
10/2025
Simultaneous outlier-exclusion and distributionally robust learning through partial optimal transport
Teach robust models to separate truly misleading data from unusual but useful surprises.
09/2025
Molecular composition reconstruction of naphtha fractions through data-driven modeling and interpretable optimization
From a few routine fuel measurements, rebuild the molecular ingredient list of naphtha.
03/2025
Dynamic Process Flexibility Analysis Using Neural Networks and a Volumetric Flexibility Index
Measure how much breathing room a process has while its safe operating region changes over time.
06/2024
Novel feasible set learning and process flexibility analysis method using deep neural networks
Design neural networks to find and measure scattered safe operating zones.
01/2024
Model Predictive Control for Renal Anemia Treatment through Physics-informed Neural Network
Turn hemoglobin prediction into a dosing planner that keeps treatment inside a healthy target zone.
08/2023
Haemoglobin response modelling under erythropoietin treatment: Physiological model-informed machine learning method
Predict how a patient's hemoglobin will respond by combining clinical data with the body's known biology.