Nima Nazemzadeh

Hexxcell · company speakers →

This study demonstrates hybrid modelling frameworks that combine data-driven methods with first-principles to improve prediction accuracy and reliability for complex heat transfer challenges, specifically condensation in microfin tubes and fouling in industrial-scale heat exchangers.

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Speaking history

Symposium of Malaysian Chemical Engineers

7 September 2026 Bandar Sunway, Malaysia “A Hybrid Machine Learning Assisted Modelling Framework Across the Scales for Heat Transfer Systems”

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