About
Adem R. N. Aouichaoui is a postdoctoral researcher at the Department of Energy Conversion and Storage (Technical University of Denmark). His work focuses on machine learning applications in chemical engineering, particularly for molecular property prediction and hybrid modeling systems.
- Research areas: Machine Learning, Deep Learning, Graph Neural Networks
- Specialization: Data-driven process optimization and digital transition in (bio)chemical engineering
Recent work includes real-time optimization in industrial processes (Viking Malt A/S case study) and self-consistent graph neural networks for thermodynamic property prediction. He actively contributes to AI applications in energy systems and process engineering.
Contact: arnaou@kt.dtu.dk | arnaou@dtu.dk
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