Scholar
Lukas Schulze Balhorn
Google Scholar ID: LZZ7piQAAAAJ
Delft University of Technology, Department of Chemical Engineering
Citations & Impact
Citations
315
H-index
8
i10-index
8
Publications
16
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Involved in multiple research projects such as the application of AI in process systems engineering; developed DigiCo - Digitization Companion for engineering document digitization; team members have positive views on AI and its role in transforming the chemical industry.
Research Experience
- Research areas include Process Systems Engineering (PSE), machine learning, computer vision, natural language processing, knowledge representation, hybrid modeling, knowledge graphs, optimization, modeling, and control.
Background
- Focused on integrating Artificial Intelligence with Chemical Engineering to develop the next generation of intelligent knowledge and decision-making platforms.
Miscellany
- Key tools and technologies used include Python, PyTorch, Keras, SQL, Neo4J, Aspen Plus, GAMS, MAiNGO, etc.
