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Bernhard Heinzl is a Senior Researcher in the Data Science team. He has many years of experience conducting fundamental and applied research in data science and machine learning for technical and industrial engineering applications.

Research Interests

• Prescriptive Analytics, Reinforcement Learning, Graph Neural Networks
• Physics-informed ML, Hybrid Methods, Neural Operators
• Dynamic Systems Modeling and Simulation, Co-simulation
• Industrial Applications, Energy Systems, Cyber-physical Production Systems, Control Systems

Key Facts

• PhD studies in Applied Mathematics at TU Wien, with focus on hybrid simulation and optimization in energy-aware production planning
• MSc (Dipl.-Ing.) in Technical Mathematics at TU Wien
• MSc (Dipl.-Ing.) in Automation Engineering at TU Wien
• Author of more than 70 reviewed publications
• Lecturer at University for Applied Sciences Technikum Wien
• Reviewer for international journals and conferences, including AAAI, European Journal of Operations Research, IEEE Transactions on Industrial Informatics, Applied Sciences
• Program Committee for international conferences and workshops

Honours and Awards

• Overall Best Paper Award at the 2020 Summer Simulation Conference
• Performance Scholarship, TU Wien, 2009