Christoph Michael Hackl
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About
Christoph Michael Hackl is a Professor at Munich University of Applied Sciences in Germany. His research areas include Gaussian Process Regression, Bayesian Optimization, and the control of electrically excited synchronous machines. He has contributed to the development of multi-objective frameworks for machine design and robust control strategies for renewable energy applications. His recent publications reflect a strong focus on optimizing machine performance and modeling complex systems under varying conditions.
Recent Grants
Grant: Close
Nonlinear Model Predictive Control for Modular Multi-level Converter-based HVDC Systems
Open Date: 2023-03-01
Close Date: 2026-02-01
Grant: Close
e-TWINS ' Holistic digital twin technology for the energy system; Subproject HM: Holistic twins for the electrical subsystems and grid connection
Open Date: 2020-01-01
Close Date: 2023-06-01
Grant: Close
ifMMCC - Intelligent and fault-tolerant Modular-Multilevel-Cascade-Converters (MMCCs) for the Future Renewable Energy System.
Open Date: 2019-11-01
Close Date: 2022-12-01
Grant: Close
Geothermal Alliance Bavaria (GAB) - Subproject „efficient. Heat transformation by intelligent utilisation of geothermal systems
Open Date: 2016-06-01
Close Date: 2024-06-01
Grant: Close
Airborne Wind Energy System Modelling, Control and Optimisation (AWESCO)
Open Date: 2015-01-01
Close Date: 2018-12-01
Articles (20)
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2025
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2025
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2025
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2023
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2022
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2022
Collaborators (5)
Marcus Oel
Leibniz University Hannover
Herbert Palm
Munich University of Applied Sciences
Simon wiedemann
Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut
Christoph Michael Hackl
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Florian Ströbl
Munich University of Applied Sciences
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