Ioannis Kouroudis

Ioannis Kouroudis is a Researcher at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He works under the Associate Professorship of Simulation of Nanosystems for Energy Conversion led by Prof. Alessio Gagliardi, focusing on computational methods for energy materials.

• Research Interests: Machine Learning, Perovskite Solar Cells, Multiscale Modelling, Materials Optimization, Optoelectronics, and Catalyst Modeling.
• Education: Holds an M.Sc. degree, though specific institutions are not detailed in the text.

His recent publications highlight trends in applying Machine Learning and AI-driven optimization to problems in materials discovery and perovskite solar cell stability. Collaborative work spans computational modeling, experimental automation, and optoelectronic characterization. No scientific awards are explicitly mentioned.

In teaching, he assists in courses like Computational Materials Design and Python for Engineering Data Analysis, and contributes to seminars on quantum engineering and machine learning. He participates in active research projects such as the DFG e-Conversion Cluster III and TUM Innovation Network ARTEMIS, focusing on energy conversion interfaces and machine learning integration.