Work With Us
This is the list of our available master’s theses.
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Multi-modal, Bayesian-guided analysis of archaeological data to support archeological research
Supervisors: George Giannakopoulos, Xenia Charalambidou
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Reinforcement Learning for the Inverse Design of MOF-Integrated Composite Pressure Vessels for Hydrogen Storage
Supervisors: Christoforos Rekatsinas, George Giannakopoulos, Panagiotis Krokidas
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Predicting relevance in scientific information retrieval
Supervisors: George Giannakopoulos, Artemis Dampa
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Grammar-Based Generative Modeling for architected materials with Property Optimization
Supervisors: Christoforos Rekatsinas, Vasilis Sioros, Panagiotis Krokidas
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Explainable Physics-Informed Machine Learning: A Review and Comparative Assessment of Methods
Supervisors: Christoforos Rekatsinas, Vasilis Gkatsis
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Shallow Machine Learning Architectures for Enhancing Computational Modelling in Physics and Engineering
Supervisors: Christoforos Rekatsinas, George Giannakopoulos, Panagiotis Krokidas
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Enhancing Mesh-Based Simulation with Graph Neural Networks: Integrating Physics for Improved Accuracy
Supervisors: Christoforos Rekatsinas, Ilias Zavitsanos, Dimitris Kelesis
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Efficient Molecular Dynamics Sampling using Latent Diffusion
Supervisors: Christoforos Rekatsinas, Panagiotis Krokidas, Vaia Prassia
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Grammar-Based Generative Modeling for architected materials with Property Optimization
Supervisors: Christoforos Rekatsinas, Vasilis Sioros, Panagiotis Krokidas
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How Explainable is Informed Machine Learning?
Supervisors: Christoforos Rekatsinas, Vassilis Gkatsis
