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ABOUT/BIOGRAPHY

Details: Efi-Maria Papia is a PhD Candidate in Materials Science, Mathematical Modeling and Machine Learning (National and Kapodistrian University of Athens in collaboration with National Center for Scientific Research "Demokritos"), from 2023.

Her thesis title is “Mathematical and computational characterization and modeling of nanofibrous membranes and nanowire networks with emphasis on methods of stochastic geometry, complex networks and machine learning”.

She has a MSc in Mathematical Modeling in Modern Technologies, Financial Engineering and Data Science, from the National and Technical University of Athens, 2022.

She has a BSc in Physics, from the National and Kapodistrian University of Athens, 2020.

PUBLICATIONS

Papia, Efi-Maria, Constantoudis, Vassilios, Hou, Youmin, Shah, Prexa, Kappl, Michael and Gogolides, Evangelos, Spatial Patterns in Fibrous Materials: A Metrological Framework for Pores and Junctions Metrology, Volume 5, 2025 [doi]

Efi-Maria Papia, Alex Kondi and Vassilios Constantoudis, Machine learning applications in SEM-based pore analysis: a review Microporous and Mesoporous Materials, Volume 394, Pages: 113675, 2025 [doi]

Christos N. Veinidis, Marialena Akriotou, Alex Kondi, Efi-Maria Papia, Vassilios Constantoudis and Dimitris Syvridis, Complexity analysis of challenges and speckle patterns in an Optical Physical Unclonable Function Chaos, Solitons & Fractals, Volume 191, Pages: 115938, 2025 [doi]

Kondi, Alex, Papia, Efi-Maria, Stai, Eleni and Constantoudis, Vassilios, Computational methods in nanometrology: the challenges of resolution and stochasticity Frontiers in Nanotechnology, Volume Volume 7 - 2025, 2025 [doi]

E.-M. Papia, V. Constantoudis, D. Ioannou, A. Zeniou, Y. Hou, P. Shah, M. Kappl and E. Gogolides, Quantifying pore spatial uniformity: Application on membranes before and after plasma etching Micro and Nano Engineering, Volume 24, Pages: 100278, 2024 [doi]

Papia, Efi-Maria, Kondi, Alex and Constantoudis, Vassilios, Use case of Symbolic Regression in Moir'e patterns using simulated data Proceedings of the 13th Hellenic Conference on Artificial Intelligence, Association for Computing Machinery, 2024 [doi]

Papia, Efi-Maria, Kondi, Alex and Constantoudis, Vassilios, Inverse design of Hexagonal Moir'e Materials: Machine Learning for tunable pore properties Proceedings of the 13th Hellenic Conference on Artificial Intelligence, Association for Computing Machinery, 2024 [doi]

Kondi, Alex, Papia, Efi-Maria and Constantoudis, Vassilios, Machine Learning Applications in Nanotechnology Manufacturing: From Etching Accuracy to Deposition Prediction Proceedings of the 13th Hellenic Conference on Artificial Intelligence, Association for Computing Machinery, 2024 [doi]

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