Postdoctoral researcher at National Technical University of Athens [Full CV]

Research and interests

• Multiscale Material Modeling
• Uncertainty Quantification
• Machine Learning
• Surrogate Modeling
• Finite Element Method

Education

• Ph.D. Computational Mechanics, NTUA – School of Civil Engineering, Greece. 
• M.Sc. Computational Mechanics, NTUA – School of Chemical Engineering, Greece.
• M.Eng. Civil Engineering, Aristotle University of Thessaloniki – School of Civil Engineering, Greece.

Publications

Journal Publications

• Pyrialakos S., Kalogeris I., Papadopoulos V., An efficient hierarchical Bayesian framework for multiscale material modeling, Composite Structures, accepted and soon to be published
• Attia M., Hossain KMA., Pyrialakos S., Kalogeris I., Enhancing the performance of anti-blast windows through the use of carbon nanotube reinforced polymer gaskets, Journal of Building Engineering, vol. 78, 2023
• Kalogeris I., Pyrialakos S., Papadopoulos V., Stochastic optimization of carbon nanotube reinforced concrete for enhanced structural performance, Engineering with Computers, vol. 39, 2023
• Pyrialakos S., Kalogeris I., Papadopoulos V., Multiscale analysis of nonlinear systems using a hierarchy of deep neural networks, International Journal of Solids and Structures, vol. 271, 2023
• Pyrialakos S., Kalogeris I., Sotiropoulos G., Papadopoulos V., A neural network-aided Bayesian identification framework for multiscale modeling of nanocomposites, Computer Methods in Applied Mechanics and Engineering, vol. 384, 2021

Conference Presentations

• Margaronis K., Merevis V., Banerjee R., Kalogeris I., Mauri P., Mallick A., Pyrialakos S., Papadopoulos, V., Obstbaum M., Faessler V. Multiscale Simulations of Carbon-Based Composites for the Design of Sustainable Automotive Parts, 23rd Stuttgart International Symposium on Automotive and Engine Technology, Stuttgart, Germany, 4-5 July 2023
• Pyrialakos S., Kalogeris I., Papadopoulos V., A FE4 multiscale scheme for CNT-reinforced concrete accelerated by deep neural networks, 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022), Oslo, Norway, 5-9 June 2022
• Kalogeris I., Pyrialakos S., Bakalakos S., Kokkinos O., Papadopoulos V., Machine learning assisted stochastic optimization of structures comprised of nano-reinforced concrete, International Congress on Computational Mechanics organized by the Greek Association of Computational Mechanics (10th GRACM), Virtual Congress, 5-7 July 2021
• Pyrialakos S., Kalogeris I., Sotiropoulos G., Papadopoulos V., Bayesian Inference on Multiscale Models of Carbon-Reinforced Polymers accelerated by Deep Neural Networks, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), Virtual Congress, 28-30 June 2021
• Pyrialakos S., Kalogeris I., Sotiropoulos G., Papadopoulos V., Bayesian Inference on Multiscale Models of Carbon-Reinforced Polymers accelerated by Deep Neural Networks, Engineering Mechanics Institute Conference (EMI), Virtual Congress, 25-28 May 2021
• Pyrialakos S., Kalogeris I., Papadopoulos V., A Bayesian identification framework for multiscale analysis of nanocomposites, 14th World Conference on Computational Mechanics (WCCM XIV) and 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2020), joint Virtual Congress, 11-15 January 2021