Kostas K 1

1. Crosslinking multilayer graphene by gas cluster ion bombardment
2. Determining the structure of functionalized graphene for tailored thermomechanical properties using ML techniques
3. Maximal electromagnetic coupling between arbitrary-shaped nanotubes
4. Design, Simulation, and Evaluation of Polymer-Based Microfluidic Devices via Computational Fluid Dynamics and Cell Culture “On-Chip”
5. Shaping quasi-transparent nanotubes into Maximally strong EM scatterers
6. Machine Learning and Modeling for Ship Design
7. A multi-objective macro-geometry spur gear optimization process to improve weight, efficiency and NVH performance utilizing neural networks
8. A hybrid fluorescent nanofiber membrane integrated with microfluidic chips towards lung-on-a-chip applications
9. Physics-informed geometric operators to support surrogate, dimension reduction and generative models for engineering design
10. Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments
11. ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
12. Generative vs. Non-Generative Models in Engineering Shape Optimization
13. Topology Optimization of an Aerospace Bracket: Numerical and Experimental Investigation
14. A numerical study on axial compression of double-walled cylinders with variable interior flat rings parameters
15. Porous silicon skeleton as catalysts for hydrocarbon decomposition at low temperature synthesis of graphene nanocomposites
16. Graphene-Based Membranes for Water Desalination and Gas Separation: A Review of Advances in Molecular Dynamics and Machine Learning Approaches
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