Position：Professor
Degree： Doctoral Degree
Selected Publications
Prof George Markou ResearchGate
My research publications focus on computational structural engineering, nonlinear finite-element analysis, artificial intelligence and machine learning applications, structural assessment, and high-performance scientific computing.
The following selected publications represent major contributions in computational mechanics, intelligent structural engineering and advanced numerical simulation.
Artificial Intelligence and Machine Learning in Structural Engineering
Markou, G., Bakas, N.P., Chatzichristofis, S.A. and Papadrakakis, M. (2024)
General Framework of High-Performance Machine Learning Algorithms: Application in Structural Mechanics.
Computational Mechanics, Volume 73, Pages 705–729.
DOI: 10.1007/s00466-023-02386-9
Yahiaoui, A., Markou, G., Bakas, N. and Dorbani, S. (2025)
Prediction of the Fundamental Period of Infilled Reinforced Concrete Frame Structures Using Advanced Machine Learning Methods.
SAICE, 67(2), 26–37.
van der Westhuizen, A., Bakas, N. and Markou, G. (2025)
Big Data Generation and Comparative Analysis of Machine Learning Models in Predicting the Fundamental Period of Steel Structures Considering Soil–Structure Interaction.
International Journal of Computational Methods, 22(2).
Nonlinear Finite-Element Analysis and Computational Mechanics
Markou, G. and Papadrakakis, M. (2015)
A Simplified and Efficient Hybrid Finite Element Model (HYMOD) for Non-Linear 3D Simulation of RC Structures.
Engineering Computations, 32(5), 1477–1524.
Markou, G. and Papadrakakis, M. (2013)
Accurate and Computationally Efficient 3D Finite Element Modeling of RC Structures.
Computers & Concrete, 12(4), 443–498.
Mourlas, C., Markou, G. and Papadrakakis, M. (2019)
Accurate and Computationally Efficient Nonlinear Static and Dynamic Analysis of Reinforced Concrete Structures Considering Damage Factors.
Engineering Structures, 178, 258–285.
Structural Health Monitoring and Digital Twins
Huang, J., Broekman, A., Markou, G. and Chen, H.P. (2025)
Framework for a Practical and Cost-Effective IoT-Enhanced Structural Health Monitoring and Damage Diagnostics System with Digital Twinning.
Journal of Civil Structural Health Monitoring.
DOI: 10.1007/s13349-025-00927-9
Seismic Engineering and Structural Resilience
Markou, G. and AlHamaydeh, M. (2024)
Computationally-Efficient High-Fidelity Nonlinear FEA of Seismically Isolated Post-Tensioned RC Bridges.
Structures, 60, 105816.
Markou, G. (2021)
A New Method of Seismic Retrofitting Cost Analysis and Effectiveness for Reinforced Concrete Structures.
Engineering Structures, 246, 113083.
Artificial Intelligence for Reinforced Concrete Design
Markou, G. and Bakas, N.P. (2021)
Prediction of the Shear Capacity of Reinforced Concrete Slender Beams Without Stirrups by Applying AI Algorithms.
Computers and Concrete, 28(6), 433–447.
AlHamaydeh, M., Markou, G., Bakas, N.P. and Papadrakakis, M. (2022)
AI-Based Shear Capacity of FRP-Reinforced Concrete Deep Beams Without Stirrups.
Engineering Structures, 264, 114441.
Software Development and Research Resources
ReConAn FEA: Finite Element Analysis Software
Development of advanced scientific software for nonlinear finite-element analysis of reinforced concrete structures, supporting large-scale computational simulations and research applications.
Full List of Publications
International Refereed Scientific Journals
1. Chizhi Chris Zhang, Shuo Zhang, Hongwei Lou, Jian Jiang, Lei Sheng, and Georgios Markou, Rapid stress birefringence mapping in mounted curved lenses with a curved-layer Jones approximation, Opt. Express 34(21), 39011-39027 (2026), https://doi.org/10.1364/OE.614756
2. A Yahiaoui, G Markou, N Bakas, S Dorbani, 2025, Prediction of the fundamental period of infilled reinforced concrete frame structures using advanced machine learning methods, SAICE, 67 (2), 26–37.
3. Huang, J., Broekman, A., Markou, G., and Chen, H.P., (2025), Framework for a practical and cost-effective IoT-enhanced structural health monitoring and damage diagnostics system with digital twinning, Journal of Civil Structural Health Monitoring, https://doi.org/10.1007/s13349-025-00927-9.
4. Ioannou, A., Galbraith, D., Bakas, N., Markou, G., and Bellos, J., (2025), New Predictive Model for the Computation of Reinforced Concrete Column Shear Strength, Computations, Computers 2025, 14(1), 2; https://doi.org/10.3390/computers14010002
5. van der Westhuizen, A., Bakas. N., and Markou, G., (2025), Big data generation and comparative analysis of machine learning models in predicting the fundamental period of steel structures considering soil-structure interaction, International Journal of Computational Methods, Volume No. 22 (2), Article No. 2450057, https://doi.org/10.1142/S0219876224500579
6. Hume, P., Grabe, H., and Markou, G., (2024), Using machine learning techniques as track geometry predictors for railway track, SAICE Civil Engineering, Vol. 32(8), pp. 26-32.
7. Braun, K.T., Markou, G., Jacobsz, S.W., and Calitz., D. (2024), Developing Predictive Models for the Load-Displacement Response of Laterally Loaded Reinforced Concrete Piles in Stiff Unsaturated Clay Using Machine Learning Algorithms, Structures, Volume 64, June 2024, 106532. https://doi.org/10.1016/j.istruc.2024.106532
8. Ababu, E., Markou, G. and Skorpen, S. (2024), Using Machine Learning Algorithms to Develop a Predictive Model for Computing the Maximum Deflection of Horizontally Curved Steel I-Beams, Computation, 2024, 12(8), 151.
https://doi.org/10.3390/computation12080151
9. Markou, G., and AlHamaydeh, M. (2024), Computationally-efficient high-fidelity nonlinear FEA of seismically isolated post-tensioned RC bridges, Structures 60, 105816. https://doi.org/10.1016/j.istruc.2023.105816
10. Markou, G., Bakas, N.P., Chatzichristofis, S.A. and Papadrakakis, M. (2024), General Framework of High-Performance Machine Learning Algorithms: Application in Structural Mechanics, Computational Mechanics, Volume 73, pages 705–729, https://doi.org/10.1007/s00466-023-02386-9.
11. Braun, K.T., Bakas, N.P., Markou, G. and Jacobsz, S.W. (2023), Advanced Numerical Modelling of the Nonlinear Mechanical Behaviour of a Laterally Loaded Pile Embedded in Stiff Unsaturated Clay, SAICE, Vol 65 No 2, Pages 28–38. http://dx.doi.org/10.17159/2309-8775/2023/v65n2a4
12. Vorster, M., van der Vyfer, P.J., Gravett, Z.D. and Markou, G. (2023), The effect of different endodontic access cavity designs in combination with WaveOne Gold and TruNatomy on the fracture resistance of mandibular first molars: A nonlinear finite element analysis, Journal of Endodontics, Volume 49, Issue 5, Pages 559-566. https://doi.org/10.1016/j.joen.2023.03.004
13. Chen, H.P, Jiang, Y. and Markou, G. (2022), Structural performance deterioration of corroding reinforced concrete columns in marine environments, Ocean Engineering, Volume 262, 15 October 2022, 112155. https://doi.org/10.1016/j.oceaneng.2022.112155
14. AlHamaydeh, M., Markou, G., Bakas P.N. and Papadrakakis, M. (2022), AI-Based Shear Capacity of FRP-Reinforced Concrete Deep Beams without Stirrups, Engineering Structures, Engineering Structures, 264 (2022), 114441. https://doi.org/10.1016/j.engstruct.2022.114441
15. Vorster, M., van der Vyfer, P.J. and Markou, G. (2022), The Effect of Different Molar Access Cavity Designs on Root Canal Shaping Times using Rotation and Reciprocation Instruments in Mandibular First Molars, Journal of Endodontics, Volume 48, Issue 7, July 2022, Pages 887-892, DOI: https://doi.org/10.1016/j.joen.2022.03.011 .
16. Markou, G. and Bakas P.N. (2021), Prediction of the Shear Capacity of Reinforced Concrete Slender Beams without Stirrups by Applying A.I. Algorithms, Computers and Concrete, Vol. 28, No. 6 (2021) 433-447. https://doi.org/10.12989/cac.2021.28.6.533
17. Markou, G., Garcia, R., Mourlas, C., Guadagnini, M., Pilakoutas, K. and Papadrakakis, M. (2021), A New Damage Factor for Seismic Assessment of Deficient Bare and FRP-Retrofitted RC Structures, Engineering Structures, 248 (2021), 113152. https://doi.org/10.1016/j.engstruct.2021.113152
18. Markou, G. (2021), A New Method of Seismic Retrofitting Cost Analysis and Effectiveness for Reinforced Concrete Structures, Engineering Structures, 246 (2021), 113083. https://doi.org/10.1016/j.engstruct.2021.113083
19. Gravett, Z.D., Mourlas, C., Taljaard V.L., Bakas P.N., Markou, G. and Papadrakakis, M. (2021), New Fundamental Period Formulae for Soil-Reinforced Concrete Structures Interaction Using Machine Learning Algorithms and ANNs, Soil Dynamics and Earthquake Engineering, 144 (2021), 106656. https://doi.org/10.1016/j.soildyn.2021.106656
20. Gravett, Z.D. and Markou, G. (2021), State-of-the-art Investigation of Wind Turbine Structures Founded on Soft Clay by Considering the Soil-Foundation-Structure Interaction Phenomenon – Optimization of Battered RC Piles, Engineering Structures, 235, 112013. https://doi.org/10.1016/j.engstruct.2021.112013
21. Markou G. and Roeloffze W. (2021), Finite Element Modelling of Plain and Reinforced Concrete Specimens with the Kotsovos and Pavlovic Material Model, Smeared Crack Approach and Fine Meshes, International Journal of Damage Mechanics (Impact Factor: 3.125), 2021;30(6):845-871, https://doi.org/10.1177/1056789520986601.
22. Mourlas, Ch., Khabele, N., Bark, H.A., Karamitros, D., Taddei, F., Markou, G. and Papadrakakis, M. (2020), The Effect of Soil-Structure Interaction on the Nonlinear Dynamic Response of Reinforced Concrete Structures, International Journal of Structural Stability and Dynamics (Impact Factor: 2.015), Vol. 20, No. 13, 2041013 (2020), https://doi.org/10.1142/S0219455420410138.
23. Rosado‐Tamariz, E., Genco, F., Campos‐Amezcua, A., Markou, G. and Batres, R. (2020), Enhanced dynamic simulation approach towards the efficient mining thermal energy supply with improved operational flexibility, International Journal of Energy Research (Impact Factor: 3.400), https://doi.org/10.1002/er.6089.
24. Markou, G. and Genco, F. (2019), “Seismic Assessment of Small Modular Reactors: NuScale Case Study for the 8.8 Mw Earthquake in Chile”, Nuclear Engineering and Design, 342(2019), pp. 176-204. https://doi.org/10.1016/j.nucengdes.2018.12.002
25. Mourlas, C., Markou, G. and Papadrakakis, M. (2019), “Accurate and Computationally Efficient Nonlinear Static and Dynamic Analysis of Reinforced Concrete Structures Considering Damage Factors”, Engineering Structures, 178 (2019), pp. 258–285. https://doi.org/10.1016/j.engstruct.2018.10.034
26. Markou, G., Mourlas, C. and Papadrakakis, M. (2019), “Computationally Efficient and Robust Nonlinear 3D Cyclic Modeling of RC Structures Through a Hybrid Finite Element Model (HYMOD)”, International Journal of Computational Methods, 16(1), 1850125: 1-40. https://doi.org/10.1142/S0219876218501256
27. Markou, G., Mourlas, C., Bark, H. and Papadrakakis, M. (2018), “Simplified HYMOD Non-Linear Simulations of a Full-Scale Multistory Retrofitted RC Structure that Undergoes Multiple Cyclic Excitations – An infill RC Wall Retrofitting Study”, Engineering Structures, 176 (2018), pp. 892–916. https://doi.org/10.1016/j.engstruct.2018.08.002
28. Markou, G. and AlHamaydeh, M. (2018), “3D Finite Element Modeling of GFRP-Reinforced Concrete Deep Beams without Shear Reinforcement”, International Journal of Computational Methods, 15(1), pp. 1-35. https://doi.org/10.1142/S0219876218500019
29. Markou, G., Mourlas, C. and Papadrakakis, M. (2017), “Cyclic Nonlinear Analysis of Large-Scale Finite Element Meshes Through the Use of Hybrid Modeling (HYMOD)”, International Journal of Mechanics, 11(2017), pp. 218-225.
30. Mourlas, C., Papadrakakis, M. and Markou, G. (2017), “A Computationally Efficient Model for the Cyclic Behavior of Reinforced Concrete Structural Members”, Engineering Structures, 141, pp. 97–125. https://doi.org/10.1016/j.engstruct.2017.03.012
31. Nicolaides, D. and Markou, G., “Modelling the Flexural Behaviour of Fibre Reinforced Concrete Beams with FEM”, Engineering Structures, 99, pp. 653–665, 2015. https://doi.org/10.1016/j.engstruct.2015.05.028
32. Markou, G., Sabouni, R., Suleiman, F. and El-Chouli, R. (2015), “Full-Scale Modeling of the Soil-Structure Interaction Problem Through the use of Hybrid Models (HYMOD)”, International Journal of Current Engineering and Technology, 5 (2), pp. 885-892.
33. Markou, G. (2015), “Computational performance of an embedded reinforcement mesh generation method for large-scale RC simulations”, International Journal of Computational Methods, 12(3), 1550019-1:48. https://doi.org/10.1142/S021987621550019X
34. Markou, G. and Papadrakakis, M., “A Simplified and Efficient Hybrid Finite Element Model (HYMOD) for Non-Linear 3D Simulation of RC Structures”, Engineering Computations, 32 (5), pp. 1477-1524, 2015. DOI 10.1108/EC-11-2013-0269
35. Markou, G. and Papadrakakis, M., “Accurate and Computationally Efficient 3D Finite Element Modeling of RC Structures”, Computers & Concrete, 12 (4), pp. 443-498, 2013. https://doi.org/10.12989/cac.2013.12.4.443
36. Markou, G., “Embedded reinforcement mesh generation method for large-scale RC simulations: Case study”, AHU Journal of Engineering and Applied Sciences, 5 (1), pp. 23-42, 2013.
37. Markou, G. and Papadrakakis, M., “An Efficient Generations Method of Embedded Reinforcement in Hexahedral Elements for Reinforced Concrete Simulations”, Advances in Engineering Software ADES, 45 (1), pp. 175-187, 2012. https://doi.org/10.1016/j.advengsoft.2011.09.025
38. Markou, G. and Papadrakakis, M., “Modeling of Reinforced Concrete Structures with 3d detailed finite element models”, AHU Journal of Engineering and Applied Sciences, 4 (2), pp 47-63, 2012.
39. Markou, G., Mouroutis, Z.S., Charmpis, D.C. and Papadrakakis, M., “The Ortho-Semi-Torsional (OST) spring analogy method for 3D mesh moving boundary problems”, Computer Methods in Applied Mechanics and Engineering, 196, pp. 747-765, 2007. https://doi.org/10.1016/j.cma.2006.04.009
40. Mouroutis, Z.S., Markou, G., Charmpis, D.C. and Papadrakakis, M., “An efficient mesh updating technique for fluid-structure interaction problems”, International Journal of Computational Methods, 4 (2), pp. 249-263, 2007.
Book Chapters
1. Markou, G. Bakas, N. and van der Westhuizen, AM. (2022), “Use of AI and ML Algorithms in developing closed-form formulae, for Structural Engineering Design”, Handbook of Research on Artificial Intelligence and Machine Learning in Civil Engineering, Accepted for publication. DOI: 10.4018/978-1-6684-5643-9.ch004
2. Papadrakakis, M., Markou, G. (2022). Assessment of the Structural Response of Steel Reinforced and Steel-Fibre Reinforced Concrete Structures with 3D Detailed Modeling: Limitations and Remedies. In: Aldakheel, F., Hudobivnik, B., Soleimani, M., Wessels, H., Weißenfels, C., Marino, M. (eds) Current Trends and Open Problems in Computational Mechanics. Springer, Cham. https://doi.org/10.1007/978-3-030-87312-7_38.
International Refereed Conferences
1. David J. Galbraith, George Markou, and Anthos I. Ioannou, Developing an accurate predictive model for computing the shear capacity of columns through the use of advanced machine learning algorithms, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
2. Koketso Lucas, Kevin Braun, George Markou, Development of predictive models for computing the strength of SFRC beams through a large dataset, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
3. Dimitra Gkogkidou, and George Markou, Retrofitting of earthquake-damaged reinforced concrete structures through kan.epe. and 3d detailed modeling, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
4. Jack Huang, André Broekman, George Markou, and Hua–Peng Chen, Framework for a practical and cost-effective IoT-enhanced structural health monitoring and damage diagnostics system with digital twinning, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
5. Kevin Braun and George Markou, A parametric investigation of train-test ratios for machine learning algorithms analysing load-displacement behaviour in reinforced concrete piles, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
6. Duan Calitz, Asma Yahiaoui, George Markou, and Saida Dorbania, Use of HPC in the development of large datasets for the development of predictive models through machine learning algorithms, 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2025, 15-18 June 2025, Rhodes Island, Greece.
7. George Markou, Advances in Finite Element Modeling, Machine Learning and SMART Monitoring of Structures, 7th Ganjiang Academic Forum on Civil Engineering, Guangzhou, China, 17-19 May 2024.
8. Daniel Rademan and Geroge Markou, A Parametric Investigation of the Train-Test Ratio for Machine Learning Algorithms in Structural Mechanics Applications, ECCOMAS 2024, Portugal, 3-7 June 2024.
9. Ernie, Kevin Braun and George Markou, Investigating SFRC Jacketing for Seismic Retrofitting of Reinforced Concrete Multistorey Buildings, ECCOMAS 2024, Portugal, 3-7 June 2024.
10. P.C. Hume, P.J. Gräbe, G. Markou, Using Machine Learning Techniques as Track Geometry Predictors for Railway Track, SATC 2024, South Africa.
11. Duan Calitz, George Markou, Nikolaos Bakas and Manolis Papadrakakis, Developing Fundamental Period Formulae for Steel Framed Structures Through Machine Learning and Automated Algorithms, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
12. (keynote) Ashley Megan van der Westhuizen, Nikolaos Bakas and George Markou, Developing an Artificial Neural Network Model that Predicts the Fundamental Period of Steel Structures Using a Large Dataset, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
13. Daniel Rademan and George Markou, Investigating the Soil Stress Levels for Different Pile Geometries Under Different Loading Configurations, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
14. Christos Mourlas, George Markou and Manolis Papadrakakis, A 3D Fracture Energy-Based Smeared Crack Approach for the Nonlinear Behavior of Reinforced Concrete Structures, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
15. Victor T. Chibaya, George Markou and Nikolaos Bakas, Development of Formulae for the Section Rotations due to Bending of Curved Steel I-Beams through AI and ML Algorithms, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
16. Michael Jung and George Markou, Numerical Investigation of Retrofitting Waffle Slabs with Carbon Fibre Reinforced Polymer Plates, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
17. Nikolaos Bakas, Andreas Athenodorou, Nana Anastasopoulou, Katerina Kyprianou, George Katsikatsos and George Markou, A bibliometric overview of Open Science research, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
18. Anthos I. Ioannou, Stavroula J. Pantazopoulou, Michael F. Petrou, Dimos C. Charmpis, Nikolaos Bakas, Ashley Megan van der Westhuizen and George Markou, Prediction of Reinforced Concrete Column Limit States Using Machine Learning Algorithm, COMPDYN 2023, 12-14 June 2023, Athens, Greece.
19. Ashley van der Westhuize, George Markou and Nikolaos Bakas, Development of a New Fundamental Period Formula for Steel Structures Considering the Soil-structure Interaction with the Use of Machine Learning Algorithms, ICAART 2022, February 3-5, 2022.
20. Nathan Carstens, George Markou and Nikolaos Bakas, Improved Predictive Fundamental Period Formula for Reinforced Concrete Structures through the Use of Machine Learning Algorithms, ICAART 2022, February 3-5, 2022.
21. Elvis Ababu, George Markou and Nikolaos Bakas, Using Machine Learning and Finite Element Modelling to Develop a Formula to Determine the Deflection of Horizontally Curved Steel I-beams, ICAART 2022, February 3-5, 2022.
22. Zelda Spijkerman, Nikolaos Bakas, George Markou and Manolis Papadrakakis, “Predicting the Shear Capacity of Reinforced Concrete Slender Beams Without Stirrups by Applying Artificial Intelligence Algorithms”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
23. Dewald Gravett and George Markou, “A New Parallel Algorithm for the Optimum Embedded Rebar Mesh Generation for Large-Scale Reinforced Concrete Structures”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
24. Vicky-Lee Taljaard, Dewald Z. Gravett, Christos Mourlas, Nikolaos Bakas, George Markou and Manolis Papadrakakis, “Development of a New Fundamental Period Formula by Considering Soil-Structure Interaction with the Use of Machine Learning Algorithms”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
25. Dewald Gravett and George Markou, “Investigation of Wind Turbine Structures Founded on Soft Clay – Optimization of Battered Piles”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
26. Nikolaos Bakas, George Markou, Dimos Charmpis and Kyriakos Hadjiyiannakou, “Performance and scalability of deep learning models trained on a hybrid supercomputer: Application in the prediction of the shear strength of reinforced concrete slender beams without stirrups”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
27. Nikolaos Bakas, Neofytos Christofi, John Bellos, Dimitrios Antoniou and George Markou, “Links of Aesthetic value of Multi-Curvature Artifacts, with their Structural Behavior, utilizing Machine Learning Algorithms”, COMPDYN 2021, 27-30 June 2021, Streamed from Athens, Greece.
28. (Plenary) Manolis Papadrakakis, Christos Mourlas and George Markou, “Seismic Assessment of Reinforced Concrete Structures based on State-of-the-art 3D Detailed Nonlinear Finite Element Simulations”, 3rd International Conference on Computational Engineering and Science for Safety and Environmental Problems, 8-11 December 2020, Kobe, Japan.
https://www.compsafe2020.org/index.html
29. Mourlas, C., Gravett, D.Z., Markou, G., and Papadrakakis, M., “Investigation of the Soil Structure Interaction Effect on the Dynamic Behavior of Multistorey RC Buildings”, VIII International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019, 3-5 June 2019, Sitges, Catalonia, Spain.
30. Markou, G., Mourlas, C., Garcia, R., Pilakoutas, K. and Papadrakakis, M., “Cyclic Nonlinear Modeling of Severely Damaged and Retrofitted Reinforced Concrete Structures”, COMPDYN 2019, 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 24-26 June 2019, Crete, Greece.
31. Gravett, D.Z., Mourlas, C., Markou, G., and Papadrakakis, M., “Numerical Performance of a New Algorithm for Performing Modal Analysis of Full-Scale Reinforced Concrete Structures that are Discretized with the HYMOD Approach”, COMPDYN 2019, 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 24-26 June 2019, Crete, Greece.
32. Mourlas, C., Markou, G., and Papadrakakis, M., “3D Detailed Modeling of Reinforced Concrete Frames Considering accumulated damage during static cyclic and dynamic analysis – new validation case studies”, COMPDYN 2019, 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 24-26 June 2019, Crete, Greece.
33. Markou, G., “A Parallel Algorithm for the Embedded Reinforcement Mesh Generation of Large-Scale Reinforced Concrete Models”, 9th GRACM International Congress on Computational Mechanics, Chania, Greece, 4-6 June 2018, pp. 211-218.
34. Markou, G., AlHamaydeh, M. and Saadi, D., “Effects of the Soil-Structure-Interaction Phenomenon on RC Structures with Pile Foundations”, 9th GRACM International Congress on Computational Mechanics, Chania, Greece, 4-6 June 2018, pp. 338-345.
35. Mourlas, C., Markou, G. and Papadrakakis, M., “Accumulated Damage in Nonlinear Cyclic Static and Dynamic Analysis of Reinforced Concrete Structures Through 3D Detailed Modeling”, 9th GRACM International Congress on Computational Mechanics, Chania, Greece, 4-6 June 2018, pp. 38-46.
36. Saadi, D., AlHamaydeh, M. and Markou, G., “Investigation of Soil-Structure-Interaction Effects on RC Shear Wall Structures via Nonlinear FEA”, UAEGSRC2018, The Fourth UAE Graduate Students Research Conference, American University of Sharjah, UAE, April 21, 2018.
37. Mourlas, C., Markou, G. and Papadrakakis, M., “3D nonlinear constitutive modeling for dynamic analysis of reinforced concrete structural members”, 10th International Conference on Structural Dynamics, EURODYN, 10-13 September 2017, Sapienza Universita di Roma, Roma, Italy.
38. Mourlas, C., Papadrakakis, M. and Markou, G., “Computationally efficient and accurate modeling of the cyclic behavior of reinforced concrete structural members under ultimate limit state conditions”, 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 15-17 June 2017, Rhodes Island, Greece.
39. AlHamaydeh, M., Markou, G. and Saadi, D., “Nonlinear FEA of Soil-Structure-Interaction Effects on RC Shear Wall Structures”, 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 15-17 June 2017, Rhodes Island, Greece.
40. Mourlas, C., Papadrakakis, M. and Markou, G., “Accurate and Efficient Modeling for the Cyclic Behavior of RC Structural Members”, ECCOMAS Congress, VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 5–10 June 2016.
41. Bark, H., Markou, G., Mourlas, C. and Papadrakakis, M., “SEISMIC ASSESSMENT OF A 5-STOREY RETROFITTED RC BUILDING”, ECCOMAS Congress, VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 5–10 June 2016.
42. Markou, G., “Numerical Investigation of a 3D Detailed Limit-State Simulation of a Full-Scale RC Bridge”, SEECCM III, 3rd South-East European Conference on Computational Mechanics, Kos Island, Greece, 12–14 June 2013.
43. Markou, G., “Generating Embedded Rebar Elements for Large-Scale RC Models”, SEECCM III, 3rd South-East European Conference on Computational Mechanics, Kos Island, Greece, 12–14 June 2013.
44. Markou, G. and Papadrakakis, M., “NONLINEAR SIMULATION OF REAL-SCALE RC STRUCTURES WITH DETAILED AND HYBRID FINITE ELEMENT MODELS”, 7th GRACM International Congress on Computational Mechanics, Athens, 30 June – 2 July 2011.
45. Markou, G. and Papadrakakis, M., “3D Mesh Update Techniques in Fluid-Structure Interaction Problems”, 9th HSTAM International Congress on Mechanics, Limassol, Cyprus, 12 – 14 July, 2010.
46. Markou, G. and Papadrakakis, M., “Generating Embedded Reinforcement in Hexahedral Elements for Concrete Simulation”, 9th HSTAM International Congress on Mechanics, Limassol, Cyprus, 12 – 14 July, 2010.
47. Markou, G. and Papadrakakis, M., “Detailed Three-Dimensional Modeling of Reinforced Concrete Structures”, 9th HSTAM International Congress on Mechanics, Limassol, Cyprus, 12 – 14 July, 2010.
48. Markou, G. and Papadrakakis, M., “MESH UPDATE TECHNIQUES: ROBUSTNESS AND EFFICIENCY”, Int. Conf. on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2007, Santa Eulalia, Ibiza, Spain.
49. Markou, G. and Papadrakakis, M., “Numerical study of four mesh update techniques”, First South-East European Conference on Computational Mechanics SEECCM-06, June 28-30, 2006, Kragujevac, Serbia and Montenegro.
50. Mouroutis, Z.S., Markou, G., Charmpis, D.C., Koubogiannis, D.G. and Papadrakakis, M., “An efficient mesh updating technique for fluid structure interaction problems”, Int. Conf. on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS, Santorini, May 2005.
Local Journals, Newspapers and Others
1. Markou, G. (2023), Could Turkey’s Mega-Disaster Have Been Avoided?, OpEd
2. A deeper view in wind turbine structural response through 3D detailed modeling, Advances in Engineering, link:
https://advanceseng.com/wind-turbine-structural-response-through-3d-detailed-modeling/
3. Markou, G. and Bakas, N.P., (2022), “How the use of Artificial Intelligence and Machine Learning technology is engaged to develop more accurate design formulae for Civil Engineering structures. Current and future research work”, Innovate, University of Pretoria, South Africa.
4. Markou, G. and Bakas, N.P., (2021), “Developing reinforced concrete structures through AI algorithms and large-scale modelling”, Innovate, University of Pretoria, South Africa.
5. Markou, G. and Bakas, N.P., (2020), “Predicting the behaviour of reinforced concrete structures”, Innovate, University of Pretoria, South Africa.
6. Markou, G. and Bakas, N.P., (2019), “Artificial Intelligence (A.I.) Reinforced Concrete. Algorithms predict concrete strength without training on experimental data”, Innovate, University of Pretoria, South Africa.
7. H. Ali Bark and Markou, G. (2016), “Modeling, Analysis and Design of Reinforced Concrete Retrofitted Structures”, The 4th United Arab Emirates Undergraduate Research Competition, Abu Dhabi University.
8. Markou, G. (Interview Sep 2014), “We must take into account seismic loads during designing”, The Gulf Times, Abu Dhabi, UAE.
9. Markou, G. (Interview Sep 2014), “We must take into account seismic loads during designing”, Al-Watan newspaper, Abu Dhabi, UAE, (in Arabic).
10. Markou, G., L. Maher, A. Al-Falasi and H. Walid (2012), “Modeling and Design of a High-Rise Reinforced Concrete Structure”, ALHOSN University, Department of Civil Engineering, UAE.
11. Reconan FEA v2.00, User’s Manual. 2020.
12. Reconan FEA v3.00, User’s Manual. 2026. (replaced by v4.33)
13. Reconan FEA v4.33, User’s Manual. 2026.
14. ReConAn FEA (2026). ReConAn FEA Standalone, Version 0.4.75: User’s Manual. ReConAn FEA solver v4.433. Unpublished software documentation, available from the author on request.
Books
1. Markou, G., Modeling of Reinforced Concrete Structures – Detailed Three-Dimensional Nonlinear Hybrid Simulation for the Analysis of Large-Scale Reinforced Concrete Structures, Lambert Academic Publishing, ISBN: 978-3-8454-4325-6, 2011.
