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1	Structural Optimization Modeling and Simulation, organised by: Dr M.M. Rad, Prof. R. Cucuzza, Prof. M. Domaneschi, Prof. G.C. Marano and Prof A.M.B. Martins
1.1	Multi-Objective Shape Optimization of Multi-Axis Wave Energy Converter A. Shadmani, M.R. Nikoo and A.H. Gandomi
1.2	A Tractable Robust Topology Optimization for Anomalous Non-Symmetric Cases A. Csébfalvi and J. Lógó
1.3	Computational framework for a family of methods for stress-constrained topology optimization J. Lógó, P. Tauzowski and B. Blachowski
1.4	Optimisation of Pre-cast Slab Systems for Large Span Floors and Roofs B. Raphael
1.5	Construction-based optimization criteria for steel trusses R. Cucuzza, M. Domaneschi, J.C.O. Garcia, M.M. Rad and M. Habashneh
1.6	Enhancing thermal topology optimization with an elasto-plastic algorithm M.M. Rad, M. Habashneh, R. Cucuzza, M. Domaneschi and J. Melchiorre
1.7	Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing N. Yabuki, J. Makino and T. Fukuda
1.8	On design-dependent loads in a NURBS-density-based topology optimisation method E. Urso, S. Zerrouq and M. Montemurro
1.9	Optimization of bowstring tied-arch concrete bridges A.M.B. Martins, L.M.C. Simoes and J.H.J.O. Negrao
1.10	A surrogate model based on NURBS entities for engineering problems B. Vuillod, M. Zani, L. Hallo, E. Panettieri and M. Montemurro
1.11	SCF Prediction using the Finite Element Method Coupled with Sobol Sampling and Bayesian Optimization A. Mohammed, S. R. Dasari and Y. M. Desai
1.12	On Filtering Techniques for Topology Optimisation based on B-Spline Entities S. Zerrouq and M. Montemurro
2	Machine Learning-Assisted Structural Optimization, organised by Prof. W. Zhang, Prof. G. Yoon, Prof. A. Takezawa, Prof. S. Ryu, Prof. X. Guo, Prof. S. Youn and Prof. G. Cheng
2.1	Topology optimization considering the effect of two-phase fluid G.H. Yoon
2.2	Machine-learning assisted topology optimization with structural gene inheritance W. Zhang, S.-K. Youn and X. Guo
2.3	Multi-objective Optimisation of Dynamic Properties and Cost of a Composite Shell B. Miller and L. Ziemianski
2.4	Sketch driven machine-learning based topology optimization Y. Wang, W. Zhang, S.-K. Youn and X Guo
2.5	A stepwise Bayesian updating approach by enhancing an active learning Gaussian process regression model J. Song and W. Zhang
2.6	Topology optimization of acoustic-structural systems based on deep transfer learning framework for enhancing sound quality L. Xu, W.S. Zhang and X. Guo
3	Modelling Cementitious Composites Behaviour Aided with Machine Learning, organised by Dr S. Czarnecki, Prof. L. Sadowski and S. Malazdrewicz
3.1	Eco-friendly mortars with granite powder and fly ash and their prediction with artificial neural networks S. Malazdrewicz and L. Sadowski
3.2	A Comparison of Neural Networks and Random Forest for predicting the subsurface tensile strength of cementitious composites containing waste materials S. Czarnecki and M. Moj
4	Scientific Machine Learning (PINNs), organised by Prof. T. Rabczuk, Dr. C. Anitescu and Prof. F. Magoules
4.1	Domain decomposition deep energy method for phase field analysis in brittle fracture A. Chakraborty, C. Anitescu, S. Goswami, X. Zhuang and T. Rabczuk
4.2	Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries M. Chenaud, F. Magoules and J. Alves
4.3	Deep Learning Approach to Predict Acoustic Field in Transcranial Focused Ultrasound M. Jang, M. Choi, I. Jeong, S.S Yoo, K. Yoon and G. Noh
5	Advanced lightweight structural design, organised by Prof. W. Zhang, Assoc. Prof. L. Meng, Assoc. Prof. M. Bruggi, and Assoc. Prof. M. Langelaar
5.1	Shedding light on the impact-resisting mechanism of tension-torsion coupling metamaterials L. Meng and M. Zhong
5.2	Form-finding of reticulated shells for a given plan layout with geometric constraints M. Bruggi, B. Toth and J. Logo
5.3	Revisiting the Fibonacci spiral pattern for stiffening rib design L. Meng and J. Zhang
5.4	The effect of non-locality (or size-dependency) on optimum topologies (or material layouts) M. Tuna, P. Trovalusci and N. Fantuzzi

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