Probabilistically-robust performance optimization for controlled linear stochastic systems. - Alexandros A. Taflanidis; Jeffrey T. Scruggs (ACC, 2009)

Stochastic subset optimization incorporating moving least squares response surface methodologies for stochastic sampling. - Alexandros A. Taflanidis (Adv. Eng. Softw., 2012)

Offshore wind turbine risk quantification/evaluation under extreme environmental conditions. - Alexandros A. Taflanidis; Eva Loukogeorgaki; Demos C. Angelides (Reliab. Eng. Syst. Saf., 2013)

Adaptive kriging for simulation-based design under uncertainty development of metamodels in augmeted input space and adaptive tuning of their characteristics. - Alexandros A. Taflanidis; Juan Camilo Medina (SIMULTECH, 2014)

Simulation-Based Optimization in Design-Under-Uncertainty Problems Through Iterative Development of Metamodels in Augmented Design/Random Variable Space. - Alexandros A. Taflanidis; Juan Camilo Medina (SIMULTECH (Selected Papers), 2014)

Non-parametric stochastic subset optimization utilizing multivariate boundary kernels and adaptive stochastic sampling. - Gaofeng Jia; Alexandros A. Taflanidis (Adv. Eng. Softw., 2015)

Special Issue: Civil-Comp. - Yiannis Tsompanakis; Peter Iványi; André Teófilo Beck; Michael Beer; L. F. Costa Neves; Maria Girardi; H. A. J. Jensen; Kurt Marti; N. L. Rizzi; J. G. Santos da Silva; Alexandros A. Taflanidis; Barry H. V. Topping (Adv. Eng. Softw., 2015)

Multi-objective optimal design of inerter-based vibration absorbers for earthquake protection of multi-storey building structures. - Alexandros A. Taflanidis; Agathoklis Giaralis; D. Patsialis (J. Frankl. Inst., 2019)

Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. - Jize Zhang; Alexandros A. Taflanidis; Jeffrey T. Scruggs (J. Comput. Phys., 2020)

Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. - Ehsan Adeli 003; Jize Zhang; Alexandros A. Taflanidis (CoRR, 2021)

Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction. - WoongHee Jung; Alexandros A. Taflanidis (Reliab. Eng. Syst. Saf., 2023)

An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. - Ehsan Adeli 003; Luning Sun; Jianxun Wang 007; Alexandros A. Taflanidis (Neural Comput. Appl., 2023)

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions. - WoongHee Jung; Alexandros A. Taflanidis; Aikaterini P. Kyprioti; Jize Zhang (Reliab. Eng. Syst. Saf., 2024)