2024

1. Callens, R., Moens, D., Faes, M. (2024)
   Certified interval model updating using scenario optimization
   Presented at AIAA SciTech Forum, Orlando, Florida, January 8-12, 2024

2023

1. Feng, C., Faes, M., Broggi, M., Beer, M. (2023).
   Application of Interval Field Method to the Stability Analysis of Slopes in the Presence of Uncertainties
   Presented at Geo-Risk 2023, Arlington, Virginia, July 23-26, 2023.
    
2. Valdebenito, M., Faes, M., Misraji, M., Jerez, D., Beer, M. (2023).
   First Excursion Probability Sensitivity Estimation by means of Multidomain Line Sampling
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
3. Feng, C., Broggi, M., Faes, M., Beer, M. (2023).
   Geotechnical uncertainty analysis with sparse data using interval field method
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
4. Hong, F., Wei, P., Song, J., Valdebenito, M., Faes, M., Beer, M. (2023).
   A Collaborative Bayesian Optimization Method for estimation of Failure probability bounds under mixed uncertainties
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
5. Liu, J., Dang, C., Faes, M., Valdebenito, M., Beer, M. (2023).
   Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
6. Faes, M., Klein, N., Pauly, M., Valdebenito, M., Misraji, M. (2023). 
   Approximate Bayesian Computation for Parameter Identification in Computational Mechanics
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
7. Fina, M., Faes, M., Valdebenito, M., Wagner, W., Broggi, M., Beer, M., Freitag S. (2023).
   Uncertainty Quantification of Buckling Loads of Thin and Slender Structures Applying Linear and Nonlinear Analysis
   Presented at the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14 Dublin, Ireland, July 9-13, 2023
    
8. Ni, P., Jerez, D., Fragkoulis, V., Mitseas, I., Faes, M., Valdebenito, M., Beer, M. (2023).
   Probability of failure of nonlinear oscillators with fractional derivative elements subject to imprecise Gaussian loads
   Presented at Eurodyn2023, the XIIth International Conference on Structural Dynamics, Delft, The Netherlands, 02-05 July 2023.
    
9. Behrendt, M., Dang, C., Faes, M., Valdebenito, M., Beer, M. (2023).
   Structural reliability analysis using imprecise evolutionary power spectral density functions.
   Presented at Eurodyn2023, the XIIth International Conference on Structural Dynamics, Delft, The Netherlands, 02-05 July 2023.
    
10. Valdebenito. M., Faes, M., Misraji, M., Jerez, D., Beer, M. (2023).
    On The Application Of Multidomain Line Sampling For Reliability And Sensitivity Analysis In Stochastic Linear Dynamics
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
11. Misraji, M.,Faes, M.,Valdebenito. M. (2023).
    Application Of Directional Importance Sampling For Estimation Of First Excursion Probabilities Of Nonlinear Conservative Sdof Systems Subject To Gaussian Stochastic Loading.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
12. Manque, N., Valdebenito, M., Faes, M., Beaurepaire, P. (2023).
    A Reduced Order Model Approach for Fuzzy Field Analysis.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
13. Ypsilantis, K., Faes, M., Ivens, J., Moens, D. (2023).
    Robust Topology Optimization For Fiber-Reinforced Composites Under Material Uncertainty.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
14. Ascia, P., Faes, M., Duddeck, F. (2023).
    Quantifying The Epistemic Uncertainty Linked To The Development Process Of An Early- Stage Component For Crashworthiness.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
15. Dodt, M., Persoons, A., Faes, M., Moens, D. (2023).
    A Self-Learning Digital Twin For Process Control Of Fast Processes Under Uncertainty.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
16. Behrendt, M. Faes, M., Valdebenito, M., Beer, M. (2023).
    Bounding Limited Data Sets Of Power Spectral Density Functions For Uncertainty Quantification.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     
17. Callens, R., Faes, M., Moens, D. (2023).
    Certified Interval Model Updating Using Scenario Optimisation.
    Presented at the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Athens, Greece, 12-14 June 2023.
     

2022

1. Faes. M., Fina, M., Lauff, C., Valdebenito, M., Wagner, W., Freitag, S. (2022).
   Bounding the first excursion probability of stochastic oscillators under randomness and imprecision. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
2. Van Bavel, B., Zhao, Y., Vandepitte, D., Moens, D., Faes, M. (2022).
   Bridging the composite meso-macro gap: A numerically efficient spatial uncertainty quantification approach. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
3. Bonnet-Eymard, D., Faes, M., Moens, D. (2022). 
   Physics informed neural network as surrogate model to quantify the uncertainty of the elastic response of a material. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
4. Dodt, M., Persoons, A., Faes, M., Moens, D. (2022). 
   Active Learning in Grey-Box Models for near-real-time Online Monitoring of Dynamic Processes. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
5. Barzanooni, R., van Mierlo, K. Pabst, M., Faes, M., Moens, D., Duddeck, F. (2022). 
   Evaluation of uncertain boundary conditions for analysis of structural components with respect to crashworthiness. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
6. Callens, R., Moens, D., Faes, M. (2022). 
   Multilevel Quasi-Monte Carlo for interval analysis in structural dynamics. 
   Presented at the International Conference on Noise and Vibration Engineering (ISMA) / International Conference on Uncertainty in Structural Dynamics (USD), Leuven, BELGIUM, 12 Sep 2020-14 Sep 2022.
    
7. Fina, M. , Faes, M., Valdebenito, M., Wagner, W., Broggi, M., Beer, M., Freitag, S. (2022).
   Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear
   Analysis.
   Presented at the 8th International Symposium on Reliability Engineering and Risk Management, Hannover, Germany
    
8. Faes, M., Fina, M., Valdebenito, M., Lauff, C., Wagner, W., Freitag, S., Beer, M. (2022).
   Bounding Failure Probabities in Imprecise Stochastic FE Models. 
   Presented at the 8th International Symposium on Reliability Engineering and Risk Management, Hannover, Germany
    
9. Dang, C., Wei, P., Faes, M., Beer, M. (2022). 
   Estimation of response expectation function under hybrid uncertainties by parallel Bayesian quadrature optimization. 
   Presented at the 8th International Symposium on Reliability Engineering and Risk Management, Han­no­ver, Germany
    
10. Sharifi-Nik, K., Ghohani-Arab1, H., Rashki, M., Faes, M. (2022). The proposed rank-based active learning Kriging for efficient structural reliability analysis using weighted average simulation method. Presented at the 8th International Symposium on Reliability Engineering and Risk Management, Han­no­ver, Germany
     
11. Faes, M., Valdebenito, M. (2022).
    A Fully Decoupled Reliability-Based Design Optimization Approach.
    Presented at the 13th International Conference on Structural Safety & Reliability, Shanghai, P.R. China.
     
12. Faes, M., Valdebenito, M., Moens, D., Beer, M. (2022). 
    On the efficient propagation of imprecise probabilities via operator norm theory.
    Presented at the 13th International Conference on Structural Safety & Reliability, Shanghai, P.R. China.
     
13. Behrendt, M., Faes, M., Valdebenito, M., Beer, M. (2022). 
    Capturing Epistemic Uncertainties in the Power Spectral Density for Limited Data Sets.
    Presented at the Probabilistic Safety Assessment and Management PSAM 16, Honolulu, Hawaii, June 26-July 1, 2022.