Vorträge von Prof. Dr.-Ing. Michael Beer

Konferenzbeiträge

• Winnewisser, N.R., Saleem, S., Shi, Y., Hennig, L. , Salomon, J., Broggi, M., Beer, M. (2024): Resilience-Based Optimization of Life Cycle Measure Strategies Considering Adaptiveness in the Context of Linked Data Models,  Proceedings 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2024) & 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA2024). Shanghai, China.
• Winnewisser, N. R., Salomon, J., Broggi, M., Beer, M. (2023): The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems.,  Infrastructure Innovation & Adaptation for a Sustainable & Resilient World (INSPIRE) Conference Proceedings. pp. 258-266. Virginia, USA.
• Behrendt, M.; Bittner, M.; Beer, M. (2022): Stochastic process generation from relaxed power spectra utilising stochastic harmonic functions,  Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), Hannover, Germany.
  DOI: 10.3850/978-981-18-5184-1_MS-01-220-cd
• Behrendt, M.; de Angelis, M.; Comerford, L.; Beer, M. (2022): Assessing the severity of the missing data problem with the interval DFT algorithm,  Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland.
  DOI: 10.3850/978-981-18-5183-4_S14-05-243-cd
• Behrendt, M.; Kitahara, M.; Kitahara, T.; Comerford, L.; Beer, M. (2022): Classification of power spectra from data sets with high spectral variance for reliability analysis of dynamic structures,  Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)
  DOI: 10.3850/978-981-18-5184-1_MS-11-160-cd
• Fragkoulis V. C.; Kougioumtzoglou I. A.; Pantelous A. A.; Beer M. (2022): Joint statistics of natural frequencies of linear structural systems with singular matrices,  Proceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
• Goeing, J., Seehausen, H., Stania, L., Nuebel, N., Salomon, J., Ignatidis, P., Dinkelacker, F., Beer, M., Denkena, B., Seume, J.R., Friedrichs, J. (2022): Virtual Process for Evaluating the Influence of Real Combined Module Variations on the Overall Performance of an Aircraft Engine.,  GPPS Chania22 Technical Paper Proceedings, Chania, Greece.
  DOI: 10.33737/gpps22-tc-89
• Kitahara, M.; Bi, S.; Broggi, M.; Beer, M. (2022): Adaptive Kriging surrogate model for Bayesian model updating with Bhattacharyya distance metric,  Proceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022), China.
• Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Response of an MDOF nonlinear system with constraints under combined deterministic and non-stationary stochastic excitation,  Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), 4-7 September, 2022, Leibniz University Hannover, Hannover, Germany.
• Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Equivalent statistical quadratization based response analysis for nonlinear oscillators with fractional derivative terms,  Proceedings of the 14th International Conference on Computational Structures Technology (CST 2022), 23-25 August, 2022, Montpellier, France.
• Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Response determination of a nonlinear energy harvesting device under combined stochastic and deterministic loads,  Proceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
• Ni P.; Kougioumtzoglou I. A.; Mitseas I. P.; Fragkoulis V. C.; Beer M. (2022): Stochastic dynamics framework for nonlinear oscillators endowed with fractional derivative elements under compatible design-spectrum seismic excitation,  Proceedings of the International Conference on Nonlinear Solid Mechanics (ICoNSoM) 2022, 13-16 June, Alghero, Sardinia, Italy.
• Pasparakis G. D.; Fragkoulis V. C.; Kong F.; Beer M. (2022): Stochastic response analysis of a piezoelectric harvesting device subjected to non-stationary loading,  Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), 4-7 September, 2022, Leibniz University Hannover, Hannover, Germany.
• Pasparakis G. D.; Fragkoulis V. C.; Kong F.; Beer M. (2022): Joint time-frequency response analysis of linear systems with singular matrices,  Proceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
• Pasparakis G. D.; Fragkoulis V. C.; Kougioumtzoglou I. A.; Beer M. (2022): Discovering nonlinear structural system dynamics based on compressive sampling concepts and tools,  Proceedings of the Engineering Mechanics Institute Conference (EMI 2022), May 31 - June 3, 2022, John Hopkins University, Baltimore, USA.
• Salomon, J., Behrensdorf, J., Winnewisser, N. R., Broggi, M., Beer, M. (2022): Resilience decision-making for complex and Substructured systems,  8th International Symposium on Reliability Engineering and Risk Management (ISRERM), Hannover, Germany
• De Angelis, M.; Behrendt, M.; Comerford, L.; Zhang, Y.; Beer, M. (2021): Forward interval propagation through the discrete Fourier transform,  The 9th international workshop on Reliable Engineering Computing
  arXiv: arXiv:2012.09778
• Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2021): On the random eigenvalue problem for linear structural systems with singular matrices and parametric uncertainties,  In: Proceedings of the Engineering Mechanics Institute Conference (EMI/PMC 2021), May 25-28, 2021, Columbia University, New York, USA.
• Mitseas, I. P., Ni, P. , Fragkoulis, V.C., Kong, F., Beer M., and Fragiadakis, M. (2021): Stochastic nonlinear response of structural systems endowed with singular matrices subject to combined periodic and stochastic excitations,  Proceedings of the 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2021), Athens, Greece, 27-30 June, 2021.
• Salomon, J.; Göing, J.; Lück, S.; Broggi, M., Friedrichs, J., Beer, M. (2021): Sensitivity Analysis of an Aircraft Engine Model under Consideration of Dependent Variables,  ASME TURBOEXPO 2021: Turbomachinery Technical Conference & Exposition. The American Society of Mechanical Engineers (ASME), Pittsburgh, USA.
• Behrendt, M.; Bittner, M.; Comerford, L.; Broggi, M.; Beer, M. (2020): Parameter Investigation of Relaxed Uncertain Power Spectra for Stochastic Dynamic Systems,  Proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
  DOI: 10.47964/1120.9311.18861
• Bittner M.; Broggi M.; Beer M.; Chen J.; Li J. (2020): Reliability estimation of rare events for stochastic dynamic systems excited by stationary stochastic processes,  Proceedings of the APSSRA 2020.
  DOI: https://doi.org/10.15083/00079789
• Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2020): Response evolutionary power spectrum determination of nonlinear oscillators with fractional derivative elements,  XI International Conference on Structural Dynamics (EURODYN 2020), 23-26 November, 2020, Athens, Greece.
• Kitahara, M., Broggi, M. and Beer, M. (2020): Bayesian model updating for existing seismic-isolated bridges using observed acceleration response data,  Proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
  DOI: https://doi.org/10.47964/1120.9291.18937
• Kitahara, M., Broggi, M. and Beer, M. (2020): Implementation of adaptive Kriging surrogate model for seismic reliability analysis of existing bridges,  Proceedings of the Seventh Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA 2020), Tokyo, Japan.
  DOI: http://doi.org/10.15083/00079768
• Ni P., Mitseas I. P., Fragkoulis V. C., Kougioumtzoglou I. A., Beer M. (2020): Peak response determination of nonlinear oscillators with fractional derivative elements under code-compliant stochastic seismic excitations,  Proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted).
• Pasparakis G., Fragkoulis V. C., Comerford L., Mitseas I.P., Beer M. (2020): Response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices subjected to non-stationary stochastic excitation,  proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted). | Datei |
• Pasparakis, G., Comerford, L., Kougioumtzoglou, I. A., Beer M. (2020): Wind field data extrapolation based on wind turbine measurement records via compressive sampling,  proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted). | Datei |
• Salomon, J; Winnewisser, N.; Wei, P.F.; Broggi, M.; Beer, M. (2020): Efficient Reliability Analysis of an Axial Compressor in Consideration of Epistemic Uncertainty,  e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy. | Datei |
  ISBN: 978-981-14-8593-0
• Behrendt, M., Comerford, L., Beer, M. (2019): Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings.,  IEEE Symposium Series on Computational Intelligence (SSCI).
  DOI: 10.1109/SSCI44817.2019.9002899
• Behrendt, M., Comerford, L., Beer, M., (2019): Relaxed Stationary Power Spectrum Model Using Imprecise Probabilities,  COMPDYN Proceedings, 1, pp. 592-599.
  DOI: 10.7712/120119.6941.19045
• Behrendt, M.; Comerford, L.; Beer, M. (2019): Stochastic Processes Identification from Data Ensembles via Power Spectrum Classification.,  13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13).
  DOI: 10.22725/ICASP13.407
• Bittner, M.; Broggi, M.; Beer M. (2019): Rare Event Modelling for Stochastic Dynamic Systems approximated by the Probability Density Evolution Method,  Proceedings of the 29th European Safety and Reliability Conference (ESREL).
  DOI: 10.3850/978-981-11-2724-3_0735-cd
• Eckert, C.; Beer, M.; Spanos, P. D. (2019): B-Spline based Polynomial Chaos for Stochastic Galerkin Methods,  2019 EMI International Conference, Lyon, France.
• Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2019): Nonstationary stochastic response determination of nonlinear oscillators with fractional derivative elements,  Proceedings of the Engineering Mechanics Institute International Conference (EMI International 2019), July 3-5, 2019, Lyon, France.
• Ni P., Mitseas I. P., Beer M. (2019): An approximate stochastic dynamics framework for inelastic response determination of hysteretic MDOF structural systems subject to code-compliant non-stationary stochastic seismic excitation,  Proceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019.
• Pasparakis G., Fragkoulis V. C., Comerford L., Mitseas I. P., Beer M. (2019): A harmonic wavelets based analysis for the response determination of linear and nonlinear MDOF structural systems with singular matrices,  Proceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019.
• Salomon, J.; Behrensdorf, J.; Broggi, M.; Weber, S.; Beer, M. (2019): Multidimensional Resilience Decision-Making On A Multistage High-Speed Axial Compressor,  29th International European Safety and Reliability Conference, ESREL 2019, Hannover, Germany. | Datei |
  DOI: 10.3850/978-981-11-2724-3 0992-cd
  ISBN: 978-981-11-2724-3
• Behrendt, M.; Punurai, W.; Beer, M. (2018): Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings,  7th Asia Conference on Earthquake Engineering, 22-25 November 2018, Bangkok, Thailand.
  DOI: 10.15488/4957
• Behrensdorf, J.; Broggi, M.; Beer, M. (2018): Imprecise reliability analysis of complex interconnected networks,  28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
  DOI: 10.1201/9781351174664-325
  ISBN: 978-081538682-7
• Eckert, C.; Beer, M.; Spanos, P. D. (2018): B-Spline based Polynomial Chaos Approximation for Random Variables,  8th Conference on Computational Stochastic Mechanics, Paros, Greece.
• Eckert, C.; Beer, M.; Spanos, P. D. (2018): Polynomial Chaos Approximation Using B-Splines,  World Congress in Computational Mechanics, New York, USA.
• Feng, G.; George-Williams, H.; Patelli, E.; Coolen, F.P.A.; Beer, M. (2018): An efficient reliability analysis on complex non-repairable systems with common-cause failures,  28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
  ISBN: 978-081538682-7
• Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer (2018): Risk Analysis of Infinite Slope Failure using Advanced Bayesian Networks,  Proc. of the 8th International Workshop on REC 2018, Liverpool, UK.
• Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer. (2018): Risk Assessment for Slope Stability with Enhanced Bayesian Networks Methods,  Proc. of the 6th ISRERM conference, Singapore 2018
  DOI: 10.3850/978-981-11-2726-7_CTC304S3MRS04
• Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2018): Nonlinear MDOF system non-stationary stochastic response determination via statistical linearization and complex modal analysis,  Proceedings of the International Engineering Mechanics Institute Conference (EMI 2018), M.I.T., Cambridge MA, USA, 29 May - 1 June, 2018.
• Morais, C., Moura, R., Beer, M., Patelli, E. (2018): Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks,  Probabilistic Safety Assessment and Management, PSAM 2018, Los Angeles, USA.
• Morais, C.; Moura, R.; Beer, M.; Patelli, E. (2018): Human reliability analysis - accounting for human actions and external factors through the project life cycle,  28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
  ISBN: 978-081538682-7
• Regenhardt, T.-E.; Wei, L.; Broggi, M.; Beer, M (2018): Applying Graph Theory and Lifeline Reliability to the System Survival Signature,  6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore.
  DOI: 10.3850/978-981-11-2726-7_CRR19
• Regenhardt, T.-E; Azad, M.S.; Punurai, W.; Beer, M. (2018): A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures,  Advances in Intelligent Systems and Computing 866:11-20, International Conference on Intelligent Computing and Optimization, ICO 2018, Pattaya, Thailand.
  DOI: 10.1007/978-3-030-00979-3_2
• Salomon, J.; Kruse, S.; Broggi, M.; Weber, S.; Beer, M. (2018): Decision-making for resilience-enhancing endowments in complex systems using principles of risk measures,  6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore. | Datei |
• Yusmye, A.Y.N.; Ariffin, A.K.; Abdullah, S.; Singh, S.S.K.; Beer, M. (2018): Application of fuzzy finite element method in addressing the presence of uncertainties,  28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
  ISBN: 978-081538682-7
• Beer, M., Gong, Z., Diaz De La, O.F.A., Kreinovich, V. (2017): How Accurate Are Expert Estimations of Correlation?,  2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
  DOI: 10.1109/SSCI.2017.8280790
• Behrensdorf, J.; Broggi, M.; Brandt, S.; Beer, M. (2017): Numerically efficient reliability analysis of interdependent networks,  27th European Safety and Reliability Conference - ESREL 2017.
  DOI: 10.1201/9781315210469-298
• Bi, S.; Beer, M. (2017): Experimental Modal Analysis and Model Identification of vibroacoustic Systems in Aerospace Engineering,  International Conference in Aerospace for Young Scientists (ICAYS), Beijing.
• Brandt, S.; Broggi, M.; Hafele, J.; Guillermo Gebhardt, C.; Rolfes, R.; Beer, M. (2017): Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures,  EURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1158-1163.
  DOI: 10.1016/j.proeng.2017.09.292
• Broggi, M., Faes, M., Patelli, E., Govers, Y, Moens, D., Beer, M. (2017): Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure,  2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
  DOI: 10.1109/SSCI.2017.8280882
• Comerford, L., Beer, M., Lu, N. (2017): Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines,  2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
  DOI: 10.1109/SSCI.2017.8285295
• Feng, G.; Reed, S.; Patelli, E.; Beer, M.; Coolen, F.P.A. (2017): Efficient reliability and uncertainty assessment on lifeline networks using the survival signature,  UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2017, pp. 90-99.
  DOI: 10.7712/120217.5354.16865
• Glišić, A.; Schaumann, P.; Broggi, M.; Beer, M. (2017): Sensitivity Analysis of Material and Load Parameters to Fatigue Stresses of an Offshore Wind Turbine Monopile Substructure,  EURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1228-1233.
  DOI: 10.1016/j.proeng.2017.09.255
• Gong, Z.; Diazdelao, F.A.; Beer, M. (2017): Sampling schemes for history matching using subset simulation,  UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2017, pp. 154-164.
  DOI: 10.7712/120217.5359.16948
• Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2017): An approximate stochastic dynamics approach for inelastic stochastic design spectrum-based analysis,  Proceedings of the International Engineering Mechanics Institute Conference (EMI 2017), San Diego, USA, 4-7 June, 2017.
• Mitseas I. P., Kougioumtzoglou I. A., Giaralis A., Beer M. (2017): A stochastic dynamics approach for seismic response spectrum-based analysis of hysteretic MDOF structures,  Proceedings of the 12th International Conference on Structural Safety and Reliability (ICOSSAR 2017), Vienna, Austria, 6-10 August, 2017.
• Beer, M.; Feng, G.; Patelli, E.; Broggi, M.; Coolen, F.P.A. (2016): Reliability Assessment of Systems with Limited Information,  Kim, S.-H.; Kong, J.S. (eds.): Proceedings of the 5th International Symposium on Reliability Engineering and Risk Management (ISRERM2016), Yonsei University, Seoul, Korea, 19-22.
• Feng, G.; Patelli, E.; Beer, M. (2016): Reliability Analysis of Complex Systems with Uncertainties by Monte Carlo Simulation Method,  Huang, H.; Li, J.; Zhang, J.; Chen J.B. (eds.): Proceedings of the 6th Asian-Pacific Symposium on Structural reliability and its Applications (APSSRA’6), Tongji University Press, China, 353-358.
• Feng, G.; Patelli, E.; Beer, M.; Coolen, F.P.A. (2016): Component importance measures for complex repairable system,  Walls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 1580-1585.
• Gong, Z.T.; DiazDelaO, F.A.; Beer, M. (2016): Bayesian model calibration using subset simulation,  Walls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 293-298.
• Lu, N.; Noori, M.; Beer, M. (2016): Dynamic Reliability Assessment for Long-Span Bridges under Heavy Stochastic Traffic Flows,  Freitag, S.; Muhanna, R.L.; Mullen, R.L. (eds.): Proceedings of the 7th International Workshop on Reliable Engineering Computing (REC2016), Computing with Polymorphic Uncertain Data, Ruhr Universität Bochum, Germany, 515-523.
• Michael Beer; Ioannis A. Kougioumtzoglou; Edoardo Patelli; Matteo Broggi (2016): Dealing with vague and limited information in uncertainty quantification,  7th International Workshop on Reliable Engineering Computing (REC2016) June 15-17, 2016, Ruhr University Bochum, Germany.
• Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2016): Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design,  Walls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 228-236.
• Valdebenito, M.A.; Pérez, C.A.; Jensen, H.A.; Beer, M. (2016): Approximation Concepts for Fuzzy Analysis in Structural Dynamics,  Freitag, S.; Muhanna, R.L.; Mullen, R.L. (eds.): Proceedings of the 7th International Workshop on Reliable Engineering Computing (REC2016) Computing with Polymorphic Uncertain Data, Ruhr Universität Bochum, Germany, 211-223.
• Comerford, L.; Kusanovic, D.; Kougioumtzoglou, I. A.; Jensen, H. A.; Beer, M. (2015): Structural system response and reliability analysis under imcomplete earthquake records,  Haukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering 2015 (ICASP12), paper 131.
• Doell, C.; Held, P.; Moura, R.; Kruse, R.; Beer, M. (2015): Analysis of a Major-Accident Dataset by Association Rule Mining to Minimise Unsafe Interfaces,  Patelli, E.; Kougioumtzoglou, I. (eds.): Proceedings of the 13th International Probabilistic Workshop, Institute for Risk & Uncertainty, University of Liverpool, UK, paper 092.
• Feng, G.; Patelli, E.; Beer, M. (2015): Survival signature-based sensitivity analysis of systems with epistemic uncertainties,  Podofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 1547-1552.
• Feng, G.; Patelli, E.; Beer, M. (2015): Reliability Analysis of Systems Based on Survival Signature,  Haukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Soil and Structural Engineering 2015 (ICASP12), paper 314.
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): An approximate stochastic dynamics approach for efficient performance-based earthquake engineering,  Proceedings of the International Engineering Mechanics Institute Conference (EMI 2015), Stanford, USA.
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): Fragility analysis of hysteretic MDOF structural systems subject to evolutionary stochastic excitations,  Proceedings of the 8th GRACM International Congress on Computational Mechanics (GRACM 15), Volos, Greece.
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): Nonlinear stochastic dynamic analysis for performance based multi-objective optimum design considering life cycle seismic loss estimation,  Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 12), Vancouver, Canada.
  DOI: 10.14288/1.0076149
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Spanos, P. D.; Beer, M. (2015): Reliability assessment of nonlinear MDOF systems subject to evolutionary stochastic excitation,  Deodatis, G.; Spanos, P.D. (eds.): Computational Stochastic Mechanics, Proceedings of the 7th International Conference on Computational Stochastic Mechanics (CSM 7), Research Publishing Services, Singapore, 420-431.
• Morais, C.; Moura, R.; Beer, M.; Lewis, J. (2015): Human factors and quality control procedures: An example from the offshore oil & gas industry,  Podofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 3835-3841.
• Moura, R.; Beer, M.; Lewis, J.; Patelli, E. (2015): Learning from Accidents: Analysis and Representation of Human Errors in Multi-attribute Events,  Haukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Soil and Structural Engineering 2015 (ICASP12), paper 190.
• Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll F. (2015): Learning from accidents: Analysis of multi-attribute events and implications to improve design and reduce human errors,  Podofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 3049-3056.
• Moura, R.; Doell, C.; Beer, M.; Kruse, R. (2015): A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors,  Engelbrecht, A. (ed.): Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence (SSCI), 2015 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), IEEE Computational Intelligence Society, Cape Town, South Africa, 1838-1843.
• Tolo, S.; Patelli, E.; Beer, M.; Broggi, M. (2015): Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds,  International Conference on Applications of Statistics and Probability in Civil Engineering.
• Comerford, L.; de Angelis, M.; Mannis, A.; Beer, M.; Kougioumtzoglou, I. (2014): An open approach to educational resource development, with a specific example from structural engineering,  42nd Annual Conference of the European Society for Engineering Education (SEFI).
• Comerford, L.; Kougioumtzoglou, I. A.; Beer, M. (2014): Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis,  Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).
• Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2014): A compressive sensing based approach for evolutionary power spectrum estimation subject to missing data,  Proceedings of the 7th International Conference on Stochastic Mechanics (CSM).
• Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2014): A compressive sensing based approach for estimating stochastic process power spectra subject to missing data Spec uncertainty,  Proceedings of the 9th International Conference on Structural Dynamics (EURODYN), Reliability and robustness of dynamic systems.
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2014): Optimal design of nonlinear structures under evolutionary stochastic earthquake excitations,  Proceedings of the International Conference on Engineering and Applied Sciences Optimization (OPT-i), Kos, Greece.
• Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M.; Patelli, E.; Mottershead, J. E. (2014): Robust design optimization of dynamical systems under evolutionary stochastic seismic excitation,  Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) & 6th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2014), Liverpool, UK.
  DOI: 10.1061/9780784413609.022
• Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2014): Human error analysis: Review of past accidents and implications for improving robustness of system design,  Nowakowski et al. (eds.): Safety and Reliability: Methodology and Applications, Proceedings of the European Safety and Reliability Conference, ESREL 2014, CRC Press, Taylor & Francis Group, Boca Raton, London, New York, Leiden, 1037-1046.
• Patelli, E.; Broggi, M.; de Angelis, M.; Beer, M. (2014): OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertainties,  Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), Liverpool, UK.
• Valdebenito, M.A.; Jensen, H.A.; Beer, M.; Perez, C.A. (2014): Approximation Concepts For Fuzzy Structural Analysis,  Beer, M.; Au, S.K.; Hall, J.W. (eds.): Vulnerability, Uncertainty and Risk - Quantification, Mitigation and Management, Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling and Analysis (ISUMA), ASCE Council on Disaster Risk Management, Monograph No 9, CD-ROM, 135-144.
• Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2013): An artificial neural network based approach for power spectrum estimation subject to limited and/or missing data,  Proceedings of the 11th International Conference on Structural Safety & Reliability (ICOSSAR), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: 1083-1090.
• Valdebenito, M.A.; Jensen, H.A.; Beer, M.; Perez, C.A. (2013): Approximate Fuzzy Structural Analysis Applying Taylor Series and Intervening Variables,  Proceedings of the 10th World Congress on Structural and Multidisciplinary Optimization (WCSMO 2013), CD-ROM, 1-10.
• Beer, M.; Zhang, M.Q.; Quek, S.T.; Jensen, H.A. (2011): Reliability analysis of offshore structures with imprecise corrosion effects,  Deodatis, G.; Spanos, P.D. (eds.): Computational Stochastic Mechanics Proceedings of the Sixth International Conference on Computational Stochastic Mechanics, Research Publishing Services, Singapore, 66-79.
• Beer, M.; Red-Horse J.; Spanos, P.D. (2007): Efficiency Improvement of the Karhunen-Loéve Expansion of Stochastic Processes with Exponential Covariance,  Spanos, P.D.; Deodatis, G. (eds.): Computational Stochastic Mechanics Proceedings of the Fifth International Conference on Computational Stochastic Mechanics, Millpress, Rotterdam, 81-88.
• Beer, M.; Spanos, P.D. (2005): Neural networks in process simulation,  Bathe, K.J. (ed.): Third M.I.T. Conference on Computational Fluid and Solid Mechanics, Cambridge, MA, USA, Compilation of Abstracts, 32.
• Beer, M.; Spanos, P.D. (2005): Simulation based structural reliability assessment involving imprecise data,  Augusti, G.; Schuëller, G.I.; Ciampoli, M. (eds.): 9th International Conference On Structural Safety And Reliability, Rome, Italy Safety and Reliability of Engineering Systems and Structures, Millpress, Rotterdam, CD-ROM, Doc. MS0704, 1725-1732.
• Beer, M.; Spanos, P.D. (2005): Neural Network Based Monte Carlo Simulation Of Random Processes,  Augusti, G.; Schuëller, G.I.; Ciampoli, M. (eds.): 9th International Conference On Structural Safety And Reliability, Rome, Italy, Safety and Reliability of Engineering Systems and Structures, Millpress, Rotterdam, CD-ROM, Doc. 017, 2179-2186.
• Beer, M.; Spanos, P.D. (2004): A Neural Network Approach for Representing Realizations of Random Processes,  Wojtkiewicz, S.; Red-Horse, J.; Ghanem, R. (eds.): 9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, Albuquerque, NM, USA, CD-ROM, Doc. 04_104, 1-6.