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Crew performance variability in simulator data for human reliability analysis: investigation of modelling options
Greco, S. F., Podofillini, L., & Dang, V. N. (2020). Crew performance variability in simulator data for human reliability analysis: investigation of modelling options. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European safety and reliability conference (ESREL) (pp. 240-247). https://doi.org/10.3850/978-981-11-2724-3_0722-cd
Modelling crew performance variability in emergency situations from simulator data for human reliability analysis
Greco, S. F., Podofillini, L., & Dang, V. N. (2020). Modelling crew performance variability in emergency situations from simulator data for human reliability analysis. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European safety and reliability conference and the 15th probabilistic safety assessment and management conference (pp. 2624-2631). https://doi.org/10.3850/978-981-14-8593-0_4897-cd
An analysis of recent operational events involving errors of commission
Podofillini, L., & Dang, V. N. (2020). An analysis of recent operational events involving errors of commission. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European safety and reliability conference (ESREL) (pp. 199-206). https://doi.org/10.3850/978-981-11-2724-3_0728-cd
OECD/NEA WGRISK: overview on ongoing and potential future activities
Roewekamp, M., Ahn, K. I., Shin, S. M., Bareith, A., Dang, V. N., & Porthin, M. (2020). OECD/NEA WGRISK: overview on ongoing and potential future activities. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European safety and reliability conference and the 15th probabilistic safety assessment and management conference (pp. 4106-4110). https://doi.org/10.3850/978-981-14-8593-0_4950-cd
Building critical infrastructure resilience – cross-sectoral comparison of vital operational tasks and practices
Kyriakidis, M., Dang, V. N., & Hirschberg, S. (2018). Building critical infrastructure resilience – cross-sectoral comparison of vital operational tasks and practices (p. (12 pp.). Presented at the Probabilistic safety assessment and management PSAM 14. International Association for Probablistic Safety Assessment and Management (IAPSAM).
Bayesian aggregation of expert judgment data for quantification of human failure probabilities for radiotherapy
Podofillini, L., Pandya, D., Emert, F., Lomax, A. J., Dang, V. N., & Sansavini, G. (2018). Bayesian aggregation of expert judgment data for quantification of human failure probabilities for radiotherapy. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, & J. E. Vinnem (Eds.), Safety and reliability - safe societies in a changing world. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway (pp. 501-508). https://doi.org/10.1201/9781351174664-62
OECD WGRISK - recently ongoing and potential future international risk-related activities
Roewekamp, M., Ahn, K. I., Akl, Y., Bareith, A., Dang, V., Lanore, J. M., … Shin, S. M. (2018). OECD WGRISK - recently ongoing and potential future international risk-related activities (p. (7 pp.). Presented at the Probabilistic safety assessment and management PSAM 14. International Association for Probablistic Safety Assessment and Management (IAPSAM).
Evaluation of deterministic sampling for uncertainty quantification in a probabilistic accident analysis model
Rahman, S., Karanki, D. R., Wicaksono, D., Zerkak, O., & Dang, V. N. (2016). Evaluation of deterministic sampling for uncertainty quantification in a probabilistic accident analysis model (p. N11P0291 (15 pp.). Presented at the 11th international topical meeting on nuclear reactor thermal hydraulics, operation and safety (NUTHOS-11). .
Achieving safe designs through evaluation of options at the conceptual level of safety system design
Alijagic, E., & Dang, V. N. (2015). Achieving safe designs through evaluation of options at the conceptual level of safety system design. In T. Nowakowski, M. Młyńczak, A. Jodejko-Pietruczuk, & S. Werbińska-Wojciechowska (Eds.), Safety and reliability: methodology and applications (pp. 1733-1740). https://doi.org/10.1201/b17399-235
Ranking of uncertain parameters for dynamic event tree analysis: a case study based on a Station Black Out scenario
Rahman, S., Karanki, D. R., Epiney, A., Zerkak, O., & Dang, V. N. (2015). Ranking of uncertain parameters for dynamic event tree analysis: a case study based on a Station Black Out scenario. In 16th international topical meeting on nuclear reactor thermal hydraulics (NURETH-16) (pp. 5734-5747). American Nuclear Society.
Recent and future activities of the OECD Nuclear Energy Agency Working Group on RISK assessment (WGRISK)
Röwekamp, M., Dang, V. N., Gheorghe, R., Lanore, J. M., & Coyne, K. (2015). Recent and future activities of the OECD Nuclear Energy Agency Working Group on RISK assessment (WGRISK). In L. Podofillini, bruno Sudret, B. Stojadinović, E. Zio, & W. Kröger (Eds.), Safety and reliability of complex engineered systems (pp. 581-585).
Safety review process - a methodology for qualitative verification of safety measures
Alijagic, E., & Dang, V. N. (2014). Safety review process - a methodology for qualitative verification of safety measures. In R. D. J. M. Steenbergen, P. H. A. J. M. van Gelder, S. Miraglia, & A. C. W. M. Vrouwenvelder (Eds.), Safety, reliability and risk analysis: beyond the horizon (pp. 77-84). https://doi.org/10.1201/b15938
Modeling operator actions in integrated deterministic-probabilistic safety assessment
Dang, V. N., & Karanki, D. R. (2014). Modeling operator actions in integrated deterministic-probabilistic safety assessment. In Vol. 6. Proceedings of the probabilistic safety assessment and management (PSAM) 12 conference (pp. 51-62).
The international HRA empirical study. Lessons learned from comparing HRA methods predictions to HAMMLAB simulator data
Forester, J., Dang, V. N., Bye, A., Lois, E., Massaiu, S., Broberg, H., … Nelson, P. (2014). The international HRA empirical study. Lessons learned from comparing HRA methods predictions to HAMMLAB simulator data. (NUREG, Report No.: 2127). Office of Nuclear Regulatory Research.
Treatment of epistemic and aleatory uncertainties in DET simulations: computational framework with ADS-TRACE
Karanki, D. R., Zerkak, O., & Dang, V. N. (2014). Treatment of epistemic and aleatory uncertainties in DET simulations: computational framework with ADS-TRACE (p. 1173). Presented at the 10th international topical meeting on nuclear thermal-hydraulics, operation and safety (NUTHOS-10). .
Uncertainty propagation in Dynamic Event Trees - initial results for a modified tank problem
Karanki, D. R., Dang, V. N., & MacMillan, M. T. (2014). Uncertainty propagation in Dynamic Event Trees - initial results for a modified tank problem. In Vol. 8. Proceedings of the probabilistic safety assessment and management (PSAM) 12 conference (pp. 306-319).
A survey of Bayesian Belief Network applications in Human Reliability Analysis
Mkrtchyan, L., Podofillini, L., & Dang, V. N. (2014). A survey of Bayesian Belief Network applications in Human Reliability Analysis. In T. Nowakowski, M. Młyńczak, A. Jodejko-Pietruczuk, & S. Werbińska-Wojciechowska (Eds.), Safety and reliability: methodology and applications (pp. 1073-1081). https://doi.org/10.1201/b17399-151
Aggregating expert-elicited error probabilities to build HRA models
Podofillini, L., Mkrtchyan, L., & Dang, V. N. (2014). Aggregating expert-elicited error probabilities to build HRA models. In T. Nowakowski, M. Młyńczak, A. Jodejko-Pietruczuk, & S. Werbińska-Wojciechowska (Eds.), Safety and reliability: methodology and applications (pp. 1083-1091). https://doi.org/10.1201/b17399-152
Quantification of Bayesian Belief Net relationships for HRA from operational event analyses
Podofillini, L., Mkrtchyan, L., & Dang, V. N. (2014). Quantification of Bayesian Belief Net relationships for HRA from operational event analyses. In PSAM12 - probabilistic safety assessment and management (p. (12 pp.). sine nomine.
Representation of parameter uncertainty in Bayesian Belief Networks for Human Reliability Analysis
Podofillini, L., Pandya, D., & Dang, V. N. (2014). Representation of parameter uncertainty in Bayesian Belief Networks for Human Reliability Analysis. In R. D. J. M. Steenbergen, P. H. A. J. M. van Gelder, S. Miraglia, & A. C. W. M. Ton Vrouwenvelder (Eds.), Safety, reliability and risk analysis: beyond the horizon (pp. 585-593).