| 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). |