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Task reliability index for operator performance and failure probability assessment in control room simulators
Porthin, M., Podofillini, L., & Dang, V. N. (2024). Task reliability index for operator performance and failure probability assessment in control room simulators. Reliability Engineering and System Safety, 251, 110390 (15 pp.). https://doi.org/10.1016/j.ress.2024.110390
A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation
Greco, S. F., Podofillini, L., & Dang, V. N. (2023). A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation. Safety Science, 159, 106009 (19 pp.). https://doi.org/10.1016/j.ssci.2022.106009
A human operator model for simulation-based resilience assessment of power grid restoration operations
Kottmann, F., Kyriakidis, M., Sansavini, G., & Dang, V. (2023). A human operator model for simulation-based resilience assessment of power grid restoration operations. Reliability Engineering and System Safety, 238, 109450 (18 pp.). https://doi.org/10.1016/j.ress.2023.109450
A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application
Podofillini, L., Reer, B., & Dang, V. N. (2023). A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application. Reliability Engineering and System Safety, 230, 108903 (17 pp.). https://doi.org/10.1016/j.ress.2022.108903
International case study comparing PSA modeling approaches for nuclear digital I&C – OECD/NEA task DIGMAP
Porthin, M., Shin, S. M., Quatrain, R., Tyrväinen, T., Sedlak, J., Brinkman, H., … Demgné, J. (2023). International case study comparing PSA modeling approaches for nuclear digital I&C – OECD/NEA task DIGMAP. Nuclear Engineering and Technology, 55(12), 4367-4381. https://doi.org/10.1016/j.net.2023.08.012
Comprehensive space-time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin
Viviroli, D., Sikorska-Senoner, A. E., Evin, G., Staudinger, M., Kauzlaric, M., Chardon, J., … Whealton, C. (2022). Comprehensive space-time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin. Natural Hazards and Earth System Sciences, 22(9), 2891-2920. https://doi.org/10.5194/nhess-22-2891-2022
PSA lessons learned from viewpoint of the ETSON TSOs
Georgescu, G., Jacques, V., Nitoi, M., Podofillini, L., & Röwekamp, M. (2021). PSA lessons learned from viewpoint of the ETSON TSOs. In Proceedings series. Challenges faced by technical and scientific support organizations (TSOs) in enhancing nuclear safety and security: ensuring effective and sustainable expertise (pp. 62-66). International Atomic Energy Agency (IAEA).
A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis
Greco, S. F., Podofillini, L., & Dang, V. N. (2021). A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis. Reliability Engineering and System Safety, 206, 107309 (19 pp.). https://doi.org/10.1016/j.ress.2020.107309
Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data
Greco, S. F., Podofillini, L., & Dang, V. N. (2021). Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal or Risk and Reliability, 235(4), 637-659. https://doi.org/10.1177/1748006X20986743
Enhancing infrastructure resilience by using dynamically updated damage estimates in optimal repair planning: the power grid case
Kottmann, F., Kyriakidis, M., Dang, V. N., & Sansavini, G. (2021). Enhancing infrastructure resilience by using dynamically updated damage estimates in optimal repair planning: the power grid case. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), 04021048 (15 pp.). https://doi.org/10.1061/AJRUA6.0001159
A scoping method for human performance integrity and reliability assessment in process industries
Kyriakidis, M., & Dang, V. N. (2021). A scoping method for human performance integrity and reliability assessment in process industries. Process Safety Progress, 40(4), 224-233. https://doi.org/10.1002/prs.12260
Analysis of recent operational events involving inappropriate actions: influencing factors and root causes
Podofillini, L., Reer, B., & Dang, V. N. (2021). Analysis of recent operational events involving inappropriate actions: influencing factors and root causes. Reliability Engineering and System Safety, 216, 108013 (20 pp.). https://doi.org/10.1016/j.ress.2021.108013
The 3rd workshop on localization vs. internationalization: accessibility of autonomous vehicles by different end-users
Stojmenova, K., Lee, S., Sodnik, J., Kyriakidis, M., Piedra, C. D., & Jeon, M. (2021). The 3rd workshop on localization vs. internationalization: accessibility of autonomous vehicles by different end-users. Adjunct proceedings. (pp. 190-193). Presented at the AutomotiveUI '21: 13th international conference on automotive user interfaces and interactive vehicular applications. https://doi.org/10.1145/3473682.3479718
Incorporating human factors in emergency evacuation - an overview of behavioral factors and models
Wang, Y., Kyriakidis, M., & Dang, V. N. (2021). Incorporating human factors in emergency evacuation - an overview of behavioral factors and models. International Journal of Disaster Risk Reduction, 60, 102254 (15 pp.). https://doi.org/10.1016/j.ijdrr.2021.102254
Uncertainty and sensitivity analysis of the chemistry of cesium sorption in deep geological repositories
Ayoub, A., Pfingsten, W., Podofillini, L., & Sansavini, G. (2020). Uncertainty and sensitivity analysis of the chemistry of cesium sorption in deep geological repositories. Applied Geochemistry, 117, 104607 (12 pp.). https://doi.org/10.1016/j.apgeochem.2020.104607
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
Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks
Kalinina, A., Spada, M., Vetsch, D., Marelli, S., Whealton, C., Burgherr, P., & Sudret, B. (2020). Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks. Energies, 13(14), 3685 (25 pp.). https://doi.org/10.3390/en13143685
The role of human operators in safety perception of av deployment - insights from a large European survey
Kyriakidis, M., Sodnik, J., Stojmenova, K., Elvarsson, A. B., Pronello, C., & Thomopoulos, N. (2020). The role of human operators in safety perception of av deployment - insights from a large European survey. Sustainability, 12(21), 9166 (24 pp.). https://doi.org/10.3390/su12219166
Special issue on human performance and decision-making in complex industrial environments
Moura, R., Beer, M., & Podofillini, L. (2020). Special issue on human performance and decision-making in complex industrial environments. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6(1), 010301 (2 pp.). https://doi.org/10.1115/1.4045557
 

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