Data scientist, researcher, engineer.

Publications

  • Most of my papers can be downloaded from ResearchGate. If you cannot find a paper please send me an email.
  • Some papers have a dedicated code repository that allows to reproduce the results (see my GitHub and GitLab profiles).
  • A complete list of publications is available in my Google Scholar profile.

Journal papers

  • Koune, I., Rózsás, Á., Slobbe, A. & Cicirello, A. (2023). Bayesian system identification for structures considering spatial and temporal correlation. Data-Centric Engineering. https://doi:10.1017/dce.2023.18.
  • Slobbe, A., Rózsás, Á. & Yang, Y. (2023). Reliability‐based calibration of design code formulas: Application to shear resistance formulas for reinforced concrete members without shear reinforcement. Structural Concrete. https://doi.org/10.1002/suco.202200583.
  • Rózsás, Á., Slobbe, A., Huizinga, W., Kruithof M., Pillai A. K., Kleijn K. & Giardina, G. (2023). Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades. International Journal of Architectural Heritage. https://doi.org/10.1080/15583058.2022.2134062.
  • Maljaars, J., Rózsás, Á., Carey, L.W. & Slot H. (2022). Uncertainty quantification of the failure assessment diagram for flawed steel components in BS 7910:2019. Engineering Fracture Mechanics. https://doi.org/10.1016/j.engfracmech.2022.108446.
  • Vereecken, E., Rózsás, Á., Slobbe, A., Botte, W., Lombaert, G. & Caspeele, R. (2022). Efficient Bayesian model selection and calibration using field data for a reinforced concrete slab bridge. Structure and Infrastructure Engineering. https://doi.org/10.1080/15732479.2022.2131847.
  • Rózsás, Á., Slobbe, A., Jansen, R., Martini, G. & Allaix, D.L. (2022). Structural and load parameter estimation of a real-world reinforced concrete slab bridge using measurements and Bayesian statistics. Structural Concrete. https://doi.org/10.1002/suco.202100913.
  • Chai, X., Rózsás, Á., Slobbe, A. & Teixeira, A. (2022). Probabilistic parameter estimation and reliability assessment of a simulated sheet pile wall system. Computers and Geotechnics 142, 104567. https://doi.org/10.1016/j.compgeo.2021.104567.
  • Sousa, H., Rózsás, Á., Slobbe, A. & Courage, W. (2020). A novel pro-active approach towards SHM-based bridge management supported by FE analysis and Bayesian methods. Structure and Infrastructure Engineering 16 (2), 233-246. https://doi.org/10.1080/15732479.2019.1649287.
  • Slobbe, A., Rózsás, Á., Allaix, D. L. & Bigaj-van Vliet, A. (2019). On the value of a reliability-based nonlinear finite element analysis approach in the assessment of concrete structures. Structural Concrete. https://doi.org/10.1002/suco.201800344.
  • Nadolski, V., Rózsás, Á. & Sýkora, M. (2019). Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures. Periodica Polytechnica Civil Engineering 63 (1), 222-242. https://doi.org/10.3311/PPci.12822.
  • Steenbergen, R., Rózsás, Á. & Vrouwenvelder, T. (2018). Target reliability of new and existing structures - A general framework for code making. Heron 63 (3), 219-242.
  • Rózsás, Á. & Sýkora, M. (2018). Using statistical and interval-based approaches to propagate snow measurement uncertainty to structural reliability. International Journal of Reliability and Safety 12(1/2) (46). https://doi.org/10.1504/IJRS.2018.092503.
  • Sýkora, M., Diamantidis, D., Holický, M., Marková, J. & Rózsás, Á. (2018). Assessment of compressive strength of historic masonry using non-destructive and destructive techniques. Construction and Building Materials 193, 196 - 210. https://doi.org/10.1016/j.conbuildmat.2018.10.180.
  • Rózsás, Á. & Mogyorósi, Zs. (2017). The effect of copulas on time-variant reliability involving time-continuous stochastic processes. Structural Safety 66, 94 - 105. https://doi.org/10.1016/j.strusafe.2017.02.004.
  • Rózsás, Á., Kovács, N., Vigh, L. G. & Sýkora, M. (2016). Climate change effects on structural reliability in the Carpathian Region. Időjárás 120 (1), 103-125.
  • Rózsás, Á., Sýkora, M. & Vigh, L. G. (2016). Long-Term Trends in Annual Ground Snow Maxima for the Carpathian Region. Applied Mechanics and Materials 821, 753-760.
  • Rózsás, Á. & Sýkora, M. (2015). Neglect of parameter estimation uncertainty can significantly overestimate structural reliability. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series 15 (2), 1-10.
  • Budaházy, V., Rózsás, Á., Mayer, R. & Vigh, L. G. (2015). Acél- és öszvérszerkezeti elemek ciklikus viselkedésének kísérleti vizsgálata [Experimental analysis of cyclic behavior of steel and composite structural elements]. MAGÉSZ Acélszerkezetek 12 (Special Edition), 21-31.
  • Rózsás, Á. & Kovács, N. (2012). Öszvérszerkezetű közúti gerendahíd képlékeny tartalékai [Plastic reserves of a steel-concrete composite highway girder bridge]. MAGÉSZ Acélszerkezetek 9 (2), 42-48.

Conference papers

  • Rózsás, Á., Slobbe, A., Huizinga, W., Kruithof, M. & Giardina, G. (2021). A neural network embedding for quantifying crack pattern similarity in masonry structures - A statistical, proof of concept study. In 12th International Conference on Structural Analysis of Historical Constructions.
  • Jiang, Q., Rózsás, Á. & Slobbe, A. (2018). Quantification and propagation of uncertainties of a bond model for corroded reinforcement in structural analysis. In S. Foster, R. I. Gilbert, P. Mendis, R. Al-Mahaidi & D. Millar (ed.),5th fib Congress.
  • Slobbe, A., Rózsás, Á., Allaix, D. L. & Bigaj-van Vliet, A. (2018). What can we gain from advanced modeling of reinforced concrete structures? The added value of nonlinear finite element analysis and reliability based assessment. In S. Foster, R. I. Gilbert, P. Mendis, R. Al-Mahaidi & D. Millar (ed.),5th fib Congress.
  • Rózsás, Á., Slobbe, A., Allaix, D. L., Courage, W. M., Bigaj-van Vliet, A. & Burggraaf, H. G. (2018). The added value of full-probabilistic nonlinear finite element analysis for the assessment of reinforced concrete structural members. In R. Caspeele, L. Taerwe & D. Frangopol (ed.),The Sixth International Symposium on Life-Cycle Civil Engineering.
  • Rózsás, Á. & Sýkora, M. (2016). Propagating Snow Measurement Uncertainty to Structural Reliability by Statistical and Interval-Based Approaches. In 7th International Workshop on Reliable Engineering Computing, REC2016. Computing with Polymorphic Uncertain Data (pp. 91-110).
  • Rózsás, Á. & Sýkora, M. (2016). Effect of Statistical Uncertainties on Predicted Extreme Wind Speeds. In 7th International Workshop on Reliable Engineering Computing, REC2016. Computing with Polymorphic Uncertain Data (pp. 489-503).
  • Sýkora, M., Diamantidis, D., Retief, J., Viljoen, C. & Rózsás, Á. (2016). On Risk-Based Design of Structures Exposed to Changing Climatic Actions. In Proceedings of the Fifth International Symposium on Life-Cycle Civil Engineering IALCCE2016 (pp. 1-9).
  • Rózsás, Á. & Mogyorósi, Zs. (2016). The effect of copulas on time-variant reliability with continuous stochastic processes. In International Conference in Modelling in Mechanics and Structural Reliability (pp. 1-14).
  • Rózsás, Á. & Sýkora, M. (2015). Effect of Statistical Uncertainties in Ground Snow Load on Structural Reliability. In IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges (pp. 220-227).
  • Rózsás, Á., Sýkora, M. & Vigh, L. G. (2015). Long-term Trends in Annual Ground Snow Maxima for the Carpathian Region. In Engineering Mechanics 2015 (pp. 1-8).
  • Rózsás, Á. & Sýkora, M. (2015). Effect of Parameter Estimation Uncertainty on Structural Reliability. In M. Krejsa (ed.),Modelling in Mechanics.
  • Rózsás, Á. & Sýkora, M. (2015). Model comparison and quantification of statistical uncertainties for annual maxima of ground snow loads. In L. Podofillini, B. Sudret, B. Stojadinovic, Z. Enrico & W. Kröger (ed.),Safety and Reliability of Complex Engineered Systems: ESREL 2015 (pp. 2667-2674). CRC Press. (ISBN: 978-1-138-02879-1.)
  • Rózsás, Á., Kovács, N. & Badari, B. (2014). On the reliability of steel-concrete composite bridges - Investigation of post-elastic ultimate limit states. In R. Landorfo & F. Mazzolani (ed.),7th European Conference on Steel and Composite Structures, Eurosteel 2014.
  • Rózsás, Á. & Vigh, L. G. (2014). On the Reliability of Steel Frames Exposed to Snow Load. Considering the Effect of Epistemic Uncertainty. In R. Landorfo & F. Mazzolani (ed.),7th European Conference on Steel and Composite Structures, Eurosteel 2014 (pp. 1-6).
  • Rózsás, Á. & Kovács, N. (2013). Carbonation of Concrete Infrastructure in Hungary in the Light of Climate Change. In R. Németh (ed.),Second Conference of Junior Researchers in Civil Engineering (pp. 155-160).
  • Rózsás, Á. & Kovács, N. (2013). Probabilistic Assessment of the Effect of Climate Change on the Carbonation of Concrete Structures in the Carphatian Basin. In M. Hajdú & M. Skibniewski (ed.),Creative Construction Conference (pp. 672-683). (ISBN: 978-963-269-365-1.)
  • Rózsás, Á. & Kovács, N. (2012). Plastic reserves of simple- and two-span rolled girder composite bridges. In R. Németh (ed.),Conference of Junior Researchers in Civil Engineering (pp. 185-192).
  • Rózsás, Á. & Kovács, N. (2012). Reserves of Continuous Rolled Girder Composite Bridges per Inelastic Limit States. In G. C. Cosmin (ed.),Proceedings of the First international conference for PhD students in Civil Engineering (pp. 281-288).

Other

  • Rózsás Á. & A. Slobbe (2020). 2nd International Workshop on the Computational Challenges in the Reliability Assessment of Engineering Structures. https://github.com/martinig94/reliability_workshop_2020.
  • Rózsás, Á., Slobbe, A. & Meinen, N. (2018). 1st International Workshop on the Computational Challenges in the Reliability Assessment of Engineering Structures.
  • Rózsás, Á. & Slobbe, A. (2019). Repository and Black-box Reliability Challenge 2019. https://rprepo.readthedocs.io/en/latest/.
  • Slobbe, A., Bigaj-van Vliet, A. & Rózsás, Á. (2017). Parameter estimation and model selection in nonlinear finite element analysis of RC structures. In M. van der Vliet (ed.), Finite Element Modelling - A re-examination of concrete structures. SBRCURnet.