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Department of Mechanical Engineering
PhD Researcher

Nataly Manque Roa

 

Email: nataly.manque@tu-dortmund.de

Tel.: +49 231 755-6834

Room: Maschinenbaugebäude 1, Raum U06

Zoom: Link  

Google Scholar :  Link

ResearchGate:  Link

Nataly_CRE

Research interests

  • Spatial uncertainty quantification.

  • Developing methods for the modelling of spatial- and time-dependent uncertainties under limited data.

Teaching

Further information

  • 2015 - 2020: Civil Engineering Diploma, University of La Frontera, Temuco, Chile. Thesis: Evaluation of atmospheric conditions triggering Rainfall-Induced Landslides in the Southern Andes (Advisor: Prof. I. Fustos).

  • 2021 - 2022: Master’s Degree in Civil Engineering, Adolfo Ibáñez University, Viña del Mar, Chile. Thesis: Development of a reduced order model for fuzzy fields analysis in linear structural systems. (Advisor: Prof. M. Valdebenito).

  • Since 10.2022 Ph.D. student at the Chair for Reliability Engineering, Faculty of Mechanical Engineering, TU Dortmund University.

 

Awards

  • 2022: Adolfo Ibáñez Boggiano, Adolfo Ibáñez University. Best graduate of the master's program and in recognition of her overall performance, personal, civic, and moral virtues.
  • 2022: Short Research Internships - French Institute of Chile and Faculty of Engineering and Science, Adolfo Ibáñez University. SIGMA Clermont, Clermont-Ferrand, Francia.
  • 2021: ANID (Chilean Agency for Research and Development) Fellowship National Master’s Degree 2021 (ID: 2021-2221116).
  • 2020: University of La Frontera award (highest ranking among graduating class), University of La Frontera, Temuco, Chile.
  • 2020: Faculty of Engineering and Science award (academic performance, research and contribution to Faculty development), University of La Frontera, Temuco, Chile.
  • 2016 - 2017: Academic excellence, Faculty of Engineering and Science, University of La Frontera, Temuco, Chile.
  1. Fustos-Toribio, N. Manque-Roa, D. Vásquez Antipán, M. Hermosilla Sotomayor, and V. Letelier González, “Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern andes”, Natural Hazards and Earth System Sciences, vol. 22, no. 6, pp. 2169–2183, 2022.