Mr Samuel Roeslin

PhD; M.Eng.; B.Eng.; B. Sc.; Licence Professionnelle

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Doctoral Candidate - Doctor of Philosophy

Biography

Samuel is a PhD candidate in the Department of Civil and Environmental Engineering at the University of Auckland since January 2017. He is experienced in structural design, building and infrastructure rehabilitation, and earthquake engineering.

In November 2017, Samuel took part in the reconnaissance efforts following the September 19, 2017 Puebla earthquake in Mexico. In 2015, he spent six months at the Universidad Autónoma Metropolitana Azcapotzalco, Mexico City for his master thesis. His master research focused on the structural dynamic analysis of diagonal grids (diagrids) as an earthquake-resistant system for tall buildings.

Research | Current

  • Seismic regional damage and loss prediction of buildings using data science
  • Managing emergencies using satellite images (focus on floods)

Areas of expertise

  • Data mining, data wrangling, data integration
  • Geospatial data mining and processing
  • Machine learning applied to real-world data

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Roeslin, S., Ma, T. M. Q. M., Chigullapally, P. C., Wicker, J. S. W., & Wotherspoon, L. M. W. (2020). Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience. 17WCEE 17th World Conference on Earthquake Engineering Sendai, Japan. Related URL.
    Other University of Auckland co-authors: Pavan Chigullapally, Joerg Wicker, Liam Wotherspoon
  • Roeslin, S., Juárez-Garcia HH, elwood, K., Dhakal, R., & Gómez-Bernal A (2020). The September 19th, 2017 Puebla, Mexico earthquake Final report of the New Zealand reconnaissance team. Bulletin of the New Zealand Society for Earthquake Engineering, 53 (3), 150-172. 10.5459/bnzsee.53.3.150-172
    Other University of Auckland co-authors: Ken Elwood
  • Roeslin, S., Ma, Q., Juárez-Garcia H, Gómez-Bernal A, Wicker, J., & Wotherspoon, L. (2020). A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake. Earthquake Spectra10.1177/8755293020936714
    Other University of Auckland co-authors: Joerg Wicker, Liam Wotherspoon
  • Roeslin, S., Ma, Q., Wicker, J., & Wotherspoon, L. (2020). Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand. Communications in Computer and Information Science. 10.1007/978-3-030-43887-6_8
    Other University of Auckland co-authors: Joerg Wicker, Liam Wotherspoon
  • Roeslin, S., Ma, Q. T. M., & Juárez García H (2018). Damage Assessment on Buildings Following the 19th September 2017 Puebla, Mexico Earthquake. Frontiers in Built Environment, 4 (72)10.3389/fbuil.2018.00072
    Other University of Auckland co-authors: Quincy Ma
  • Roeslin, S., & Ma (4/9/2018). Development of a Seismic Damage Prediction Model Using Data Science Techniques. Poster presented at QuakeCoRE Annual Meeting 2018, Taupo, New Zealand.
    URL: http://hdl.handle.net/2292/45689
    Other University of Auckland co-authors: Quincy Ma
  • Roeslin, S., & Ma, T. (2018). A New Approach for the Seismic Loss Estimation of Existing Buildings. Proceedings of the 11th National Conference in Earthquake Engineering Los Angeles, U.S.A.: Earthquake Engineering Research Institute. Related URL.
    URL: http://hdl.handle.net/2292/43110
    Other University of Auckland co-authors: Quincy Ma
  • Roeslin, S., Elwood, K., Juárez-Garcia H, Gómez-Bernal A, & Dhaka, R. (2018). The September 19th, 2017 Puebla, Mexico Earthquake – Preliminary report. NZSEE Conference Auckland, New Zealand.
    URL: http://hdl.handle.net/2292/44962

Identifiers

Contact details

Primary office location

B906 STRUCTURES HALL - Bldg 906
Level 3, Room 325
262 KHYBER PASS
NEWMARKET
AUCKLAND 1023
New Zealand

Social links

Web links