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Technische Universität München

Ji-Eun Byun, Ph.D.

Room: N3632

Phone: +49 89 289 23049

E-Mail: j.byun@tum.de

Office hours: by arrangement

Curriculum Vitae

  • Since Sep 2021 | Postdoctoral Researcher in Engineering Risk Analysis Group, Technical University of Munich, funded by the Alexander von Humboldt Foundation
  • Mar 2020 – Aug 2021 | Postdoctoral Researcher in Civil, Environmental and Geomatic Engineering, University College London, UK
  • Mar 2015 – Feb 2020 | M.S./Ph.D. in Civil and Environmental Engineering, Seoul National University, South Korea
  • Mar 2011 – Feb 2015 | B.S. in Civil and Environmental Engineering, Seoul National University, South Korea

Research

  • Reliability analysis of infrastructures and structural systems
  • Probabilistic optimization, decision theory, and automation for civil engineering systems
  • Probabilistic graphical models for complex and large-scale systems
  • Disaster resilience, sustainability, and equity
  • Artificial intelligence, machine learning, and big data for civil engineering systems

Teaching

  • Mar – Jun 2020 | Co-development of class materials for “Information Engineering for Infrastructures in Smart Cities”, Seoul National University
  • Mar – Jun 2019 | Co-development of class materials for “Information Engineering for Civil & Environmental Engineers”, Seoul National University
  • Mar – Jun 2017 | Teaching assistant for “Topics in Structural Reliability”, Seoul National University

Supervised Theses and Projects

  • Master thesis (2021) | Risk-informed decision-making for disaster resilience of transportation networks through parameter sensitivity analysis, University College London
  • Master thesis (2020) | Seismic fragility assessment of critical bridges for transport network resilience analysis, University College London

Archival Journals

  • Byun, J.-E. and Song, J. (2021) A general framework of Bayesian network for system reliability analysis using junction tree. Reliability Engineering & System Safety, 216, 107952.

  • Byun, J.-E. and Song, J. (2021). Generalized matrix-based Bayesian network for multi-state systems. Reliability Engineering & System Safety, 211, 107468.

  • Byun, J.-E. and Song, J. (2020). Efficient probabilistic multi-objective optimization of complex systems using Matrix-based Bayesian Network. Reliability Engineering & System Safety, 200, 106899.

  • Byun, J.-E. and Song, J. (2020). Bounds on reliability of larger systems by linear programming with delayed column generation. Journal of Engineering Mechanics,146(4): 04020008.

  • Byun, J.-E., Zwirglmaier, K., Straub, D., and Song, J. (2019). Matrix-based Bayesian Network for efficient memory storage and flexible inference. Reliability Engineering & System Safety, 185, 533-545.

  • Byun, J.-E., Song, J., Zwirglmaier, K., and Straub, D. (2018). An improved non-parametric Bayesian independence test for probabilistic learning of the dependence structure among continuous random variables. KSCE Journal of Civil Engineering, 22(3), 974-986.

  • Byun, J.-E., Noh, H.-M., and Song, J. (2017). Reliability growth analysis of k-out-of-N systems using matrix-based system reliability method. Reliability Engineering & System Safety, 165, 410-421.

  • Byun, J.-E. and D’Ayala, D. Disaster resilience analysis of transportation networks using Bayesian network. (in review).

  • Byun, J.-E. and Royset, J. O. Data-driven optimization of reliability using buffered failure probability. (in review). arXiv preprint: https://arxiv.org/abs/2107.11176.

  • Royset, J. O. and Byun, J.-E. Gradients and subgradients of buffered failure probability. (in review). arXiv preprint: https://arxiv.org/abs/2109.05391.

Book Chapters

  • Byun, J.-E. and Song, J. (2017). Structural System Reliability, Reloaded. Chapter 2-2 in Risk and Reliability Analysis: Theory and Applications, P. Gardoni, Ed., Springer International Publishing.

Conferences (selected)

  • Byun, J.-E. and D’Ayala, D. (2021). Seismic resilience analysis of urban transportation networks using Bayesian network, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2021), June 28-30, Streamed from Athens, Greece.
  • Byun, J.-E. and Song, J. (2021). Risk-informed decision-support on large-scale multi-state systems using matrix-based Bayesian network, Engineering Mechanics Institute 2021 (EMI 2021), May 25-28, Streamed from New York, USA.
  • Byun, J.-E. and Song, J. (2020). Risk-informed decision-support for complex infrastructure systems using matrix-based Bayesian network, The Seventh International Symposium on Life-Cycle Civil Engineering (IALCCE 2020), October 27-30, Shanghai, China (Keynote lecture by Prof. Song)
  • Byun, J.-E. and Song, J. (2019). Integrating decomposition algorithm and sampling techniques for reliability analysis of multi-state infrastructures, Engineering Mechanics Institute 2019 (EMI 2019), June 18-21, Pasadena, USA.
  • Byun, J.-E. and Song, J. (2019). Efficient Optimization for Multi-Objective Decision-Making on Civil Systems Using Discrete Influence Diagram, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26-30, Seoul, Republic of Korea.
  • Byun, J.-E. and Song, J. (2019). Linear Programming by Delayed Column Generation for Bounds on Reliability of Larger Systems, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26-30, Seoul, Republic of Korea.
  • Byun, J.-E., Zwirglmaier, K., Song, J., and Straub, D. (2018). Development of matrix-based Bayesian Network (MBN). Engineering Mechanics Institute Conference 2018 (EMI 2018), May 29-June 1, Cambridge, USA.
  • Byun, J.-E., Noh, H.-M., and Song, J. (2017). Reliability growth prediction for k-out-of-N systems using matrix-based system reliability method and reliability growth models. Asian Symposium on Risk Assessment and Management 2017 (ASRAM 2017), November 13-15, Yokohama, Japan.
  • Byun, J.-E. and Song, J. (2016). Decision making during development of complex engineering systems using system reliability analysis method and reliability growth model, Korean Society of Civil Engineers 2016 Convention, October 19-21, Jeju, Republic of Korea.
  • Byun, J.-E. and Song, J. (2016). Application of Matrix-based System Reliability (MSR) method to k-out-of-N system described by reliability growth models, 2016 IFIPWG7.5 Reliability and Optimization of Structural Systems, May 18-20, Pittsburgh, USA.
  • Lim, H.-W., Song, J., and Byun, J.-E. (2015). Multi-scale, multi-criteria decision-making for retrofitting prioritization of lifeline networks, 8th International Forum on Engineering Decision Making, May 6-9, Shiga, Japan.

Honors and Awards

  • Humboldt Research Fellowship for Postdoctoral Researchers, Alexander von Humboldt Foundation, 2021-2022 (Awarded in March, 2020; Scheduled in September, 2021 – August 2023)
  • CERRA student recognition award for 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May, 2019
  • Awards for outstanding papers by Korean Society of Civil Engineers, October, 2016

Software

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