Dongkyu Lee

Dongkyu Lee, Ph.D.

Room: N3624

Phone: +49 89 289 25406

E-Mail: dongkyu.lee@tum.de

Office hours: by arrangement

Since Sep 2024 | Postdoctoral Researcher at the Engineering Risk Analysis Group, Technical University of Munich, funded by National Research Foundation of Korea
Oct 2023 – Nov 2023 | Visiting Researcher, Princeton University, USA
Sep 2023 – Aug 2024 | Postdoctoral Researcher at the Structural System Reliability Group, Seoul National University, South Korea
Nov 2022 – Feb 2023 | Visiting Researcher, University of California, Berkeley, USA
Dec 2019 – Feb 2020 | Visiting Researcher, University of Illinois Urbana-Champaign, USA
Sep 2017 – Aug 2023 | M.S./Ph.D. in Civil and Environmental Engineering, Seoul National University, South Korea
Mar 2012 – Aug 2016 | B.S. in Civil and Environment Engineering, Seoul National University, South Korea

Seismic reliability analysis of urban systems/networks
Risk-informed maintenance strategies for lifeline networks
Application of statistical/machine learning techniques for urban infrastructure systems

Lee, D., Wang, Z., and Song, J. Efficient seismic reliability and fragility analysis of lifeline networks using subset simulation. (in review). arXiv preprint: https://arxiv.org/pdf/2310.10232
Lee, D., J.E. Byun, and Song, J. Dual graph-based Bayesian network modeling with Rao-Blackwellization for efficient reliability analysis and complexity quantification of network connectivity. (in review).
Lee, D., and Song, J. (2023). Risk-informed operation and maintenance of complex infrastructure systems using parallelized multi-agent deep Q-network. Reliability Engineering & System Safety, 239, 109512.
Lee, D., and Song, J. (2021). Multi-scale seismic reliability assessment of networks by centrality-based selective recursive decomposition algorithm. Earthquake Engineering & Structural Dynamics, 50, 2174-2194.

Princeton University (Oct 27, 2023): Bayesian network modeling for system reliability analysis
University College London (Jul 18, 2023): Network seismic fragility curves by single implementation of subset simulation
Technical University of Munich (May 12, 2023): Operation and maintenance planning for lifeline networks using parallelized multi-agent deep Q-network (https://infra-relearn.github.io/workshop.html)

Summer 2024: Teaching assistant for “Global Interchange Lecture on Engineering Technology”, Seoul National University
Spring 2024: Co-development of class materials for “Information Engineering for Infrastructures in Smart Cities”, Seoul National University
Fall 2022: Teaching assistant for “Structural Random Vibrations”, Seoul National University
Fall 2019: Teaching assistant for “Statistics for Civil & Environmental Engineers”, Seoul National University
Spring 2019: Co-development of class materials for “Information Engineering for CE Engineers”, Seoul National University

Postdoctoral research fellowship, National Research Foundation of Korea (NRF), 2024
Brain Korea 21 Global Joint Research Fellowship for Graduate Students, 2022