[November 2023] Dr. Taeyong Kim won a best paper award at Korean Society of Civil Engineers 2023 Convention

Dr. Taeyong Kim won the best paper award at the at [November 2023] Dr. Taeyong Kim won a best paper award at Korean Society of Civil Engineers 2023 Convention. Dr. Kim’s paper, titled as “System-Reliability-based Disaster Resilience Analysis for Structures Under Stochastic Excitations,” developed a general framework to evaluate the resilience performance of structural systemsContinue

Dr. Jungho Kim visited Ajou University

On November 27, 2023, Dr. Jungho Kim, a postdoctoral researcher from the Department of Civil and Environmental Engineering at the University of California, Berkeley, delivered an insightful presentation at Ajou University, titled “Reliability Assessment and Decision Optimization of Structural Systems.” We extend our gratitude to Dr. Kim for his informative lecture and the engaging interactionsContinue

[October 2023] Dr. Taeyong Kim won a best paper award at 2023 Transactions of the Korean Nuclear Society Spring Meeting

Dr. Taeyong Kim won the best paper award at the at the Transactions of the Korean Nuclear Society Spring Meeting in 2023. Dr. Kim’s paper, titled as “Prediction of seismic responses of structural systems having degradation and pinching using deep learning,” developed a deep neural network to predict the sesimic responses of structural systems havingContinue

[News] Dr. Taeyong Kim joins University of Toronto as a postdoctoral fellow

Dr. Taeyong Kim joined the Department of Civil and Mineral Engineering at the University of Toronto in August 2021. Dr. Kim joined Advanced Modelling and Hybrid Simulation Research Group and will be working with Professor Oh-Sung Kwon. Professor Kwon’s group has strong expertise in evaluating the performance of structural systems under natural or human-induced disasters through advanced modelling andContinue

[New Paper] Response prediction of nonlinear hysteretic systems by deep neural networks

A journal paper, titled “Response prediction of nonlinear hysteretic systems by deep neural networks” was recently published in Neural Networks. The paper was co-authored by a PhD student at SSRG, Mr. Taeyong Kim, Prof. Oh-Sung Kwon (University of Toronto) and Prof. Junho Song. Kim, T., O.-S. Kwon*, and J. Song (2019). Response prediction of nonlinear hysteretic systemsContinue

Taeyong Kim Participated in CMU – SNU Student Workshop at Carnegie Mellon University

Member of structural system reliability group (SSRG) and Taeyong Kim participated in CMU-SNU student workshop. A total of 14 students with 3 professors were participated in the two-day workshop for presentations, discussions and social events. Taeyong Kim gave a presentation on his recent collaborate research with Prof. Kwon at University of Toronto. The title of presentationContinue

Participate DisasterTech Hackathon

On October 13-15 2017, Taeyong Kim attended his first DisasterTech Hackathon which was hosted by Aviva Canada and OneEleven (https://www.picatic.com/DisasterTech). Team DHR was composed by Andrew Wang, Christie Oh, Tarun Kumar Singhal, and Taeyong Kim who are a student at the University of Toronto. The team made the Uber-inspired app Spaget2 which coordinates volunteers during aContinue

Collaborative research at University of Toronto

On September 21, 2017, Taeyong Kim started his 11 month of a collaborative research program as a visiting Ph.D. student at University of Toronto, Canada. His research topic is “Deep-learning-based prediction of seismic response of nonlinear structural systems”. He has started an active research collaboration with Prof. Kwon about the research topic.  

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