Liuyun (Lulling) Xu
Ph.D. Candidate in Civil Engineering and Scientific Computing
University of Michigan
Ph.D. Candidate in Civil Engineering and Scientific Computing
University of Michigan
I am currently a Ph.D. candidate in Civil Engineering and Scientific Computing at the University of Michigan (UM), advised by Prof. Seymour M.J. Spence. I hold an M.S. degree in Electrical and Computer Engineering (ECE), emphasizing Signal & Image Processing and Machine Learning. Before Michigan, I received my MEng degree with honors in Civil Engineering from Tongji University, advised by Prof. Zhiguang Zhou. I was also a summer research assistant supervised by Profs. Takafumi Noguchi and Ippei Maruyama at the University of Tokyo (UTokyo).
I am the recipient of four Best Paper Award at ICOSSAR'25 (one of 9 awardees worldwide every 4 years, 2025), EMI Probabilistic Methods Committee Student Paper Competition (ASCE, 2025), MICDE Sci FM Conference (2024) and ICASP14 (one of 10 awardees worldwide every 4 years, 2023); ASCE O.H. Ammann Research Fellowship in Structural Engineering (2025); Rising Stars in Computational & Data Sciences (Oden Institute, Austin, 2025); Rackham Predoctoral Fellowship (among the most prestigious awards by UM, 2025); International Civil Engineering Risk and Reliability Association CERRA Student Recognition Award (2023); Michigan Institute for Computational Discovery & Engineering (MICDE) Fellowship (2023); ESEP Research Fellowship (one of 20 awardees worldwide, UTokyo, Japan, 2019)
My research interests include:
Risk, Reliability, Resilience
Uncertainty Quantification
Reduced Order Modeling, Metamodeling
Scientific Machine Learning/ AI, Scientific Computing
Natural Hazard Engineering (Wind, Earthquake, Flood)
Performance-based Design and Optimization
[Aug. 2025] 🎉Our research on Harnessesing AI for disaster Resilient Infrastructure is featured in UM CEE News. Check out the link!
[Aug. 2025] 🎉New paper "Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems" is available on arxiV! (link)
[Jul. 2025] 🎉Check out our paper "Multiple stripe analysis for rapid failure probability analysis in support of performance-based wind engineering" published in Engineering Structures (IF=6.4)! (link)
[Jun. 2025] 🏆I win the Best Paper Award (9 awardees worldwide every four years) for my paper- "A multi-fidelity framework with adaptive transfer learning for risk assessment of structural systems subject to natural hazards"- at the 14th International Conference on Structural Safety and Reliability (ICOSSAR'25), held at USC (link)(paper)!
[May 2025] 🏆I am selected as the winner of the ASCE Engineering Mechanics Institute (EMI) Conference Probabilistic Methods Committee (PMC) Student Paper Competition (link). My paper is titled at "Multi-fidelity stratified sampling with adaptive backpropagation transfer learning for small probability estimation under rare events"!
[Apr. 2025] 🏆I am selected by American Society of Civil Engineers (ASCE) as the recipient of the O.H. Ammann Research Fellowship in Structural Engineering! (link)
[Mar. 2025] 🏆I am recognized as the Rising Stars in Computational & Data Sciences and will attend the workshop hosted by Oden Institute, Austin this April! (link)
[Mar. 2025] 🏆I am awarded the Rackham Predoctoral Fellowship, which is one of the most prestigious awards granted by University of Michigan! (link)
[Feb. 2025] 🎤I am happy to deliver a talk- Adaptive Deep Learning-Powered Multi-fidelity Stratified Sampling for Efficient Failure Analysis of Nonlinear Dynamic Systems - at Scientific Computing Student Seminars hosted by MICDE! (link)
[Jul. 2024] 🏆Our project on "Towards Solving Inverse Problems using Physics-Informed Graph Network Simulator" has been selected as the winner of 2024 NHERI Computational Academy (link)! Our team "Gradient Gurus" took an interview for our great experience at Texas Advanced Computing Center, University of Texas, Austin!
[Jun. 2024] 🎤I served as a local organizing committee member of the 7th AAWE Workshop held at University of Michigan, Ann Arbor! Really appreciate all the attendees for making this a great success! (link) I also made a talk on "Efficient reliability assessment of wind-excited structures using adaptive multi-fidelity stratified sampling"!
[Jun. 2024] 🎉Check out our paper "Collapse reliability of wind-excited reinforced concrete structures by stratified sampling and nonlinear dynamic analysis" published in Reliability Engineering & System Safety (IF=11.0)! (link)
[May 2024] 🎤I delivered a talk on "An adaptive surrogate-based Multi-fidelity Stratified Sampling (MFSS) scheme for probabilistic analysis of nonlinear systems subject to stochastic excitation" at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), held at Chicago, Illinois. (link)
[Apr. 2024] 🏆Our poster on "An adaptive surrogate-based Multi-fidelity Monte Carlo scheme for reliability analysis of nonlinear systems against natural hazards" has won the the Second Place (2/22 shortlisted finalists) in MICDE SciFM Conference Poster Competition (link)!
[Mar. 2024] 🎉I joined Girls who code (link) club as a graduate student facilitator to provide support for high schoolers interested in developing coding and data analysis skills!
[Feb. 2024] 🎉I was excited to attend the NHERI Computational Symposium at UCLA funded by Simcenter Travel Award! It is great honor that our research on deep learning-based multi-fidelity Monte Carlo scheme has been presented at the Plenary Session: State of the Art Computational Research Advancing Natural Hazards Engineering (link)!
[Dec. 2023] 🎤 I have been invited to give a talk titled at "Innovative frameworks for reliability assessment of high-rise RC systems against natural hazards " at the 10th Kwang-Hua Forum held at Tongji University, China (link)!
[Sep. 2023] 🎤I was more than happy to attend the 16th International Conference on Wind Engineering (ICWE16) and the 19th International Advanced School on Wind Engineering (IAS19) held at Florence, Italy (link). I delivered a talk about "Reliability assessment of reinforced concrete structures within the setting of PBWE"! (paper)
[Aug. 2023] 🏆I secured the Michigan Institute for Computational Discovery & Engineering MICDE Fellowship (link) to support my research project on "Multi-fidelity frameworks for the inelastic response modeling and failure analysis of nonlinear structural systems subject to extreme winds".
[Jul. 2023] 🏆I have been awarded the Multi-hazard Engineering Collaboratory on Hybrid Simulation MECHS Travel Award (link), and have been invited to attend the 5th MECHS workshop on "Exploring Multi-hazard and Multi-physics Hybrid Simulation" held on 9-10 August at Purdue University!
[Jun. 2023] 🏆I wined the International Civil Engineering Risk and Reliability Association CERRA Student Recognition Award (link). I will attend the ceremonial event in person and give a talk at 14th International Conference on Application of Statistics and Probability in Civil Engineering (ICASP14) in Trinity College Dublin, Ireland (paper)!
[Jun. 2023] 🎤I was beyond thrilled to give a talk on "A Multi-fidelity Bayesian-based framework for collapse reliability analysis under hurricane hazards" at Engineering Mechanics Institute Conference (EMI), held at Georgia Tech, Atlanta.
[May 2023] 🏆I secured the Rackham Graduate Research Grant from the University of Michigan to study "Efficient reliability assessment of inelastic wind-excited structures using innovative computational approaches".
[Nov. 2022] 🎉Our paper "Impact of target spectra variance of selected ground motions on seismic response of structures" is published in Earthquakes and Structures! (link)
[Jun. 2022] 🎤I was excited to give a talk on "Collapse reliability of high-rise reinforced concrete structures under extreme winds" at Engineering Mechanics Institute Conference (EMI), held at Johns Hopkins University, Baltimore, Maryland.
[May. 2022] 🎉Our paper "Weighted Average Conditional Mean Spectrum (WACMS): A bridge between common CMS and Uniform Hazard Spectrum (UHS) " is published in Soil Dynamics and Structural Engineering! (link)
Copyright © Liuyun Xu
Latest updated on 08/2025