Visiting Professor
Texas Advanced Computing Center, UT Austin
TACC ↗
Data-AI-Resilience LabNational Central UniversityGoogle Scholar ↗OUR COMMUNITY
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An interdisciplinary research group connecting structural engineering, artificial intelligence, statistics, and high-performance computing.
PRINCIPAL INVESTIGATOR
Peng-Yu Chen 陳鵬宇
Associate Professor, Department of Civil Engineering
National Central University, Taiwan
Prof. Chen is a computational engineering researcher working at the intersection of physics-informed artificial intelligence, nonlinear structural simulation, high-performance computing, and regional infrastructure resilience.
In 2026, he serves as a Visiting Professor at the Texas Advanced Computing Center (TACC), The University of Texas at Austin, from June through September, advancing HPC-enabled seismic simulation and city-scale structural assessment.
Education
- Ph.D.
- Civil Engineering, UCLA
- M.S.
- Statistics, UCLA
- M.S.
- Civil Engineering, National Central University
- B.S.
- Civil Engineering, National Central University
University Ambassador
Deep learning and GPU-accelerated AI education
Profile ↗Professional Engineer
Civil Engineering, Taiwan／中華民國土木技師
CURRENT MEMBERS
Current students
Doctoral and master’s researchers developing new methods in physics-informed AI, structural dynamics, automated design, and regional risk assessment.
Elvis Saputra
PhD-1Development of A Self-Configuring, Hysteretic Physics-Informed Neural Network for Nonlinear Structural Dynamics.
許慈忻
MS-2Development of A Physics-Constrained Graph Neural Network Framework with Shared Embeddings for Multi-Analysis Response Prediction of RC Frame
侯羿安
MS-2Development of an Automated Probabilistic Seismic Risk Assessment Workflow for Offshore Wind Turbines
黃頌文
MS-2City-Scale Seismic Risk Assessment of RC Frames with Masonry Infill Walls
蕭明志
MS-2Development of an end-to-end tool for regional seismic risk assessment of RC buildings.
林上華
MS-1Automated Design of RC Frames Using Graph Neural Networks and Particle Swarm Optimization
蔡婉萱
MS-1An LLM- and RAG-Based Agent for Automated Code Compliance Checking of RC Frame Designs
ALUMNI
Former students
Research completed under the supervision of Prof. Peng-Yu Chen.
李炘庭
Application of High-Performance Computing and Artificial Intelligence to Nonlinear Dynamic Analysis of Building Structures
吳承鴻
Probabilistic Seismic Risk Assessment of Three-Dimensional RC Frames with Masonry Infill Walls
歐子威
Localization of Probabilistic Seismic Loss and Repair Cost Assessment
蔡彥辰
Probabilistic Seismic Loss Assessment of RC Frames
李宗霖
Development and Application of City-Scale Probabilistic Seismic Risk Assessment
陳漢興
Development and Application of Conditional Generative Adversarial Networks for Hysteresis Loop Prediction of RC Columns
吳念穎
Probabilistic Seismic Risk Assessment Using Deep Learning and Street-View Imagery
簡少禹
Development and Application of Physics-Constrained Long Short-Term Memory Networks for Structural Dynamic Response Prediction
方言為
Development and Application of Attention-Based Bidirectional Long Short-Term Memory Networks for Earthquake Prediction
黃亭耀
Development and Application of Abaqus-Based Analysis for 3D-Printed Concrete
邱郁佐
Development and Application of a Probabilistic Seismic Risk Assessment Framework for RC Shear Walls
劉震
Probabilistic Seismic Risk Analysis of RC Frames with Masonry Infill Walls
李坤展
Data-Driven Probabilistic Seismic Risk Assessment of RC Frames