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Agenda:
Part 1: Presentations
8:30-8:45 Welcome and Workshop Goals (Brendon Bradley and Ellen Rathje)
8:45-9:00 15 "Vision for Cyberinfrastructure in Earthquake ResilienceAdvancing Earthquake Engineering Research using Cyberinfrastructure" (Maxim Millen)
9:0015-10:00: Session 1: Cloud-based data analytics and workflows
Joe Vantassel (Univ of Texas): "Using HPC in a Python based workflow to address non-uniqueness in surface wave inversion"
Paolo Zimmaro (UCLA): "DesignSafe Cloud-Based Tools for Next-Generation Liquefaction Assessment"
Max Stephens: OpenSees automated model creation, simulation + NNet application Robin Lee (UCanterbury): "Automated hybrid broadband ground motion simulation workflow on HPC"
10:00-10:15: Break
10:0015-11:00: Session 2: Use of High Performance Computing
Nasser Marafi (Univ of Washington): "Utilizing OpenSees, Python, and Jupyter in HPC for Earthquake Engineering Research" Estefan Garcia (UC Berkeley): "Discrete Element Modeling (DEM) using LIGGGHTS on HPC"
Chris de la Torre (UCanterbury): "Computational Hurdles and Scalability of OpenSees for Large 3D Site Response Models"
Robin Lee (UCanterbury): "Automated hybrid broadband ground motion simulation workflow Estefan Garcia (UC Berkeley): "Discrete Element Modeling (DEM) using LIGGGHTS on HPC"
11:00-12:0015: Session 3: AI and Machine Learning
Claudio Schill (UCanterbury): ML in computational science applications
David Dempsey (UAuckland): "Using neural networks to emulate large physics models"
Stephanie Paal (Texas A&M): "Machine Learning for seismic performance prediction of reinforced concrete components"
Charles Wang (UC Berkeley, SimCenter): "Creating city-scale building information model databases using AI" David Dempsey Max Stephens (UAuckland): "Using neural networks to emulate large physics modelsApplication of Machine Learning to Advance Regional Performance and Resiliency Quantification"
Charles Wang & Barbaros Cetiner Claudio Schill (UCanterbury): ML in computational science applications(UC Berkeley, SimCenter): "Creating city-scale building information model databases using AI"
Part 2: Breakout sessions
1:00-2:30 Concurrent Breakout session
Cloud-based data analytics and workflows (Moderators:
Use of High Performance Computing (Moderators:
AI and Machine Learning (Moderators:
2:30-3:00 Break
3:00-4:00 Reports from Breakout Sessions and Discussion
4:00-4:30 Closing Comments and Path ForwardExpressions of interest: The workshop registration is open to all interested participants from the community. If you are interested in delivering presentations of work you and your collaborators have undertaken in one or more of these areas, please contact the workshop organizers.
Contacts: Ellen Rathje (e.rathje[at]mail[dot]utexas[dot]edu) , Brendon Bradley (brendon[dot]bradley[at]canterbury[dot]ac[dot]nz), Maxim Millen (maxim[dot]millen[at]cantebrury[dot]ac[dot]nz)