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4th Kenji Ishihara Colloquium Series on Earthquake Engineering

Artificial Intelligence Applications in Earthquake Engineering

September 1st, 2022
In-Person: University of California, San Diego
Virtually: Zoom

Artificial intelligence is rapidly developing, enhancing the role of data science in many disciplines including earthquake engineering. Applications of artificial intelligence are currently present in many aspects of our daily lives (e.g. automated driving cars, finding directions between two locations, facial recognition, e-commerce and marketing, healthcare, gaming, hiring processes, etc.). When big data or data analytics is involved, like in many aspects of earthquake engineering, artificial intelligence emerges as the efficient response.

This symposium will present and discuss current applications of artificial intelligence in different aspects of earthquake engineering and related disciplines.

Click the image on the right to view event flyer.

All times are in Pacific Daylight Time (PDT).

Opening Remarks

Registration and Breakfast7:00am8:00am

Session 1 – Moderator: Jorge Meneses

Prof. Krishna KumarCan we trust AI models in Earthquake Engineering?8:15am8:45am
Prof. Adrian Rodriguez-Marek et al.Use of Machine Learning Tools to Evaluate Site Terms in Ground Motion Models8:45am9:15am
Prof. Scott BrandenbergRelational Databases to Facilitate Ground Motion and Liquefaction Data Science9:15am9:45am
Discussion Panel9:45am10:15am

Session 2 – Moderator: Alvaro Celestino

Prof. Jamie Padgett and R. RinconFacilitating seismic risk and resilience analysis in heterogenous and multi-scale systems10:30am11:00am
A. Tamhidi and Prof. Yousef BozorgniaArtificial Intelligence and Earthquake Engineering; Application for Seismic Performance of Soft-Story Buildings11:00am11:30am
R. Silva and Prof. Jack BakerDeep learning-based retrofitting and seismic risk assessment of road networks11:30am12:00pm
Discussion Panel12:00pm12:30pm
Lunch Break12:30pm1:30pm

Session 3 – Moderator: Janna Bonfiglio

Prof. Karianne BergenExplainable AI for Seismology: An interpretable convolutional neural network architecture for earthquake detection1:30pm2:00pm
Dr. Qingkai QongCrowdsourcing Earthquake Information Enabled by AI2:00pm2:30pm
Dr. Youzuo Lin and Will Reichard FlynnSpatio-Temporal Graph Convolutional Networks for Earthquake Source Characterization2:30pm3:00pm
Discussion Panel3:00pm3:30pm

Session 4 – Moderator: Kristen Chang

Prof. Youssef Hashash and Okan IlhanDeep Learning-Based Site Amplification Models for Central and Eastern North America3:45pm4:15pm
Prof. Jorge MacedoMachine learning-based procedures for estimating seismically-induced slope displacements4:15pm4:45pm
Prof. Hiroyuki MiuraApplication of AI Technology for Estimating Site Amplification Factor from Microtremor H/V Spectral Ratio4:45pm5:15pm
Discussion Panel5:15pm5:45pm
Closing Remarks5:45pm5:50pm

Click here to learn about our symposium speakers and read presentation abstracts.

Click here to view replays of the colloquium sessions.

University of California, San Diego
Structural and Materials Department (SME), 2nd floor
Room SME 248
9500 Gilman Dr.
La Jolla, CA 92093
Parking information coming soon!

Zoom link will be provided to registered attendees prior to the event.

Click here to register for the symposium.

Click here for a list of hotels near UCSD.

Transportation to and from the venue can be utilized through Uber or Lyft. Click here for directions to get to the venue.

Chair: Dr. Jorge Meneses
Alvaro Celestino
Janna Bonfiglio
Tasneem Sadeque
Kristen Chang
Hamid Sarmadi
Prof. Gilberto Mosqueda
Ricardo Bustamante
Kayla Erler

For sponsorship opportunities, please contact Dr. Jorge Meneses at