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.

PROGRAM
All times are in Pacific Daylight Time (PDT).

Opening Remarks

Registration and Breakfast	7:00am	8:00am
EERI	8:00am	8:05am
UCSD	8:05am	8:10am

Session 1 – Moderator: Jorge Meneses

Prof. Krishna Kumar	Can we trust AI models in Earthquake Engineering?	8:15am	8:45am
Prof. Adrian Rodriguez-Marek et al.	Use of Machine Learning Tools to Evaluate Site Terms in Ground Motion Models	8:45am	9:15am
Prof. Scott Brandenberg	Relational Databases to Facilitate Ground Motion and Liquefaction Data Science	9:15am	9:45am
	Discussion Panel	9:45am	10:15am
	Break	10:15am	10:30am

Session 2 – Moderator: Alvaro Celestino

Prof. Jamie Padgett and R. Rincon	Facilitating seismic risk and resilience analysis in heterogenous and multi-scale systems	10:30am	11:00am
A. Tamhidi and Prof. Yousef Bozorgnia	Artificial Intelligence and Earthquake Engineering; Application for Seismic Performance of Soft-Story Buildings	11:00am	11:30am
R. Silva and Prof. Jack Baker	Deep learning-based retrofitting and seismic risk assessment of road networks	11:30am	12:00pm
	Discussion Panel	12:00pm	12:30pm
	Lunch Break	12:30pm	1:30pm

Session 3 – Moderator: Janna Bonfiglio

Prof. Karianne Bergen	Explainable AI for Seismology: An interpretable convolutional neural network architecture for earthquake detection	1:30pm	2:00pm
Dr. Qingkai Qong	Crowdsourcing Earthquake Information Enabled by AI	2:00pm	2:30pm
Dr. Youzuo Lin and Will Reichard Flynn	Spatio-Temporal Graph Convolutional Networks for Earthquake Source Characterization	2:30pm	3:00pm
	Discussion Panel	3:00pm	3:30pm
	Break	3:30pm	3:45pm

Session 4 – Moderator: Kristen Chang

Prof. Youssef Hashash and Okan Ilhan	Deep Learning-Based Site Amplification Models for Central and Eastern North America	3:45pm	4:15pm
Prof. Jorge Macedo	Machine learning-based procedures for estimating seismically-induced slope displacements	4:15pm	4:45pm
Prof. Hiroyuki Miura	Application of AI Technology for Estimating Site Amplification Factor from Microtremor H/V Spectral Ratio	4:45pm	5:15pm
	Discussion Panel	5:15pm	5:45pm
	Closing Remarks	5:45pm	5:50pm

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

Click here to view replays of the colloquium sessions.

VENUE
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.

REGISTRATION
Click here to register for the symposium.

LODGING
Click here for a list of hotels near UCSD.

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

ORGANIZING COMMITTEE
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 jmenesesl@gmail.com.