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.