Laurie Gaskins Baise

Laurie Gaskins Baise

Tufts University

H-index: 27

North America-United States

About Laurie Gaskins Baise

Laurie Gaskins Baise, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at Tufts University, specializes in the field of Site response, liquefaction, seismic hazard mapping, geotechnical earthquake engineering, engineering seismology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geospatial liquefaction modeling of the 2023 Türkiye earthquake sequence by an ensemble of global, continental, regional, and event‐specific models

Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information

Geospatial liquefaction probability models based on sand boils occurred during the 2017 M5. 5 Pohang, South Korea, earthquake

Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery

An uncertainty quantification framework for logistic regression based geospatial natural hazard modeling

Regional-scale site characterization mapping in high impedance environments using soil fundamental resonance (f0): New England, USA

National liquefaction loss database and event-level fragility functions

Semi-Supervised Learning Method for the Augmentation of an Incomplete Image-Based Inventory of Earthquake-Induced Soil Liquefaction Surface Effects

Laurie Gaskins Baise Information

University

Position

___

Citations(all)

3345

Citations(since 2020)

1692

Cited By

2286

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

42

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Laurie Gaskins Baise Skills & Research Interests

Site response

liquefaction

seismic hazard mapping

geotechnical earthquake engineering

engineering seismology

Top articles of Laurie Gaskins Baise

Title

Journal

Author(s)

Publication Date

Geospatial liquefaction modeling of the 2023 Türkiye earthquake sequence by an ensemble of global, continental, regional, and event‐specific models

Seismological Research Letters

Adel Asadi

Christina Sanon

Elife Cakir

Weiwei Zhan

Hooman Shirzadi

...

2024/3/1

Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information

Natural Hazards

Adel Asadi

Laurie G Baise

Magaly Koch

Babak Moaveni

Snehamoy Chatterjee

...

2024/2/4

Geospatial liquefaction probability models based on sand boils occurred during the 2017 M5. 5 Pohang, South Korea, earthquake

Engineering Geology

Hwanwoo Seo

Han-Saem Kim

Laurie G Baise

Byungmin Kim

2024/2/1

Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Adel Asadi

Laurie Gaskins Baise

Snehamoy Chatterjee

Magaly Koch

Babak Moaveni

2024/1/2

An uncertainty quantification framework for logistic regression based geospatial natural hazard modeling

Engineering Geology

Weiwei Zhan

Laurie G Baise

Babak Moaveni

2023/10/1

Regional-scale site characterization mapping in high impedance environments using soil fundamental resonance (f0): New England, USA

Engineering Geology

Marshall Pontrelli

Laurie Baise

John Ebel

2023/3/20

National liquefaction loss database and event-level fragility functions

Earthquake Spectra

Alexander Chansky

Laurie Gaskins Baise

Babak Moaveni

2023/11

Semi-Supervised Learning Method for the Augmentation of an Incomplete Image-Based Inventory of Earthquake-Induced Soil Liquefaction Surface Effects

Remote Sensing

Adel Asadi

Laurie Gaskins Baise

Christina Sanon

Magaly Koch

Snehamoy Chatterjee

...

2023/10/9

War related building damage assessment in Kyiv, Ukraine, using Sentinel-1 radar and Sentinel-2 optical images

Remote Sensing

Yusupujiang Aimaiti

Christina Sanon

Magaly Koch

Laurie G Baise

Babak Moaveni

2022/12/9

One Versus All: Best Practices in Combining Multi-hazard Damage Imagery Training Datasets for Damage Detection for a Deep Learning Neural Network

Lekan Sodeinde

Magaly Koch

Babak Moaveni

Laurie G Baise

2022

Detecting demolished buildings after a natural hazard using high resolution RGB satellite imagery and modified U-Net convolutional neural networks

Remote Sensing

Vahid Rashidian

Laurie G Baise

Magaly Koch

Babak Moaveni

2021/6/2

Local and regional evaluation of liquefaction potential index and liquefaction severity number for liquefaction-induced sand boils in Pohang, South Korea

Soil Dynamics and Earthquake Engineering

Han-Saem Kim

Mirae Kim

Laurie G Baise

Byungmin Kim

2021/2/1

Geology and geomorphology based f0 models of New England

AGU Fall Meeting Abstracts

Marshall Pontrelli

Laurie Baise

John Ebel

Jeremy Salerno

2021/12

A Bayesian Inversion Approach for Site Characterization Using Surface Wave Measurements

Mehdi M Akhlaghi

Babak Moaveni

Laurie G Baise

2020

Regional efficacy of a global geospatial liquefaction model

Engineering geology

Vahid Rashidian

Laurie G Baise

2020/7/1

Using high resolution optical imagery to detect earthquake-induced liquefaction: The 2011 Christchurch earthquake

Remote Sensing

Vahid Rashidian

Laurie G Baise

Magaly Koch

2020/1/24

Site Characterization Through Hierarchical Bayesian Model Updating Using Dispersion and H/V Data

Mehdi M Akhlaghi

Mingming Song

Marshall Pontrelli

Babak Moaveni

Laurie G Baise

2020

See List of Professors in Laurie Gaskins Baise University(Tufts University)

Co-Authors

academic-engine