Seismology

Seismology

John H. Shaw portrait

John H. Shaw

Harry C. Dudley Professor of Structural and Economic Geology and Harvard College Professor

Structure of the earth's crust, active faulting and folding, earthquake hazards assessment, petroleum exploration methods, and remote sensing.

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EPS
20 Oxford St.
Cambridge, MA 02138

Office location - Geological Museum 215
p: (617) 495-8008, f: (617) 495-8839

Research Opportunity in the Earthquake Seismology Group.

The quake group is looking for an undergraduate researcher to work on ground motion prediction. The position is supported by NSF grants and targets the prediction of ground shaking for several past earthquakes in 1) southern California, and 2) the Pacific Northwest. The data is curated by current group members. The research entirely relies on time series analysis; however, the student will receive dedicated presentations on the scientific context and nature of the project. Some level coding is required...

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2020 Jan 15

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)

Alissar Yehya, Baha and Walid Bassatne Department of Chemical Engineering and Advanced Energy, AUB, Beirut, Lebanon; Associate, John A. Paulson School of Engineering and Applied Sciences, Harvard University 

Title: Influence of fluid-assisted healing on fault permeability structure

Abstract:
Micro-cracks in fault damage zones can heal through diffusive mass transfer controlled by temperature and pressure. The diffusion of pore fluid pressure in fault damage zones...

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2019 Dec 04

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)

Chengxin Jiang, Harvard University

Title: TBD

2019 Nov 06

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)

Magali Billen, UC Davis

Episodic Plate Motion and Thermal Structure in Subduction Zones Caused by Slab Folding in the Transition Zone

Abstract: Although most present-day subduction zones are in trench retreat, plate reconstructions and geological observations show that individual margins experience episodes of advancing, retreating or stationary trench motion with time-variable subduction rates. However, most laboratory and numerical simulations predict steady plate velocities and sustained trench retreat unless the slab experiences folding in the...

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2019 Oct 23

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)
Daniel Trugman, Los Alamos National Laboratory
2019 Oct 02

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)
Kali Allison, University of Maryland
2019 Sep 25

BiSEPPS Seminar

12:00pm to 1:00pm

Location: 

GeoMus 204 (McKinstry Seminar Room)
Nicolle Zellner, Albion College
SK

Serdar Kuyuk

Visiting Scholar

My research focuses on earthquake engineering and seismology. My goals are twofold: (a) close the gap between earthquake engineering and geoscience (b) apply earthquake early warning systems (EEWS) to engineering structures. I have significant experience in engineering application of EEWS, real-time seismology, and engineering application of cognitive sciences. I mainly worked on solving advanced problems of real-time EEWS and I developed the second version ElarmS which is the core algorithm of the current running EEWS in California, USA. I had been evaluating and improving earthquake early warning algorithms in California. I solved problems which real-time operations encounter such as accurate estimation of magnitude/intensity and their relation between frequency and amplitude of ground motion, and improved association/alert criteria to reduce missed and false alerts.

My research interests moreover include the engineering adaptive systems of artificial intelligence. This secondary interest with respect to cognitive modeling focuses on the application of artificial neural network (ANN) in the seismological application including pattern recognition, self-organizing maps etc. My research demonstrates how to utilize advanced supervised learning ANN techniques for EEWS applications. I wrote an ANN-based general program in MATLAB. I have gained expertise in sophisticated artificial intelligence methods to tackle the problem in this seismological and earthquake engineering environment. I applied a couple of pattern recognition algorithms such as the mixture of Gaussian, k-means, Self-Organizing Maps, decision three, compared with linear and nonlinear discriminant functions to classy quarry blast explosions and earthquakes near Istanbul. I am recently working on convolution and sequential neural network modeling using Keras tool and TensorFlow in python language.

Hoffman 103

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