Brendan Meade first joined Harvard as Daly Postdoctoral fellow and continued as an Assistant then Associate Professor of Earth & Planetary Sciences.
His research is focused on the geodetic imaging of earthquake cycle processes with an emphasis on the detection of interseismic elastic strain accumulation. Meade's lab is responsible for deconvolving tectonic and earthquake cycle signals across the Japanese Islands to identify the coupled subduction zone interface that ruptured during the great Tohoku-oki earthquake of 2011. He holds Ph.D. in Earth, Atmospheric, and Planetary Sciences from the Massachusetts Institute of Technology and B.A. in the History of Science, Medicine, and Technology from Johns Hopkins University.
I am a seismologist interested in ambient seismic sources and the way they illuminate the subsurface to provide us nearly continuous information about Earth structure. I am utilizing ambient noise to study the site response of sedimentary basins, which is an important hazard factor during earthquakes. It may also reveal how sedimentary basins, which underlie many towns and cities, respond to environmental changes.
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...
We welcome Prof. Magali Billen as the Harvard EPS Visiting Scholar from November 4-6, 2019. Professor Billen is a geophysicist who uses numerical tools to understand subduction zone dynamics and a wide variety of related phenomena. Additional information about Dr. Billen’s research can be found at her ...
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...
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.
I am a seismologist, using seismological methods to solve geological/tectonic problems and to understand natural hazards. I am interested in a variety of research topics, including seismicity and earthquake hazards, structure and evolution of intracratonic basins and uplifts, dynamics of subduction systems, and improvements in seismic data processing methods. As a long-term interest, I aim to integrate results from multidisciplinary research fields, including geology, geophysics, geochemistry, and geodynamics in addressing tectonic questions. At Harvard University, I am conducting research on several exciting topics, mostly focusing on a better characterization of seismic wavefields and earthquake hazards for megathrust earthquakes at subduction zones, as well as earthquakes occurring along strike-slip faults.