"A Deep Learning Framework for Solution & Material Characterization in Mechanics" Dr Ehsan Haghighat

Описание: UBC Department of Civil Engineering SIERA Group 2020 Seminar Series – Seminar #8

"A Deep Learning Framework for Solution & Material Characterization in Mechanics"

Presented by:
Dr. Ehsan Haghighat
Postdoctoral Fellow, University of British Columbia
Research Affiliate, Massachusetts Institute of Technology

Dr. Ehsan Haghighat is a Postdoctoral Fellow in the UBC Civil Engineering Department. Before joining UBC, he was a Postdoctoral Associate with the Civil and Environmental Engineering Department of MIT where he studied Induced Seismicity problem due to CO2 sequestration and oil and gas injection and production, Stochastic Modeling and Machine Learning of engineering systems. He received his Ph.D. from McMaster University specializing in constitutive modeling of geomaterials with emphasis on modeling plastic deformation and damage, and numerical methods including FEM, XFEM, and Meshfree.

After his Ph.D., he worked at Forming Technologies Inc, Burlington ON, as a mechanics developer and project leader, where he developed Implicit FEM solver for the Sheet Metal Forming process through Mechanics of Shell and Contact with large deformation considerations. His research interest spans mechanics of solids and fluids, multi-phase flow in porous media, and numerical methods. At UBC, he is working on stochastic modeling of engineering systems with emphasis on uncertainty quantification and machine learning.

Presented on Friday, May 22, 2020.

To learn more visit:
https://siera.civil.ubc.ca/
https://civil.ubc.ca/