Negin Yousefpour, PhD, Pe
About Negin Yousefpour, PhD, Pe
Negin Yousefpour, PhD, PE, is a Senior Geotechnical Engineer at Arup and a Doreen Thomas Fellow at the University of Melbourne. She specializes in computational geotechnics, applied AI/ML, and geo-seismic analysis.
Company
Negin Yousefpour currently works at Arup as a Senior Geotechnical Engineer. She has held various roles at Arup, including Senior Geotechnical Engineer in Melbourne, as well as in New York and Houston. Additionally, she serves as a Doreen Thomas Fellow at the University of Melbourne.
Title
Negin Yousefpour holds the title of Senior Geotechnical Engineer at Arup. She is also a Doreen Thomas Fellow at the University of Melbourne.
Education and Expertise
Negin Yousefpour has a PhD in Geotechnical Engineering from Texas A&M University, an MSc in Geotechnical Engineering from Sharif University of Technology, and a BSc in Civil Engineering from Iran University of Science & Technology. She specializes in computational geotechnics, applied AI/ML, probabilistic methods, soil-structure interaction analysis, and geo-seismic analysis. She also has expertise in performance simulation of geo-structural systems using LS-Dyna and the finite element method.
Background
Negin Yousefpour has extensive experience in the field of geotechnical engineering. She began her career as a Civil Engineer at Rahshahr International Group and a Civil Designer at ART Consultant Engineers Company. She later became a Research Assistant and Teaching Assistant at Texas A&M University. At Arup, she has held various geotechnical engineering roles in New York, Houston, and Melbourne.
Achievements
Throughout her career, Negin Yousefpour has gained significant experience and expertise in geotechnical engineering. She has worked on complex projects involving advanced geotechnical analysis and design, including the use of finite element methods and performance simulation tools like LS-Dyna. She is recognized for her specialization in computational geotechnics and her contributions to the field through applied AI/ML and probabilistic methods.