Ehsan Haghighat
About Ehsan Haghighat
Ehsan Haghighat is a Staff Software Engineer and Research Scientist currently affiliated with the Massachusetts Institute of Technology since 2017. He has extensive experience in machine learning, stochastic modeling, and numerical methods, holding degrees in Civil Engineering and Structural Mechanics from Persian Gulf University and Sharif University of Technology, respectively.
Work at Carbon
Ehsan Haghighat currently serves as a Staff Software Engineer and Research Scientist at Carbon, a role he has held since 2022. His work focuses on the development and application of deep learning methods within the framework of Scientific Machine Learning (SciML). This position is based in the San Francisco Bay Area, where he contributes to innovative projects that leverage advanced computational techniques.
Research Affiliate at MIT
Since 2017, Ehsan Haghighat has been a Research Affiliate at the Massachusetts Institute of Technology (MIT). In this capacity, he engages in research that explores the mechanics of solids and porous media, particularly emphasizing nonlinear solid and geomechanics. His affiliation with MIT highlights his commitment to advancing scientific knowledge in his field.
Education and Expertise
Ehsan Haghighat holds a Bachelor's Degree in Civil Engineering from Persian Gulf University, obtained between 2003 and 2007. He furthered his education at Sharif University of Technology, earning a Master's Degree in Structural Mechanics from 2007 to 2010. He completed his Doctor of Philosophy (Ph.D.) in Structural Mechanics at McMaster University from 2011 to 2014. His academic background is complemented by expertise in numerical methods for solving ordinary and partial differential equations (ODEs and PDEs), stochastic modeling, and uncertainty quantification.
Previous Positions and Research Experience
Ehsan Haghighat has held several notable positions prior to his current roles. He worked as a Postdoctoral Researcher at The University of British Columbia from 2020 to 2021, focusing on machine learning, stochastic modeling, and risk assessment. He also served as a Research and Teaching Assistant at McMaster University in the Civil Engineering Department from 2011 to 2014. His experience includes a role as a Data Scientist at GEOTAB in 2021 and as Lead Mechanics at Forming Technologies Inc from 2014 to 2016.
Research Contributions and Skills
Ehsan Haghighat has made significant contributions to scientific research, as evidenced by his Google Scholar profile, which showcases his academic citations. His skills include high-performance computing (HPC) and proficiency in tools such as OpenMPI, Matlab, and Fortran. He has taken advanced courses in convex optimization and coupled multiphysics modeling, which enhance his analytical capabilities in the field.