Maryam Hakimzadeh | Johns Hopkins University

Biography

Hello! I’m a Postdoctoral Researcher specializing in Scientific Machine Learning (SciML) and Artificial Intelligence for Science (AI4Science), with a PhD in Computational Mechanics from Carnegie Mellon University. My research focuses on integrating machine learning and artificial intelligence with computational mechanics to accelerate numerical simulations and tackle complex computational challenges in engineering. My current research area focuses on developing neural operators and diffusion models for SciML tasks.

My PhD research centered on phase-field fracture modeling, computational mechanics, and numerical methods. I also applied machine learning and data science techniques to solve structural, heat transfer, and other mechanical problems.

My PhD research was advised by Professor Kaushik Dayal and Professor David Rounce.

My postdoc research is advised by Professor Somdatta Goswami and Proffesor Lori Graham-Brady.

Research Interests

Machine Learning: Scientific Machine Learning, Neural Operators
Computational Mechanics: Fracture Mechanics, Finite element analysis (FEA), Phase-field Modeling

News

[Aug 2025] Our paper on AI-accelerated physics modeling is accepted to Computer Methods in Applied Mechanics and Engineering.
[May 2025] Our paper on Importance of crack face contact in phase-field fracture is accepted to Journal of Applied Mechanics.
[Dec 2024] I joined Johns Hopkins University as postdoc researcher ins scientific machine learning!
[Nov 2024] Our paper on Anisotropic phase-field fracture modeling is accepted to International Journal for Numerical and Analytical Methods in Geomechanics.
[Sep 2024] I defended my PhD thesis in Computational Mechanics !
[Dec. 2023] Our work on crevasse nucleation and propogation is presented in AGU.
[Jun 2022] Our paper on Phase-field fracture mechanics is accepted to JMPS.
[Jan 2020] Our paper on Statistical analysis of air pollutants in Milan is accepted to Journal of Atmospheric Environment.

Publications

JMPS

Phase-field finite deformation fracture with an effective energy for regularized crack face contact

Maryam Hakimzadeh, Vaibhav Agrawal, Kaushik Dayal, Carlos Mora-Corral

Journal of the Mechanics and Physics of Solids

PDF Code

Atmospheric Environment

The impact of biomass burning on the oxidative potential of PM2. 5 in the metropolitan area of Milan

Maryam Hakimzadeh, Ehsan Soleimanian, Amirhosein Mousavi, Alessandro Borgini, Cinzia De Marco, Ario A Ruprecht, Constantinos Sioutas

Atmospheric environment

PDF

Conferences

Mach 2025

Accelerating Numerical Solvers with AI-based Surrogate Models

Maryam Hakimzadeh, Wei Wang, Haihui Ruan, and Somdatta Goswami,

https://machconference.org/

PDF