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Principal Investigator


Prof. Hessam Babaee

Hessam Babaee received his B.Sc. (2003) and MSc. (2006) from University of Tehran in Mechanical Engineering. He then received M.Sc. in Applied Mathematics and PhD in Mechanical Engineering  both from Louisiana State University  (2013).  He then joined Massachusetts Institute of Technology (MIT) as a Postdoctoral Associate. In 2017, he joined the Department of Mechanical Engineering and Materials Science at the University of Pittsburgh  as an Assistant Professor. 

Graduate Students

Michael Donello


My name is Michael Donello and I am a Ph.D. candidate in the Mechanical Engineering department. I am a graduate of the University of Pittsburgh where I received my BS in Mechanical Engineering in 2018.  During my time as an undergraduate, I worked on various research projects where I became interested in fluid dynamics and developed a passion for understanding complex flows using data-driven modeling and dimension reduction. These interests led me to pursue a Ph.D. in Mechanical Engineering where I am now a research assistant working to develop reduced-order modeling techniques for calculating sensitivity in chaotic flows. 


Although I take my work very seriously, I like to maintain a positive and welcoming environment and you can usually find me cracking a joke in the lab with my peers. In my free time, I enjoying working out and exploring new places to eat in the great city of Pittsburgh!

Alireza Amiri

Alireza Amiri.JPG

My Name is Alireza Amiri Margavi.  I received a BSc from the K. N. Toosi University of Technology in 2015 and an MSc from the University of Tehran in 2018, in which I became interested in dynamical systems and extracting information from data during my master studies. I am currently a Ph.D. student in the Computational Modeling and Simulation Program at the University of Pittsburgh, where I work under the supervision of Professor Hessam Babaee. My research is focused on advancing theory and methods in order to improve our understanding of high-dimensional and nonlinear dynamical systems such as turbulent flow.

Shaghayegh Zamani

Shaghayegh Zamani.JPG

My passion and interest in modeling and predicting physical phenomena led me to become a Ph.D. student at the University of Pittsburgh in Computational Modeling and Simulation after I graduated from the Sharif University of Technology in Aerodynamics. My current research is to develop a computational model with the least possible computational time to simulate blood flow in the brain or artery which involves machine learning, data science, and reduced-order modeling. The aim of this project is to enhance stroke diagnosis and prevent death or possible disabilities.

Hossein Naderi


I am a Ph.D. student in Computational Modeling and Simulation (CMS) program with a background in reduced-order modeling, deep learning, fluid dynamics, and computational sciences. I received my B.Sc. in Aerospace Engineering from K. N. Toosi University of Technology in 2016 and an M.Sc. in Aerospace Engineering (Aerodynamics) from the University of Tehran in 2019. My research focuses on reduced-order modeling of high-dimensional partial differential equations using time-dependent bases.

Grishma Palker


I am a  Ph.D. student in the Computational Modeling and Simulation (CMS) program at the University of Pittsburgh. My current work focuses on the stability analysis of the reduced-order modeling of stochastic systems. I received my MS in Applied Mathematics from the University of Pittsburgh. I completed my undergraduate from the IISER-Bhopal with a Mathematics major and a Physics minor. Apart from math, I’m passionate about painting and gardening. “Life is full of surprises. It’s best to go with the flow”


  • Dr. Prerna Patil: Ph.D. Student (2017-2022)

  • Dr. Donya Ramezanian:  Postdoctoral Associate (2019-2020)

  • Dr. Arash Nouri: Postdoctoral Associate (joint with Prof. Givi) (2018-2020)

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