CV

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Summary

PhD candidate at Stony Brook University — Research Assistant at EEBFD lab — Research Assistant at AMEC Experienced in computational modeling and data-driven simulation of real-world problems in Civil & Mechanical engineering.

Education

• Ph.D in Civil Engineering, Stony Brook University, 2022-2026
  • Relevant Coursework: Computational Fluid Dynamics, Transport Phenomena, Principles in Parallel Computing, Direct Energy Conversion, Advanced Fluid Mechanics, Environmental Fluid Dynamics, Two phase flow and Heat Transfer, Coastal Engineering Plan & Design, Coastal Processes & Sediment Transport, Advanced Heat Transfer-Radiation
  • Thesis: Digital Twining of Marine Energy, Environmental and Biological Flows in the context of Immersed Boundary Method
  • Advisor: Dr. Ali Khosronejad
• M.S. in Mechanical Engineering, Isfahan University of Technology, 2017-2020
  • Relevant Coursework: Advanced Thermodynamics, Convection Heat transfer, Micro/Nano Fluid Flows, Continuum Mechanics, Advanced Engineering Mathematics, Boundary Layers
  • Thesis: Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields
  • Advisors: Dr. Mohsen Saghafian, Dr. Ebrahim Shirani
• B.S. in Mechanical Engineering, University of Guilan, 2012-2016
  • Relevant Coursework: Heat Transfer, Thermodynamics, Fluid dynamics, Gas Dynamics, Mechanics of Materials, Machine Elements Design, Statics, Dynamics, Material Science, Machine Dynamics, Vibration Theory, Control Theory, Water Distribution Systems, Hydraulics and Pneumatic Systems, Project Management and Control, Pressure Vessels Design
  • Capstone Project: Natural Ventilation of Houses by a Solar Wall (Trombe Wall)
  • Advisors: Dr. Amin Haghighi

Honors and Awards

• Best Poster Presentation Award, University Marine Energy Research Community (UMERC) Conference (2024)

Skills

• Programming: Python (Pandas, Numpy, Matplotlib, Seaborn, Plotly and Cufflinks), C/C++, MATLAB, Fortran, Bash
• Data & GIS: QGIS (bathymetric data processing, mesh generation), CloudCompare (point cloud processing & mesh generation), NetCDF
• AI & Machine Learning & Big Data: PyTorch, TensorFlow, Scikit-learn, Jupyter Notebook, Apache Spark
• Simulation: VFS Geophysics, OpenFOAM, ANSYS (Mechanical & Fluent & CFX)
• Meshing: Fidelity Pointwise, ANSYS Meshing, BlockMesh, snappyHexMesh, MeshLab
• High-Performance & Parallel Computing: Linux/Unix, Bash, MPI, OpenMP, Slurm, HPC workflows
• CAD & Design: SolidWorks, Catia, AutoCAD, Fusion 360, FreeCAD
• Version Control & Documentation: Git, GitHub, LaTeX
• Visualization & Image Processing: Tecplot, Paraview, Blender, Adobe Photoshop, InkScape

Work experience

• Research Assistant, Atlantic Marine Energy Center, Stony Brook, NY
  08/2022 – Present
  • Advisor: Dr. Ali Khosronejad
    • Developed high-fidelity CFD models using VFS Geophysics open-source multiphysics CFD solver to simulate complex hydrodynamic and aerodynamic systems on HPC clusters for renewable energy applications.
    • Conducted numerical investigations of turbulent flows using LES and RANS models, enhancing predictive capabilities for wind and marine turbine performance analysis.
    • Automated post-processing workflows using Python, MATLAB, Tecplot, and Paraview to extract turbulence metrics and streamline large-scale data analysis.
    • Validated CFD simulations against experimental data, ensuring high accuracy in modeling real-world fluid dynamics for engineering applications.
    • Collaborated with interdisciplinary teams to integrate computational insights into system designs, optimizing performance through fluid-flow analysis and data-driven engineering feedback.
    • Published and presented research in peer-reviewed journals and conferences, effectively communicating complex scientific findings to academic and industry collaborators.
• Engineering fellow | AI tutor, Handshake AI, Remote
  09/2025 – 10/2025
  • Developed prompts and step by step answer in civil, mechanical, & aerospace engineering in order to post train AI model’s reasoning.
• Heat to Power R&D Intern, Antora Energy, Sunnyvale, CA
  06/2024 – 08/2024
  • Supervisor: Moritz Limpinsel
    • Performed finite-element thermal analysis using ANSYS Mechanical to evaluate heat-transfer efficiency and optimize energy-storage component designs.
    • Developed and optimized 3D CAD models in SolidWorks to support FEA and CFD-based performance evaluations for industrial applications.
    • Created detailed technical reports and presentations to document simulation methodologies, results, and insights for cross-functional teams.
• Research Assistant, Isfahan University of Technology, Isfahan, IR
  09/2018 – 09/2020
  • Advisor: Dr. Mohsen Saghafian, Dr. Ebrahim Shirani
    • Conducted high-fidelity CFD simulations of electroosmotic flow in rectangular microchannels using an in-house Fortran-based numerical solver, analyzing the combined effects of electric and magnetic fields on microscale fluid transport.
    • Developed and implemented custom numerical algorithms in OpenFOAM to enhance solver accuracy and computational efficiency for electrokinetic flow modeling in microfluidic devices.

Certificates

• Model Validation 2 – Expert, Handshake AI

• Model Validation 1 – Trainer, Handshake AI
  • Completed rigorous coursework, quiz, and modeling assignment demonstrating mastery of validation best practices.
  • Identified weaknesses in high-performing models by intentionally breaking them and recommending corrective solutions.
  • Applied advanced techniques to detect overfitting, assess generalization, and ensure reliable model deployment.
• Navigating the Clean Energy Transition – Certificate of Completion, Stony Brook University
  • Gained interdisciplinary insight into offshore wind and clean energy sectors.
  • Learned policy, regulatory, and environmental considerations for clean-energy projects.
  • Explored technical, economic, and workforce challenges in the renewable-energy transition.
  • Developed understanding of stakeholder collaboration in the clean-energy landscape.
• Fundamentals of Fluid-Solid Interactions, Coursera (École Polytechnique)
  • Understood key concepts of fluid-solid coupling and interface dynamics
  • Applied principles of added mass, vibrations, and dynamic coupling in FSI systems
  • Modeled real-world FSI problems using analytical and computational techniques
  • Developed practical intuition for multiphysics systems in aerospace and mechanical engineering
• ENGR2000X: A Hands-on Introduction to Engineering Simulations, edX (Cornell University)
  • Learned to run engineering simulations using ANSYS (structural, fluid, thermal)
  • Applied finite element and finite volume methods to real-world problems
  • Gained skills in mesh generation, boundary condition setup, and post-processing
  • Built foundational knowledge of verification, validation, and best practices in simulations
• Intro to Heat Transfer in Mechanical Structures, Ansys
  • Heat Transfer
  • Thermal Analysis
• Topics in Heat Transfer Analyses, Ansys
  • Heat Transfer
  • Ansys Mechanical
  • Temperature Dependent Convection
  • Thermal Radiation
  • Thermal Stress

Publications

Predicting Equilibrium Bed Morphology of Large-Scale Meandering Rivers Using a Novel LES-Trained Machine Learning Approach

Zhang, Z., Gholami Anjiraki, M., Seyedzadeh, H., Sotiropoulos, F., Yang, X., & Khosronejad, A. (2025). Predicting equilibrium bed morphology of large‐scale meandering rivers using a novel LES‐trained machine learning approach. Journal of Advances in Modeling Earth Systems, 17(10), e2024MS004710.

Wind farm layout optimization using a novel machine learning approach

Anjiraki, M. G., Santoni, C., Shapourmiandouab, S., Seyedzadeh, H., Craig, J., Sotiropoulos, F., & Khosronejad, A. (2025). Wind farm layout optimization using a novel machine learning approach. arXiv preprint arXiv:2509.07868.

On the interaction of fish and marine hydrokinetic turbines: Insights gained through experimental and computational observations

Seyedzadeh, H., Anjiraki, M. G., Sorisio, G. S., Wilson, C., Sotiropoulos, F., & Khosronejad, A. (2025). On the interaction of fish and marine hydrokinetic turbines: Insights gained through experimental and computational observations. arXiv preprint arXiv:2508.04558.

Large eddy simulation of a utility-scale vertical-axis marine hydrokinetic turbine under live-bed conditions

Gholami Anjiraki, M., Aksen, M. M., Craig, J., Seyedzadeh, H., & Khosronejad, A. (2025). Large eddy simulation of a utility-scale vertical-axis marine hydrokinetic turbine under live-bed conditions. Physics of Fluids, 37(5).

Large eddy simulation of a utility-scale horizontal axis turbine with woody debris accumulation under live bed conditions

Aksen, M. M., Seyedzadeh, H., Anjiraki, M. G., Craig, J., Flora, K., Santoni, C., ... & Khosronejad, A. (2025). Large eddy simulation of a utility-scale horizontal axis turbine with woody debris accumulation under live bed conditions. Renewable Energy, 239, 122110.

On the impact of debris accumulation on power production of marine hydrokinetic turbines: Insights gained via LES

Aksen, M. M., Flora, K., Seyedzadeh, H., Anjiraki, M. G., & Khosronejad, A. (2024). On the impact of debris accumulation on power production of marine hydrokinetic turbines: Insights gained via LES. Theoretical and Applied Mechanics Letters, 14(6), 100524.

Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields

Saghafian, M., Seyedzadeh, H., & Moradmand, A. (2024). Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields. Scientia Iranica. Transaction B, Mechanical Engineering, 31(16).

On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling

Seyedzadeh, H., Craig, J., & Khosronejad, A. (2024). On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling. Medical research archives, 12(5), 5441.

Saliva particles transport during normal breathing through mouth and nose

Lagrangian dynamics of particle transport in oral and nasal breathing

Seyedzadeh, H., Oaks, W., Craig, J., Aksen, M., Sanz, M. S., & Khosronejad, A. (2023). Lagrangian dynamics of particle transport in oral and nasal breathing. Physics of Fluids, 35(8).

Talks

A novel LES-augmented machine learning algorithm for turbulent flow and bed morphodynamics prediction in large-scale environments

November 24, 2024

Conference proceedings talk at 77th Annual Meeting of the Division of Fluid Dynamics, Salt Lake City, UT, USA

A study on the interaction of fish and marine hydrokinetic turbine wakes: Insights gained via laboratory tests and large-eddy simulations

November 24, 2024

Talk at 76th Annual Meeting of the Division of Fluid Dynamics, Salt Lake City, UT, USA

On the Hydrodynamic Analysis of a Vertical Axis MHK Turbine: Investigating Fish Trajectories via Large-Eddy Simulation

August 07, 2024

Conference proceedings talk at 2024 UMERC + METS Conference, Duluth, MN, USA

Saliva particles transport during normal breathing through mouth and nose

November 20, 2023

Talk at 76th Annual Meeting of the Division of Fluid Dynamics, Washington, DC, USA

Teaching

Numerical Analysis for Civil Engineers (CIV350)

Fluid Mechanics for Civil Engineers (CIV364)

Thermodynamics I

Fluid Mechanics I

Peer Review Activities

• Journal Reviewer
  • Journal of Renewable Energy (2024-Present)
  • Physics of Fluids (2023-Present)
  • Journal of Cogent Engineering (2024-Present)

Professional Memberships

• American Society of Civil Engineers (ASCE) - Student Member (2024-Present)
• American Association for the Advancement of Science (AAAS) - Student Member (2024-Present)
• American Physical Society (APS) - Student Member (2023-Present)
• Institute of Marine Engineering, Science and Technology (IMarEST) - Student Member (2024-Present)

Projects

For a comprehensive overview of my research and technical projects, including detailed descriptions, methodologies, and outcomes, please visit my Portfolio section.

Key project areas include:

• High-fidelity CFD simulations for renewable energy applications
• Thermal analysis and optimization for energy storage systems
• Large-scale computational workflows on HPC clusters