General Information
| Full Name | Hossein (Aria) Seyedzadeh |
|---|---|
| hossein.seyyedzadeh@stonybrook.edu | |
| Website | hosseinsz93.github.io |
| GitHub | hosseinsz93 |
| hosseinseyedzadeh | |
| Languages | English, Persian |
| Date of Birth | 29th, October 1993 |
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
- Advisor: Dr. Ali Khosronejad
- Thesis: Digital Twining of Marine Energy, Environmental and Biological Flows in the context of Immersed Boundary Method
- Advisors: Dr. Mohsen Saghafian, Dr. Ebrahim Shirani
- Thesis: Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields
- Advisors: Dr. Amin Haghighi
- Capstone Project: Natural Ventilation of Houses by a Solar Wall (Trombe Wall)
Research Interests
Honors and Awards
- Best Poster Presentation Award, University Marine Energy Research Community (UMERC) UMERC+METS Conference (2024), Duluth, MN
- Finalist, Three Minute Thesis (3MT), Stony Brook University (2026), Video Link
- Selected Participant, Marine Energy Short Course, Atlantic Marine Energy Center (AMEC), Stony Brook University (2026) (Fully funded by U.S. Department of Energy)
- Principal Investigator (PI), ACCESS-CI HPC Allocation: “High-Fidelity Modeling of Renewable Energy Systems: Tidal Farms” (2026–2027); awarded 150,000 compute credits across Purdue Anvil and Texas A&M ACES systems
- Featured in Stony Brook University News for research on tidal energy systems: Article Link
- Featured in Stony Brook University’s Department of Civil Engineering News for research on tidal energy systems Article Link
Skills
- Scientific Computing: LES, DNS, CURVIB/IBM, Eulerian–Lagrangian Multiphase, Finite Volume/Difference
- AI/ML & Data Analysis: PyTorch, TensorFlow, CNNs, Scikit-learn, Python (Pandas, NumPy, Matplotlib), MATLAB
- HPC & Scalability: Linux/Unix, MPI, OpenMP, Slurm, HPC Workflows, Bash, Apache Spark
- Simulation/Solvers: VFS Geophysics, OpenFOAM, ANSYS (Mechanical & Fluent & CFX)
- Meshing & Pre-processing: Fidelity Pointwise, ANSYS Meshing, blockMesh, snappyHexMesh, MeshLab
- CAD: SolidWorks, CATIA, AutoCAD, Fusion 360, FreeCAD
- GIS: QGIS, Cloud Compare
- Visualization: Tecplot, ParaView, Blender, Adobe Photoshop, Inkscape
- Version control: Git, GitHub, LaTeX
Research experience
- Research Assistant, Atlantic Marine Energy Center, Stony Brook, NY
08/2022 – Present- Advisor: Dr. Ali Khosronejad
- Built complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
- Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models.
- Implement and document new algorithms into computational modeling systems as needed.
- Run simulations on high-performance computing (HPC) systems for both idealized and real-world scenarios.
- Applied scripting tools (e.g., MATLAB, Python) to automate model setup and output analysis.
- Used and manage version control systems (Git) for code development and collaboration, as well as documented all codes, workflows, and analysis procedures.
- Conducted research and developed advanced computational models and simulation tools for complex physical systems, including multiphysics and multiscale phenomena.
- Developed controls solutions for industrial applications e.g. wind/tidal turbines.
- Experienced applying AI/ML for simulation acceleration, optimization, or predictive maintenance.
- Managed and mentored a team of 4 Ph.D. students on code development and manual writing.
- Authored 5+ technical reports and publications for Department of Energy (DOE) sponsor reviews, demonstrating capacity for high-stakes technical communication to executive audiences.
- Advisor: Dr. Ali Khosronejad
- Research Assistant, Isfahan University of Technology, Isfahan, IR
09/2018 – 09/2020- Advisor: Dr. Mohsen Saghafian, Dr. Ebrahim Shirani
- Designed and executed microscale CFD simulations for flow modeling and heat transfer of an electroosmotic micropump using both commercial and open-source software.
- Participate in verification and validation activities to ensure model accuracy and robustness against experimental data.
- Built complex multi-physics models including phenomena like fluid mechanics, electric and magnetic fields, and electrochemistry from geometry buildup and meshing, to simulating and post-processing.
- AI Model Evaluation Engineer, Handshake AI, Remote
09/2025 – 10/2025- Created and assessed complex problems in engineering across subdomains such as civil, mechanical, aerodynamics.
- Evaluate AI-generated responses for conceptual accuracy, technical rigor, and domain relevance.
- Provide clear written feedback on engineering problem sets, designs, and solutions.
- Collaborate asynchronously with AI researchers and engineers to iterate and improve model performance.
- Ensure technical accuracy and academic precision in all engineering content used to train or evaluate AI systems.
- Achieved Model Validation expert and trainer certifications.
- Advisor: Dr. Mohsen Saghafian, Dr. Ebrahim Shirani
Professional experience
- Heat to Power R&D Intern, Antora Energy, Sunnyvale, CA
06/2024 – 08/2024- Supervisor: Moritz Limpinsel
- Optimized the performance of a novel electric-discharge module for thermal energy storage by implementing multi-physics thermal analyses (ANSYS Mechanical), identifying design modifications that increased system efficiency in high-temperature R&D modules.
- Streamlined computational workflows by developing optimized SolidWorks CAD designs, resulting in a reduction in overall meshing and simulation computing cost.
- Collaborated with cross-functional R&D teams, documenting and presenting complex simulation workflows to guide thermal battery and Thermophotovoltaic system designs.
- Perform design calculations, FEA, and trade studies for structural, thermal, and fluid systems.
- Supervisor: Moritz Limpinsel
Certificates
Mathematics for Machine Learning: Linear Algebra, [Coursera (Imperial College London)]
- 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.
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
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
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
Conference proceedings talk at 2024 UMERC + METS Conference, Duluth, MN, USA
Saliva particles transport during normal breathing through mouth and nose
Talk at 76th Annual Meeting of the Division of Fluid Dynamics, Washington, DC, USA
Teaching Experience
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.