🚀 Fluid Mechanics Engineer | Deep Learning Enthusiast | Open Source Contributor
🔭 Currently working on Super-Resolution in Fluid Dynamics using Deep Learning
🌱 Learning Data-Driven Methods for Fluid Mechanics & Turbulence Modeling
💡 Passionate about AI, Deep Learning, Fluid Dynamics, and Open Source CFD Solver
- 🏠 Portfolio
- 📧 Email: ali.aliakbari@ut.ac.ir | ali0aliakbari0@gmail.com
💻 Languages: Python, MATLAB
🔬 Deep Learning: PyTorch, Keras, scikit-learn
🖥️ DevOps: Docker
📊 Data Science: Pandas, NumPy, OpenCV
- Deep Learning for Fluid Dynamics: Exploring the use of deep learning to solve complex fluid mechanics problems, including super-resolution and turbulence modeling.
- Data-Driven Methods for CFD: Investigating how AI can improve the efficiency and accuracy of computational fluid dynamics (CFD) simulations.
- Super-Resolution in Fluid Dynamics: Leveraging deep learning to enhance the resolution of fluid flow simulations.
- Turbulence Modeling using Deep Learning: Using deep learning to predict turbulence behavior in fluid systems.
- Contribute to my projects on GitHub.
- Open to collaboration and discussion in the areas of Fluid Mechanics and Deep Learning.