Welcome to my GitHub showcase, where the spirit of innovation and collaboration thrives! This is the space where I share the code that powers my projects, experiments, and ideas in the realms of Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), and biomedical sciences.
Exploring the Frontiers of Computational Science
As a passionate researcher and developer, I’ve embarked on exciting journeys into the realms of computational fluid dynamics and artificial intelligence. My GitHub repositories showcase two particularly fascinating projects that demonstrate the power of advanced computing in solving complex problems.
LidDrivenCavity3DParallel: Fluid Dynamics at Your Fingertips
Dive into the mesmerizing world of fluid dynamics with LidDrivenCavity3DParallel. This project brings the classic lid-driven cavity problem to life in three dimensions, leveraging the power of parallel computing for unprecedented performance.
Imagine peering into a cubic cavity filled with fluid, its top wall suddenly set in motion. How does the fluid respond? What intricate patterns emerge? My Java-based simulation answers these questions with stunning clarity and efficiency.
Key features:
- Harness the power of multi-core processing for fluid simulations
- Explore complex 3D flow patterns with high-fidelity numerical methods
- Visualize fluid behavior through stunning VTK outputs
Whether you’re a CFD enthusiast, a researcher, or simply curious about the hidden complexities of fluid motion, this project offers a window into a fascinating world of swirling eddies and complex flow structures.
Explore LidDrivenCavity3DParallel on GitHub.
SARSA-DeepAscent: Conquering Mountains with AI
Embark on a thrilling journey into the realm of deep reinforcement learning with SARSA-DeepAscent. This project tackles the challenging MountainCar environment, where an AI agent must learn to drive an underpowered car up a steep mountain.
Watch in awe as my Deep SARSA algorithm masters this seemingly impossible task through sheer persistence and clever strategy. It’s not just about reaching the top – it’s about understanding the optimal path to get there.
Key features:
- Witness the synergy of SARSA and deep neural networks in action
- Unravel the mysteries of Q-learning with experience replay
- Visualize the learning process with captivating plots and animations
This project serves as a testament to the power of combining traditional reinforcement learning techniques with deep learning. It’s an excellent resource for anyone interested in AI, machine learning, or the fascinating world of autonomous agents.
Discover SARSA-DeepAscent on GitHub
These projects represent just a snapshot of my ongoing work in computational science and artificial intelligence. The fields of fluid dynamics and machine learning are rapidly evolving, and I’m excited to continue exploring their frontiers.
Stay tuned for more interesting codes and projects! I’m constantly working on new ideas, refining algorithms, and pushing the boundaries of what’s possible with computational methods. Whether it’s more advanced CFD simulations, novel reinforcement learning approaches, or entirely new areas of research, there’s always something exciting on the horizon.
Follow my GitHub profile to be notified of new repositories and updates to existing projects. Who knows what computational challenges we’ll tackle next?
The adventure in code and science never ends – and I invite you to join me on this thrilling journey of discovery and innovation!