Developed an advanced neural network model architecture, leveraging LSTM and attention mechanisms to predict long-term transient chaos in 1D, 2D, and 3D nonlinear systems with only 0.1% of training data• Implemented optimization techniques and data preprocessing methods, achieving up to 99.998% accuracy on predictions based on real-world experimental data
Education
The University of Memphis
Bachelor of Science - BS
2021 — 2024
The University of Memphis
Master of Science - MS
2024 — 2025
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Naitik Kaythwal — Research Assistant and Lead Developer at Herff College Of Engineering in Memphis, TN, US | Unifers