Amir Moayyedi

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AI Engineer, Xogrox AI
2024- present
- Annotated grapevine disease images using Roboflow and developed Python code for vineyard disease detection, utilizing different YOLO models (YOLOv8, v9, GELAN, v10, v11) for real-world applications.
- Hyperparameter Tuning using Optuna (optimization framework) to tune hyperparameter into best YOLO mode.
- Developed the Navigation Stack in ROS, Gazebo, and Rviz to facilitate robotic navigation in vineyards (Ongoing).
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Data Science researcher in Structural Engineering, Portland State University (PSU)
2022- Present
- A Reinforcement Learning-Driven Framework for Decision Tree Transformation: From Soft decision Trees to Linear Model Tree and Hard Decision Trees for Enhanced Interpretability Using Temperature, Pruning and Regularization and other technics (PyTorch).
- Implemented a new probabilistic risk assessment method for bridge networks using Gauss–Legendre Quadrature for uncertainty quantification (Python).
- Applied dynamic programming and Bellman Optimality Equations for policy iteration and value iteration in grid world problems (Python).
- Leveraged data mining for network-level planning with proficiency in benefit-cost analysis using value iteration (MDP) (Python).
- Created a decision model optimizing bridge maintenance, repair, and reconstruction (MR&R) policies, accounting for earthquake-related uncertainties (Python).

- Optimum life-cycle maintenance strategies for deteriorating highway bridges subject to seismic hazard by a hybrid Markov decision (Python).
- Implemented a five-armed bandit problem with greedy and epsilon-greedy action selection algorithms (Python).
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Data Mining Engineer, Behsazan
2016 - 2021
- Used Probabilistic and statistical models to estimate the probability of hazard occurrence and its potential cost on offshore structures (Open Sees, MATLAB).
- Used statistical techniques to identify patterns,

As a research assistant at Portland State University, I specialize in Deep Learning, Machine Learning, and Computer Vision with applications in structural analysis and agriculture.