![](/w/images/thumb/c/cb/Kimia-weston.jpg/297px-Kimia-weston.jpg)
Academic Background[edit | edit source]
A graduate student at the University of Western Ontario and a member of FAST lab focusing on machine learning and computer vision, possessing extensive expertise in ML algorithms and image analysis, along with practical skills in object segmentation. Proficient in web development and data analytics. Holds a Bachelor's degree in Engineering. Enthusiastic about integrating computer vision and color science technologies into 3D printing.
Research Interests[edit | edit source]
Machine Learning | Computer Vision | Data Analysis
Publications[edit | edit source]
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Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks |
Technical Skills[edit | edit source]
- Programming Languages: Python, MATLAB, JavaScript, C (fundamentals)
- Machine Learning and Computer Vision: Large Language Modeling, Natural Language Processing, Transformers, Object Recognition, Image Segmentation, Auto-encoders, Augmentation.
- Data Analysis and management: Data Visualization, Data Cleaning, Data Preparation, Data Collection, Optimization, Evaluation,Forecasting, Recommender Systems, Time Series, Decision Tree, Microsoft Excel, MySQL
- Libraries: PyTorch, TensorFlow, NumPy, Matplotlib, Keras, Pandas, Sci-kit Learn, OpenCV, PIL
- Additional Tools: Experienced in deployment using Docker and version control with Git.