User:Kimia Ketabforoosh

User data

Name	Kimia Ketabforoosh
Affiliations
Location
Nationality
Skills	Python, Machine Learning, Computer Vision
Interests	Transformers, Color Imaging
Email	kaghamohuwoca
Links	orcid.org
Registered	2021

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.

Machine Learning | Computer Vision | Data Analysis

Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks

• 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.

• Hang-printer

• Vegetable Size Detection
• Waste Plastic Color-Matching

• Strawberry Wall
• Digital Research Alliance GPU
• Webcam Setup