Rasoul Ameri
I am a Ph.D. candidate in AI and applied machine learning researcher with experience in computer vision, deep learning, time-series forecasting, and interpretable AI for industrial, medical, and environmental applications.
My work bridges research and engineering, including Vision Transformer and CNN-based inspection systems, medical image analysis, PM2.5 and environmental forecasting, signal analysis, and deployable AI workflows.
I am interested in computer vision and machine learning engineering roles , with growing research interests in vision-language models, agentic AI, and scalable, explainable AI systems.
News
- 2026Published LACTNet for defect degmentation.
- 2024Published systematic review work on deep learning for industrial surface defect detection.
- 2023Published PM2.5 forecasting work integrating CEEMDAN, SVM, and LSTM.
Selected Publications
2026
LACTNet: A Label-Aware CNN-Transformer Network for surface defect segmentation
Expert Systems with Applications
2023
Forecasting PM2.5 concentration based on integrating CEEMDAN with SVM and LSTM
Ecotoxicology and Environmental Safety
2023
A Robust Approach for Endotracheal Tube Localization in Chest Radiographs
Frontiers in Artificial Intelligence
2022
Labeled projective dictionary pair learning: application to handwritten numbers recognition
Information Sciences