Muhammad S.

I am a Ph.D. doctor from Sungkyunkwan University (Top 100 in QS) South Korea. The following are my research interests: 1. Natural Language Understanding and Processing: 2. Deep Learning Frameworks in TensorFlow: 3. Machine Learning Pipelines with Azure ML Studio: 4. Vision-Based Systems using Convolutional Networks: Implementing advanced computer vision techniques for image classification, segmentation, and feature extraction. Utilizing neural networks to improve visual recognition accuracy and real-time processing. 5. Applied AI in Power System Transmission and Distribution: Harnessing artificial intelligence techniques to optimize, monitor, and control power system operations. Investigating AI-driven solutions for grid reliability, demand forecasting, and integration of renewable energy sources. Sequence and Time Series Analysis in AI. I have also a team of professional writers and researchers from the Medical, Electrical, and Mechanical fields.