Shams Tabrez Siddiqui
Papers
1
Total Citations
16
H-Index
1
About
Dr. Shams Tabrez Siddiqui is a leading researcher at the intersection of artificial intelligence, robotics, and autonomous systems. His work focuses on developing intelligent control architectures that integrate computer vision with deep learning to enhance the navigation and decision-making capabilities of mobile robots. In his highly cited 2021 paper, “Computer Vision-Control-Based CNN-PID for Mobile Robot,” Dr. Siddiqui pioneered a hybrid framework that fuses convolutional neural networks with traditional PID controllers, enabling more adaptive and robust self-driving control systems. This contribution has garnered 16 citations and is recognized as a key advancement in bridging AI perception with real-time robotic actuation. Dr. Siddiqui’s research is particularly influential in the autonomous vehicle industry, where his methods address critical challenges in dynamic environment handling and system stability. His work continues to shape next-generation intelligent transportation systems, making him a notable figure in applied AI and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1Computer Vision-Control-Based CNN-PID for Mobile Robot16 citations · 2021