Mr. Sayed Faizan

Assistant Professor

Mr Sayed Faizan is a Computer Science academician and researcher with a strong interest in Machine Learning, Deep Learning, and Computer Vision. My primary research focuses on intelligent road infrastructure systems, particularly pothole detection using YOLO-based deep learning models. I am passionate about combining theoretical foundations with practical, real-world problem solving and actively engage students in applied learning and research-oriented thinking.

My Research Interests include: Machine Learning and Deep Learning, Computer Vision and Object Detection, Intelligent Transportation Systems and AIoT and Edge Computing (introductory level)

Academic & Research Experience

• Conducted comparative research on YOLOv11, YOLOv8, and earlier YOLO versions for pothole detection
• Experience in dataset preparation, annotation, training, evaluation, and performance analysis
• Hands-on experience with Google Colab, Python, OpenCV, PyTorch, and Weights & Biases (wandb)
• Guided and assisted students in mini-projects related to Machine Learning and Data Science

Teaching Interests

• Machine Learning
• Artificial Intelligence
• Data Structures and Algorithms
• Operating Systems
• Python Programming
• Computer Vision Fundamentals
• OOPS

Google Scholar link: https://ieeexplore.ieee.org/author/821584818448152