"I am a Assistant Professor in the Computer Engineering Department with strong academic and research interests in computer vision, machine learning, deep learning, and intelligent systems. I am actively involved in teaching core computer engineering subjects and guiding students in both theoretical foundations and practical, real-world applications.
My research focuses on AI-based image analysis, particularly in the area of agricultural disease detection using deep learning and hybrid models. I have experience working with transfer learning, vision transformers, object detection models (YOLO)