Pawan Shivan is a university lecturer and researcher specializing in Computer Science, with expertise in Computer Vision, Biometrics, Digital Image Processing, Artificial Intelligence, Information Retrieval Systems, and Web Technologies. He teaches both undergraduate theoretical and laboratory courses, including Digital Image Processing, Computer Networks, Web Design, Project Management, and Microsoft Office applications, combining academic knowledge with practical, hands-on learning. His research focuses on developing intelligent image analysis and pattern recognition systems, particularly in face recognition, fingerprint recognition, hand gesture recognition, medical image analysis, and plant disease detection using machine learning and deep learning techniques. His work integrates advanced image processing methods with modern AI models to improve the accuracy and efficiency of real-world applications. Among his notable academic achievements are receiving a full score in his departmental teaching portfolio for two consecutive years and preparing research for publication in Scopus-indexed journals. He has also supervised undergraduate research projects and contributed to curriculum development through the preparation and continuous improvement of course and module handbooks. Through teaching, research, and academic mentorship, he actively contributes to advancing computer science education and fostering innovation in applied artificial intelligence and image processing.