Faculty

My academic journey in Computer Science began with a strong foundation through B.Sc. and M.Sc., followed by earning my Ph.D. with specialization in Artificial Intelligence and Lung Cancer Classification. Over the years, I have developed expertise in machine learning, medical image analysis, web development, database management, and data structures. My research contributions include multiple publications in international conferences and journals, focusing on advanced medical imaging, automation, and AI-driven healthcare solutions.

As an Assistant Professor, I believe teaching is not just about delivering concepts but about inspiring curiosity and practical thinking among students. My teaching approach combines theoretical knowledge with real-time applications, helping students connect academic concepts to industry needs. I focus on creating an interactive and supportive learning environment that encourages critical thinking, problem-solving, and innovation. Alongside teaching, I actively engage in research, curriculum development, and mentoring students to achieve both academic and professional growth.