He is passionate about teaching, research, innovation, and mentoring students to develop practical problem-solving skills. His primary research interests include Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Particle Swarm Optimization, Explainable AI, and emerging intelligent computing technologies. His research focuses on developing innovative AI-driven solutions for real-world challenges across healthcare, agriculture, cybersecurity, legal education, and sustainable development. He actively contributes to scholarly publications, research collaborations, conference activities, and interdisciplinary projects. In addition to his teaching responsibilities, he participates in academic coordination, curriculum planning, student mentoring, and institutional development initiatives. He is committed to integrating emerging technologies into education, fostering research excellence, encouraging innovation, and building meaningful collaborations between academia and industry.