I am Dr. Shanker Chandre, Associate Professor in the Department of Computer Science and Artificial Intelligence, with over 18 years of teaching experience and a Ph.D. in Computer Science. My academic expertise encompasses Artificial Intelligence, Machine Learning, Data Science, Data Mining, Cloud Computing, and Cybersecurity.

My research focuses on developing intelligent, efficient, and secure computational solutions to real-world problems. My key research interests include medical image processing, deep learning, precision agriculture, cloud resource optimization, IoT authentication, and AI-driven security systems. I actively contribute to research publications, interdisciplinary collaborations, and innovative technology development.

My teaching interests include Artificial Intelligence, Machine Learning, Data Structures, Data Analytics, Cloud Computing, and Software Engineering. I emphasize outcome-based education, practical learning, problem-solving, and research-oriented teaching methodologies to enhance students’ technical competencies and analytical thinking. I am passionate about mentoring undergraduate, postgraduate, and Ph.D. scholars, encouraging innovation, promoting quality research, and fostering collaboration between academia and industry.