Chintala Shekhar is an Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Kaveri University. He has over 8 years of teaching experience in the field of Computer Science and Engineering, with a strong interest in emerging technologies and research-oriented teaching. His major areas of interest include Artificial Intelligence, Machine Learning, and Cyber Security. He has teaching and academic expertise in subjects such as Machine Learning, Neural Networks and Deep Learning, Vulnerability Assessment and Penetration Testing, Distributed Systems, Cryptography and Network Security, Database Management Systems, Operating Systems, Software Engineering, and Cyber Security.
His research contributions include publications in international and national journals and conferences. His recent research work focuses on paddy crop disease detection using deep learning, ensemble learning, and hybrid frameworks. He has also contributed to research and innovation through a patent on a system for real-time detection and severity assessment of paddy crop diseases. He actively participates in Faculty Development Programmes, workshops, seminars, and research oriented training programmes related to Artificial Intelligence, Machine Learning, Cyber Security, research methodology, and emerging technologies. He is also an ISTE Life Member since 2018. He is committed to quality teaching, student mentoring, research, and the integration of emerging technologies into education, contributing to academic excellence and the overall development of students and the institution.
