Dr. K. Deepthi is an accomplished Computer Science academician and researcher with over 17 years of teaching, research, and academic experience. She holds a Ph.D. in Computer Science and has expertise in Artificial Intelligence and Machine Learning, Data Structures and Algorithms, Data Analytics and Visualization, Cloud Computing, Database Management Systems, and Computer Networks. Her academic strengths include curriculum development, outcome-based education, postgraduate mentoring, research supervision, and integrating practical, application-oriented learning into teaching.

Her research focuses on Artificial Intelligence and Machine Learning applications, particularly in healthcare, cybersecurity, IoT, and intelligent network systems. She is interested in developing efficient and intelligent solutions using Deep Learning, Explainable AI, Edge Computing, Fog Computing, and secure wireless communication. Her research contributions include optimized load balancing in fog networks, trust-based identity management, secure data transmission, latency reduction, and IoT-based security applications. She has published research papers in IEEE and other reputed journals and has contributed to academic knowledge through a published book and an Indian patent.

Her subject interests include Artificial Intelligence and Machine Learning, Explainable AI, Data Science, Data Analytics and Visualization, Design and Analysis of Algorithms, Data Structures, Database Systems, Network Security, Cloud Computing, and Internet of Things. She is passionate about exploring emerging technologies, interdisciplinary research, and real-world problem-solving through computational intelligence. She is committed to mentoring students and research scholars, fostering research collaborations, promoting innovation, and contributing to quality higher education through continuous learning and academic leadership.