Associate Professor at Aditya University, India
Dr. Chandra Sekhar Kolli is a dedicated academician and researcher with extensive experience in computer science and engineering. With a strong commitment to excellence in teaching, research, and institutional development, he has contributed significantly to various domains, including machine learning, cybersecurity, and data science. His expertise spans over a decade in academic institutions, where he has mentored numerous students and engaged in innovative research initiatives. His contributions to academia have earned him recognition, including the prestigious Best Teacher Award.
Profile
Scopus
Education
Dr. Kolli holds a Ph.D. in Computer Science from GITAM (Deemed to be University), Visakhapatnam, obtained in 2021. He earned his Master of Engineering (M.E.) in Computer Science from HITS (Deemed to be University), Chennai, in 2011 with a CGPA of 7.99. His academic journey began with a Master of Computer Applications (MCA) from Andhra University in 2008, followed by a B.Sc. in Computer Science from the same institution in 2005. His foundational education includes an Intermediate MPC qualification from Govt. Junior College, West Godavari, and an SSC from ZPH School, West Godavari.
Professional Experience
Dr. Kolli has been serving as an Associate Professor at Aditya University, Surampalem, since November 2024. Prior to this, he worked as an Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram, from June 2021 to October 2024. His earlier roles include Assistant Professor positions at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vijayawada (2017–2021), and Madanapalle Institute of Technology & Science, Madanapalle (2010–2017). Throughout his career, he has actively contributed to curriculum development, research supervision, and accreditation processes.
Research Interests
Dr. Kolli’s research interests include artificial intelligence, deep learning, federated learning, cybersecurity, data science, and cloud computing. His work primarily focuses on privacy-preserving AI models, fraud detection mechanisms, and optimization techniques for machine learning algorithms. His studies in these areas have resulted in impactful contributions to reputed international journals and conferences.
Awards and Recognitions
- Best Teacher Award (2019-2020) – Recognized for academic excellence and student mentorship in the Computer Science and Engineering Department at Koneru Lakshmaiah Education Foundation.
- WIPRO Certified Faculty (2020) – Successfully qualified in the Wipro Talent Next Global Certification program.
Selected Publications
Kolli, C. S., Seelamanthula, S., Reddy V, V.K. et al. (2024). Privacy-enhanced course recommendations through deep learning in federated learning environments. International Journal of Information Technology. Cited by 15 articles.
Kolli, C. S., Krishna Reddy, V. V., Reddy, T. S., et al. (2024). Deep learning-based privacy-preserving recommendations in federated learning. International Journal of General Systems. Cited by 12 articles.
Nalavade, J. E., Kolli, C. S., and Kumar, S. N. P. (2023). Deep embedded clustering with matrix factorization for collaborative recommendation. Expert Systems with Applications. Cited by 10 articles.
Tatireddy, S. R., Krishna Reddy, V. V., Vijaya Kumar Reddy, R., et al. (2023). SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification. The Imaging Science Journal. Cited by 8 articles.
Kolli, C. S., and Tatavarthi, U. D. (2022). Hybrid optimization and deep learning for detecting fraud transactions in banking. International Journal of Information Security and Privacy. Cited by 9 articles.
Bhingarkar, S., Revathi, S. T., Kolli, C. S., et al. (2022). Optimization-enabled deep learning for malicious behavior detection in cloud computing. International Journal of Intelligent Robotics Applications. Cited by 7 articles.
Kolli, C. S., and Tatavarthi, U. D. (2021). Fraud detection in bank transactions using wrapper models and deep recurrent neural networks. Kybernetes. Cited by 6 articles.
Conclusion
Dr. Chandra Sekhar Kolli is a seasoned academician with a strong background in computer science, research, and professional mentorship. His contributions to AI, deep learning, and cybersecurity have significantly impacted academia and industry applications. With an unwavering commitment to research and teaching excellence, he continues to shape the future of AI-driven technological advancements. His extensive publication record and recognition in academia highlight his dedication to innovation and knowledge dissemination. His expertise makes him a valuable contributor to the field of computer science and engineering.