Experience -: Academic 16 years
Contact Number -:+91 9666250574
Qualification -:
Ph.D : Pursuing
M.Tech:Computers and Communication Engineering – JNTUH
B.Tech: Computer Science and Information Technology – JNTUH
JNTUH ID: 49150407191453
AICTE ID: 1502821768
- Received Best paper award for the title” A Wireless Detector Network for Three-Dimensional Positioning Using Artificial Neural Networks IN NETWORK, MULTIMEDIA AND NETWORK SECURITY TRACK” in ICRTEC 2023- International Conference on Recent Trends in Electronics and Communication, held at National Institute of Engineering, Mysuru from 10th to 11th February 2023 .
- Published paper on “A Study of Comparison between Machine Learning and Deep Learning” In International Advanced Research Journal in Science, Engineering and Technology Vol. 8, Issue 2, February 2021 ISSN (Online) 2393-8021, ISSN (Print) 2394-1588
- Published paper on “A Study of Identify Best Image Compression Techniques (CT) and Image Compression Tools” In the Journal of Mukt Shabd Journal ISSN NO : 2347-3150 Volume IX, Issue VIII, AUGUST/2020
- Presented paper on “A Novel Approach to Prognosticate CKD Using a Supervised and Unsupervised Learning Algorithms” in the 4th International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES-2022)
- Presented paper on “A Novel Approach to Universal Egg Incubator Using Proteus Design Tool and Application of IoT” in the 4th International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES-2022)
- Presented paper on “ A Wireless Detector Network for Three-Dimensional Positioning Using Artificial Neural Networks” In the International Conference on Recent Trends in Electronics and Communication (ICRTEC) 2023
AHQD-WSA: Adaptive Hybrid Quantum-Deep Reinforcement Learning Workflow Scheduling Algorithm for Secure and Energy-Efficient Edge Computing.
International Conference on Emerging Trends in Advancements and Applications of Computational Intelligence Techniques (ETAACT) 2026, IEEE (Scopus Indexed) , 03 June 2026.
Empowering Agriculture: Harnessing the Potential of Machine Learning Techniques.
Vol. 14 No. 11S (2025): Journal of Neonatal Surgery (Scopus Indexed).
An Approach for Person Detection along with Object Using Machine Learning.
Journal of Advances in Information Technology, Vol. 14, No. 3, 2023.