About
Academic researcher, educator, peer reviewer, and software professional with 16+ years of combined experience across academic teaching, research, and software development. My research focuses primarily on Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Video Analytics, Multimodal Learning, Image Processing, Anomaly Detection, Intelligent Surveillance, and Quantum-Classical AI architectures.
I have established an active scholarly publication and peer-review record, including 13 SCI Q1 journal publications, seven IEEE journal publications, and extensive verified peer-review activity.
My Web of Science Researcher Profile records 88 verified peer reviews, demonstrating sustained scholarly service and substantial experience in independent manuscript assessment.
My Springer Nature Reviewer Certificate dashboard additionally records 36 certificate-supported manuscript reviews across 15 journals as of July 2026
Employment
-
Koneru Lakshmaiah Education Foundation Assistant Professor2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Context-Preserving Video Summarization Pipeline for Real-Time Intelligent Anomaly Detection Save
- Integrated quantum-classical hybrid architectures for robust lung lesion segmentation in volumetric CT video data samples Save
- Quantum Kernelized DeepVision: A robust 3D U-Net framework for early detection of Primary Hyperoxaluria Type 1 in renal MRI Save
- EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL Save
- Spatio Contextual Bayesian Deep Networks For Predictive Security Breach Detection In Drone Grids Save
- Sentiment classification for telugu using transformed based approaches on a multi-domain dataset Save
- Reinforcement Learning Driven Anticipatory Summarization of Real Time Video Streams with Predictive Tracking Process Save
- Multiclass Brain Tumor Detection via DieT Transformer and Advanced Feature Selection Save
- Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments Save
- Enhancing Cyber-Security and Network Security Through Advanced Video Data Summarization Techniques Save