DK
Dr. V T RAM PAVAN KUMAR M
Kakaraparti Bhavanarayana College, University Grants Commission, Annamalai University, Jawaharlal Nehru Technological University, Kakinada
Research areas: Computer Science · Artificial Intelligence · Colorectal Cancer Screening and Detection · AI in cancer detection · Advanced Neural Network Applications
0009-0000-1441-7198
About
Myself Dr. V T Ram Pavan Kumar working as a HOD, PG Dept. of Computer Science & Applications in KBN College, Vijayawada. I was Awarded with PDF from NKUST Taiwan on 20th May 2025 I was awarded with Doctorate in March-2024. I Qualified UGC NET in 2024 , Qualified TSSET in Feb2024 and APSET in Dec 2022.
Employment
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KBN COLLEGE HOD & ASSOCIATE PROFESSOR2021 - Present
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KBN College Asst. Professor2013 - 2022
Education
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UGC NET2024 - 2024
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Annamalai University Ph.D2018 - 2024
- 2011 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (112)
- Deep Temporal Modeling for Rice Leaf Disease Recognition using TCN-GRU Save
- A Predictive Analytics Approach for Car Price Estimation Using Ensemble Regression Models Save
- A Real-Time Face Mask Detection and Monitoring System Using YOLOv8 and OpenCV Save
- A Real-Time Face Mask Detection and Monitoring System Using YOLOv8 and OpenCV Save
- AI-Powered Virtual Doctor: An Intelligent System for Automated Symptom Diagnosis and Health Recommendation Save
- An AI-Based Ocean Plastic Cleanup Tracker Using YOLOv8 and Satellite Image Analysis Save
- Automated Medical Image Segmentation for Tumor Detection Using U-Net Deep Learning Architecture Save
- Autonomous Vehicle Navigation: Lane and Traffic Sign Detection Using Deep Learning Techniques Save
- Crop Yield Prediction Using Data-Driven Machine Learning Models Based on Weather and Soil Parameters Save
- Crop Yield Prediction Using Data-Driven Machine Learning Models Based on Weather and Soil Parameters Save
- Drug Discovery Optimization Using Graph Neural Networks for Molecular Property Prediction Save
- Hierarchical Feature Refinement for Robust Audio Deepfake Detection Across Real-World Attacks Save
- Human Activity Recognition Using Deep Learning Models on Smartphone Sensor Data Save
- Multimodal Emotion Recognition Through Fusion of Textual and Visual Deep Learning Features Save
- Speech Emotion Recognition Using Deep Convolutional and Recurrent Neural Networks Save
- An AI-Driven Framework for Stock Price Prediction Using LSTM, GRU, and Transformer Models with Time Series and Sentiment Analysis Integration Save
- Dynamic Web Programming Save
- A Futuristic Brain-IoT Framework for Thought-Based Control of Smart Environments Save
- A Survey on NIPHA Virus: Detection, Analysis, and Emerging Computational Approaches Save
- Advanced Anomaly Detection in Server Environments against Emerging Cyber-Attack Patterns Save