| S.no |
Name |
College / Organisation |
Research Area |
PhD Guiding |
PhD Produced |
| 1 |
Dr. K Rajendra Prasad |
- Jawaharlal Nehru Technological University, Hyderabad
|
Cyber Security, Machine Learning, Image Processing, Information Security, Artificial Intelligence and Data Science
- Machine Learning - Disease Detection using supervised and unsupervised techniques
- Cybersecurity - Penetration testing and providing security
- Image Processing - Image Compression and fusion
- Data Science - Computing systems for data intensive applications
|
4 |
2 |
| 2 |
Dr R Obula Konda Reddy |
- Jawaharlal Nehru Technological University, Hyderabad
|
Image Processing and Computer Vision
- Image segmentation and pattern recognition for accurate identification and classification of visual data.
- Deep learning-based architectures such as CNNs and GANs for image generation, restoration, and object detection.
- Video analytics and motion tracking for intelligent surveillance and behavior analysis
- Medical image processing for disease detection, diagnostics, and healthcare automation.
- Scene understanding and 3D reconstruction for augmented reality and robotic vision applications.
|
- |
- |
| 3 |
Dr. P Ramadevi |
- Jawaharlal Nehru Technological University, Hyderabad
|
Wireless Ad Hoc Networks
- Routing Protocols for Energy Efficient and QoS routing.
- Security for Networks, routing protocols and Privacy of Users.
- Applications of the Wireless Adhoc networks for Sensor Networks.
- Integration with 5G and beyond.
|
- |
- |
| 4 |
Dr. D Mahammad Rafi |
- Visvesvaraya Technological University (VTU)
|
Artificial Intelligence and Machine Learning - Data pattern discovery and anomaly detection for enhancing data-driven business intelligence and cybersecurity systems.
- Deep neural network optimization for image recognition, speech processing, and natural language understanding.
- Hybrid machine learning frameworks integrating supervised and unsupervised models for robust classification and forecasting tasks.
- Feature engineering and dimensionality reduction for improving model accuracy and computational efficiency.
- Smart automation and cognitive computing applications in domains such as healthcare analytics, IoT-based monitoring, and financial prediction.
|
- |
- |
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