Research Areas:

• Smart Agriculture, Image Forensics, Deepfake Technology, Edge Computing, IoT Devices, TinyML.

Technology Areas:

• AI/ML/Deep Learning, Computer Vision, Federated learning.

Ongoing Projects:

• Crop Yield Prediction.
• AI-based Crop Models.
• Short Term Climate Model
• Light Duty Hardware Platforms for Plant Disease Detection.
• Deepfake Detection.

Selected Projects in Image Forensic at Edge:

• Image Forensics related to social media.
• GAN-generated Deepfake Image Detection at Edge.
• Deepfake Video Detection.
• Robust Facial Recognition System for Smart City.
• Biometric-based Digital ID for Smart City.

Selected Projects in Smart Agriculture:

• Precision and sustainable agriculture using machine and deep learning.
• AI-based Internet of Agricultural Things (IoAT) Frameworks.
• Crop Yield Prediction.
• Plant Disease and Damage Detection using Computer Vision.
• Light Duty Hardware Platforms for Plant Disease Detection.
• Weed Detection.