Research Interests & Projects
Research Interests
- Computer Vision
- Deep Reinforcement Learning
- Precision Agriculture and Healthcare
- AI Infrastructure and Operations
Selected Projects & Themes
- Lane detection and autonomous vehicles: Ensemble and multi-armed bandit approaches for robust lane detection in varying conditions.
- Plant disease detection: Several CNN approaches for detecting leaf diseases and improving early diagnosis for precision agriculture.
- Reinforcement learning for forecasting & control: Applications include water management systems, financial/time-series forecasting (cryptocurrency), and prosthetic/assistive devices.
- AI Infrastructure: Multi-cloud brokerage, container-based brokering, and GPU-accelerated training pipeline and lab administration (NVIDIA DGX, Jetson).
Research Metrics & Profiles
Citations: 1622 | h-index: 10 | i10-index: 11
Google Scholar: Lt94FW0AAAAJ
Scopus Author ID: 56398419000 | ORCID: 0000-0001-8177-3096
Supervision & Mentorship (selected)
Mentored student projects including TNSCST-funded "Smart Quality Analysis of Onion in Market by Deep Learning", and guided several student teams for hackathons and applied AI projects.