Md. Jawadul Karim
Papers
2
Total Citations
7
H-Index
2
About
Md. Jawadul Karim is a researcher at the intersection of deep learning, robotics, and sustainable agriculture, with a focus on real-time, edge-deployed automation. His work addresses critical challenges in both environmental sustainability and food production. He is best known for developing RTDRNet-lite, a lightweight real-time detection framework designed for robotic waste sorting, which has already garnered 5 citations since its 2025 publication. This contribution is pivotal for enabling efficient, low-latency vision systems on resource-constrained hardware in recycling automation. In a parallel vein, Karim has pioneered an autonomous pollination system for greenhouse tomato plants, integrating deep learning with robotic hardware manipulation on edge devices. This 2024 work tackles the specific challenge of air pollination in self-pollinating crops like tomatoes within isolated environments, where natural airflow is insufficient. By combining computer vision with precise robotic actuation, his system enhances crop productivity and reduces reliance on manual labor. Karim’s research is notable for its practical, deployment-oriented approach, bridging the gap between advanced AI models and real-world agricultural and robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2